Podcasts about SQL

Episode 137: In this episode of Critical Thinking - Bug Bounty Podcast Justin Gardner and Joseph Thacker reunite to talk about AI Hacking Assistants, CSPT and cache deception, and a bunch of tools like ch.at, Slice, Ebka, and more.Follow us on twitter at: https://x.com/ctbbpodcastGot any ideas and suggestions? Feel free to send us any feedback here: info@criticalthinkingpodcast.ioShoutout to YTCracker for the awesome intro music!====== Links ======Follow your hosts Rhynorater and Rez0 on Twitter:https://x.com/Rhynoraterhttps://x.com/rez0__====== Ways to Support CTBBPodcast ======Hop on the CTBB Discord at https://ctbb.show/discord!We also do Discord subs at $25, $10, and $5 - premium subscribers get access to private masterclasses, exploits, tools, scripts, un-redacted bug reports, etc.You can also find some hacker swag at https://ctbb.show/merch!Today's Sponsor - ThreatLocker. Checkout ThreatLocker DAC!https://www.criticalthinkingpodcast.io/tl-dac====== This Week in Bug Bounty ======Vulnerability vectors: SQL injection for Bug Bounty huntersMozilla VPN Clients: RCE via file write and path traversal====== Resources ======Cache Deception + CSPT:dig @ch.atSearchlight Cyber ToolsSliceEbka-Caido-AIpostMessage targetOrigin bypass====== Timestamps ======(00:00:00) Introduction(00:01:26) Claude, Gemini, and Hacking Assistants(00:11:08) AI Safety(00:18:09) CSPT(00:23:26) ch.at, Slice, Ebka, & Searchlight Cyber Tools(00:45:19) postMessage targetOrigin bypass

In this episode of FP&A Tomorrow, host Paul Barnhurst is joined by William Spengler, founder of Frederick Fox, a recruiting firm specializing in placing top-tier finance and accounting talent. They discuss what employers are looking for in FP&A professionals and the growing demand for technical skills such as Power BI, Tableau, and SQL. William shares insights into the current job market, what makes candidates stand out, and why effective communication and a curious mindset are essential for success in finance. The episode is packed with practical advice for job seekers and finance professionals looking to advance in their careers.William is the founder and principal of Frederick Fox, a recruiting firm that specializes in placing finance and accounting talent. Since its launch in 2019, Frederick Fox has grown rapidly, serving over 700 clients with a team of 55+ experienced recruiters. The firm has achieved this growth without outside funding, focusing on speed, accountability, and results. Frederick Fox has redefined the recruiting process, prioritizing lean systems and performance-based partnerships to help companies make confident hires. Outside of work, William is a guitar-playing father of three, a math nerd turned entrepreneur, and an enthusiast of spicy food and hot yoga.Expect to Learn:Why accounting and finance roles are becoming more crucial to businesses todayHow to stand out as an FP&A candidate in a competitive job marketThe importance of mastering technical tools like Power BI, Tableau, and SQLWhy humble curiosity is key to becoming a better business partnerHow recruiters assess FP&A candidates and what skills they prioritizeHere are a few quotes from the episode:“Accountants are becoming like the new software engineers. They're in high demand and increasingly critical to business operations.” - William Spengler“The biggest mistake candidates make is not reaching out directly to hiring managers with relevant examples. Networking is key.” - William Spengler“If you're not networking continuously, you're not future-proofing your career.” - William SpenglerWilliam Spengler shared valuable insights into the FP&A job market, highlighting the demand for technical skills, the importance of effective communication, and the value of humble curiosity. His practical advice on networking, understanding business needs, and positioning yourself for success will help both job seekers and finance professionals advance in their careers. World-class Digital FP&A Course Bundle: Sign up for over ten hours of video content with 4 different courses and 8 modules on FP&A topics, including: Business Partnering, Data Analysis, Financial Modeling Design Principles, and Modern Excel. Use code Podcast to save 25%. What are you waiting for? Sign up today: https://bit.ly/4decOf3Follow FP&A Tomorrow:Newsletter - Subscribe on LinkedIn - https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=6957679529595162624 Follow William:LinkedIn - www.linkedin.com/in/william-spengler-2193433aWebsite: https://frederickfox.com/Facebook:

This week on The Data Stack Show, Brooks and John welcome back Kostas Pardalis, long-time co-host of the Data Stack Show and now Co-Founder of typedef. The group discusses the rapid evolution of AI and data infrastructure. The conversation also explores how AI is accelerating industry change, the challenges of integrating large language models (LLMs) into data workflows, and the limitations of current semantic layers. Kostas shares insights on building next-generation query engines, the importance of using familiar engineering paradigms, and the need to make AI seamless and almost invisible in user experiences. Key takeaways include the necessity of practical, incremental innovation, the reality behind AI hype, strategies for making advanced data tools accessible and reliable for engineers and businesses alike, and so much more. Highlights from this week's conversation include:Kostas's Background and Career Timeline (1:10)Transition from RudderStack to Starburst Data (4:25)AI Acceleration and Industry Impact (9:37)AI Hype, Investment, and Polarized Reactions (12:05)Historical Parallels and Tech Adoption (13:54)AI Disrupting Tech Workers and Internal Drama (18:56)Experimentation Phase and Future AI Applications (24:01)Invisible AI and User Experience (28:21)AI in Data Infrastructure and LLMs (34:24)SQL, LLMs, and Engineering Solutions (36:35)Standardization, Semantic Layers, and Data Modeling (41:01)Introduction to typedef (45:49)Productionizing AI Workloads with typedef (51:36)Familiarity, Reliability, and Engineering Best Practices (57:24)Security, Enterprise Concerns, and Open Source Models (1:00:48)Final Thoughts and Takeaways (1:01:47)The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Welcome to another episode of Data Driven! Today, hosts Frank La Vigne and Andy Leonard, are joined by Dr. Ido Zamberg—a rare breed who's equally comfortable rebooting servers and saving lives. Dr. Zamberg is a physician, software engineer, chief medical officer at C8 Health, and a true innovator at the intersection of medicine and technology. In this episode, we dive into his unique journey from startups and coding to the operating room, exploring how his hands-on technical expertise is helping frontline clinicians access real-time, AI-powered decision support.Expect fascinating insights into the evolution of healthcare technology, the challenges (and rewards) of bridging vastly different worlds, and why seamless access to best practices at the point of care can be truly lifesaving. Dr. Zamberg shares anecdotes from his career, reflects on the importance of context-driven solutions, and offers a behind-the-scenes look at making clinical workflows smarter, faster, and safer with modern AI. So if you're curious about how SQL queries meet scalpel skills, this is an episode you won't want to miss!Time Stamps00:00 From Software Engineer to Physician-Entrepreneur06:04 "From Tech to Medicine: A Journey"07:43 Tech-Medicine Integration Challenges12:55 Diverse Medical Experience Overview14:49 "Healthcare Solutions Over Tech Focus"18:41 Hospital Best Practices Standardization20:46 Streamlined Clinician Information Platform23:59 Solving Healthcare Inefficiencies29:22 Understanding the Challenges of Tough Jobs30:11 Practice Grace Over Wealth33:59 Healthcare Platform for Providers39:11 Generative AI in Clinical Queries42:16 Value of Expertise in Problem-Solving43:48 Praising Expert in AI Medicine47:50 AI Revolutionizing Healthcare Information51:27 Data, Coffee, and Code Insights

In this episode, we went live to discuss Kaito's business model, revenues, and token dynamics. We also took a look at lending markets, including Aave's dominance, Morpho's growth, and Maple and Euler's momentum. Finally, we reviewed Aerodrome's Coinbase integration and Fluid's expansion plans.Thanks for tuning in! As always, remember this podcast is for informational purposes only, and any views expressed by anyone on the show are solely their opinions, not financial advice. -- Katana is a DeFi-first chain built for deep liquidity and real yield, by redirecting chain revenue back to active DeFi users. The 1 billion KAT campaign is live. Bridge and deposit directly into vaults in one simple click and start earning immediately on your ETH, BTC, USDC, and more.  Go to app.katana.network to check it out.  -- Is your treasury losing value to inflation? Learn how to make digital assets like ETH and SOL productive with uncorrelated, protocol-driven staking rewards.  A new report from Liquid Collective and EigenCloud outlines a practical guide for CFOs to integrate institutional-grade staking and restaking.  Read The Productive Treasury Report: https://liquidcollective.io/corporate-treasury-staking/  -- Crypto's premiere institutional conference returns to London in October 2025. Use code 0x100 for £100 off at checkout: https://blockworks.co/event/digital-asset-summit-2025-london -- Blockworks is hiring a Research Data Analyst. If you live in SQL and love making sense of onchain chaos, apply today: https://jobs.ashbyhq.com/Blockworks?utm_source=EQPb2dAAxr -- Follow Carlos: https://x.com/0xcarlosg Follow Daniel: https://x.com/_dshap Follow Kunal: https://x.com/Kunallegendd Follow Danny: https://x.com/defi_kay_ Follow Boccaccio: https://x.com/salveboccaccio Follow Blockworks Research: https://x.com/blockworksres Subscribe on YouTube: https://bit.ly/3foDS38 Subscribe on Apple: https://apple.co/3SNhUEt Subscribe on Spotify: https://spoti.fi/3NlP1hA Get top market insights and the latest in crypto news. Subscribe to Blockworks Daily Newsletter: https://blockworks.co/newsletter/ Join the 0xResearch Telegram group: https://t.me/+UFFz4z3qyrhhMDYx -- Timestamps: (0:00) Introduction (4:17) What's Next For Kaito? (28:32) Ads (Katana & Eigen Cloud) (29:36) Lending Market Update (52:47) Ads (Katana & Eigen Cloud) (54:08) Updates on Aerodrome & Fluid (1:30:20) Closing Comments -- Check out Blockworks Research today! Research, data, governance, tokenomics, and models – now, all in one place Blockworks Research: https://www.blockworksresearch.com/ Free Daily Newsletter: https://blockworks.co/newsletter -- Disclaimer: Nothing said on 0xResearch is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Boccaccio, Danny, and our guests may hold positions in the companies, funds, or projects discussed.

During this livestream, we dive into the rise of state and corporate stablecoins, and Stripe's blockchain strategy. We also discuss Walmart's potential stablecoin, Circle's business model, network extensions on Solana, Avalanche's positioning, and overall market sentiment amid volatility. Thanks for tuning in! As always, remember this podcast is for informational purposes only, and any views expressed by anyone on the show are solely their opinions, not financial advice. -- Bitcoin DeFi is heating up on Aptos, the BTCFi growth chain with nearly $400M in BTC assets supported by a secure, fast, and affordable MVM environment. Aptos users can acquire, hold, and earn attractive BTCFi yields via Echo aBTC and OKX xBTC, without typical bridge risks and high fees.  Explore BTC yield opportunities on Aptos via OKX Earn and Aptos-native platforms https://web3.okx.com/earn/activity/xbtc-aptos  -- Crypto's premiere institutional conference returns to London in October 2025. Use code 0x100 for £100 off at checkout: https://blockworks.co/event/digital-asset-summit-2025-london -- Blockworks is hiring a Research Data Analyst. If you live in SQL and love making sense of onchain chaos, apply today: https://jobs.ashbyhq.com/Blockworks?utm_source=EQPb2dAAxr -- Follow James: https://x.com/JamesChristoph_ Follow Carlos: https://x.com/0xcarlosg Follow Marc: https://x.com/marcarjoon Follow Danny: https://x.com/defi_kay_ Follow Boccaccio: https://x.com/salveboccaccio Follow Blockworks Research: https://x.com/blockworksres Subscribe on YouTube: https://bit.ly/3foDS38 Subscribe on Apple: https://apple.co/3SNhUEt Subscribe on Spotify: https://spoti.fi/3NlP1hA Get top market insights and the latest in crypto news. Subscribe to Blockworks Daily Newsletter: https://blockworks.co/newsletter/ Join the 0xResearch Telegram group: https://t.me/+z0H6y2bS-dllODVh -- Timestamps: (0:00) Introduction (5:59) State & Corporate Stablecoins (20:47) Aptos Ad (21:22) Walmart's Stablecoin (29:50) Will the Stripe L1 Have a Token? (49:52) Chains Maintaining Relevancy (58:55) Aptos Ad (1:01:11) Market Outlook -- Check out Blockworks Research today! Research, data, governance, tokenomics, and models – now, all in one place Blockworks Research: https://www.blockworksresearch.com/ Free Daily Newsletter: https://blockworks.co/newsletter -- Disclaimer: Nothing said on 0xResearch is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Boccaccio, Danny, and our guests may hold positions in the companies, funds, or projects discussed.

Nik and Michael discuss multi-column indexes in Postgres — what they are, how to think about them, and some guidance around using them effectively. Here are some links to things they mentioned:Multicolumn Indexes (docs) https://www.postgresql.org/docs/current/indexes-multicolumn.htmlOur episode on Index-only scans https://postgres.fm/episodes/index-only-scansCombining Multiple Indexes (docs) https://www.postgresql.org/docs/current/indexes-bitmap-scans.htmlEnable BUFFERS with EXPLAIN ANALYZE by default https://git.postgresql.org/gitweb/?p=postgresql.git;a=commit;h=c2a4078ebad71999dd451ae7d4358be3c9290b07“PostgreSQL includes an implementation of the standard btree […] The only limitation is that an index entry cannot exceed approximately one-third of a page” https://www.postgresql.org/docs/current/btree.htmlOur episode on HOT updates https://postgres.fm/episodes/hot-updatesOur episode on LIMIT vs Performance https://postgres.fm/episodes/limit-vs-performance~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork

This is episode 301 recorded on August 20th, 2025, where John & Jason talk with friends and fellow podcasters Andrew Connell & Julie Turner of the Code.Deploy.GoLive show about how this podcast is AC's fault in the first place, what they are doing with their new podcast, community, and general shenanigans to celebrate the BIFocal.show's 300th episode. For show notes please visit www.bifocal.show

Is it a database software? An operating system? It's both. Produced by Richard Pick, nicknamed "Dick", (Yes, I know) Pick OS is older than SQL, UNIX, or CP/M. I have never seen anything like it, and the people who use it tend to love it to death. In today's video, we explore a unique database software plus operating system.

Feeling behind on your data journey? Don't worry. Today, I'll list down the 13 signs that prove you're actually ahead (even if you're actually doing just some of these).✨ Try Julius today at https://landadatajob.com/Julius-YT

MariaDB is a name with deep roots in the open-source database world, but in 2025 it is showing the energy and ambition of a company on the rise. Taken private in 2022 and backed by K1 Investment Management, MariaDB is doubling down on innovation while positioning itself as a strong alternative to MySQL and Oracle. At a time when many organisations are frustrated with Oracle's pricing and MySQL's cloud-first pivot, MariaDB is finding new opportunities by combining open-source freedom with enterprise-grade reliability. In this conversation, I sit down with Vikas Mathur, Chief Product Officer at MariaDB, to explore how the company is capitalising on these market shifts. Vikas shares the thinking behind MariaDB's renewed focus, explains how the platform delivers similar features to Oracle at up to 80 percent lower total cost of ownership, and details how recent innovations are opening the door to new workloads and use cases. One of the most significant developments is the launch of Vector Search in January 2023. This feature is built directly into InnoDB, eliminating the need for separate vector databases and delivering two to three times the performance of PG Vector. With hardware acceleration on both x86 and IBM Power architectures, and native connectors for leading AI frameworks such as LlamaIndex, LangChain and Spring AI, MariaDB is making it easier for developers to integrate AI capabilities without complex custom work. Vikas explains how MariaDB's pluggable storage engine architecture allows users to match the right engine to the right workload. InnoDB handles balanced transactional workloads, MyRocks is optimised for heavy writes, ColumnStore supports analytical queries, and Moroonga enables text search. With native JSON support and more than forty functions for manipulating semi-structured data, MariaDB can also remove the need for separate document databases. This flexibility underpins the company's vision of one database for infinite possibilities. The discussion also examines how MariaDB manages the balance between its open-source community and enterprise customers. Community adoption provides early feedback on new features and helps drive rapid improvement, while enterprise customers benefit from production support, advanced security, high availability and disaster recovery capabilities such as Galera-based synchronous replication and the MacScale proxy. We look ahead to how MariaDB plans to expand its managed cloud services, including DBaaS and serverless options, and how the company is working on a “RAG in a box” approach to simplify retrieval-augmented generation for DBAs. Vikas also shares his perspective on market trends, from the shift away from embedded AI and traditional machine learning features toward LLM-powered applications, to the growing number of companies moving from NoSQL back to SQL for scalability and long-term maintainability. This is a deep dive into the strategy, technology and market forces shaping MariaDB's next chapter. It will be of interest to database architects, AI engineers, and technology leaders looking for insight into how an open-source veteran is reinventing itself for the AI era while challenging the biggest names in the industry.

Nikolay and Michael discuss self-driving Postgres — what it could mean, using self-driving cars as a reference, and ideas for things to build and optimize for in this area. Here are some links to things they mentioned:Nikolay's blog post on Self-driving Postgres https://postgres.ai/blog/20250725-self-driving-postgresSAE J3016 levels of driving automation https://www.sae.org/news/2019/01/sae-updates-j3016-automated-driving-graphicOracle Autonomous Database https://www.oracle.com/uk/autonomous-database/Self-Driving Database Management Systems (2017 paper) https://db.cs.cmu.edu/papers/2017/p42-pavlo-cidr17.pdfPGTune https://pgtune.leopard.in.ua/pg_index_pilot https://gitlab.com/postgres-ai/pg_index_pilot/[Vibe] Hacking Postgres with Andrey, Kirk, Nik – index bloat, btree page merge https://www.youtube.com/watch?v=D1PEdDcvZTw~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork

Qian Li of DBOS, a durable execution platform born from research by the creators of Postgres and Spark, speaks with host Kanchan Shringi about building durable, observable, and scalable software systems, and why that matters for modern applications. They discuss database-backed program state, workflow orchestration, real-world AI use cases, and comparisons with other workflow technologies. Li explains how DBOS persists not just application data but also program execution state in Postgres to enable automatic recovery and exactly-once execution. She outlines how DBOS uses workflow and step annotations to build deterministic, fault-tolerant flows for everything from e-commerce checkouts to LLM-powered agents. Observability features, including SQL-accessible state tables and a time-travel debugger, allow developers and business users to understand and troubleshoot system behavior. Finally, she compares DBOS with tools like Temporal and AWS Step Functions. Brought to you by IEEE Computer Society and IEEE Software magazine.

Join Automox cybersecurity experts Ryan Braunstein and Mat Lee for August 2025's Patch [FIX] Tuesday, covering a Hyper-V privilege escalation, an Azure Virtual Machines spoofing flaw, and four serious SQL Server vulnerabilities. Learn how attackers could chain virtualization and cloud exploits, why crafted VHDX files and spoofed certificates are dangerous, and the ongoing threat of SQL injection. Includes recommendations for hardening databases, improving certificate management, and reducing lateral movement risks in virtualized environments.

Thinking of becoming a certified penetration tester? Your journey starts here. In Part 1 of our PenTest+ prep series, we lay the groundwork for mastering offensive security—from tools and techniques to frameworks and real-world attack insights.Whether you're targeting the CompTIA PenTest+ or sharpening your pentesting skills, this session helps you build the mindset and toolkit of a professional ethical hacker.

Nikolay and Michael discuss case-insensitive data — when we want to treat columns as case-insensitive, and the pros and cons of using citext, functions like lower(), or a custom collation. Here are some links to things they mentioned:citext https://www.postgresql.org/docs/current/citext.htmlOur episode on over-indexing https://postgres.fm/episodes/over-indexingNondeterministic collations https://www.postgresql.org/docs/current/collation.html#COLLATION-NONDETERMINISTICHow to migrate from Django's PostgreSQL CI Fields to use a case-insensitive collation (blog post by Adam Johnson) https://adamj.eu/tech/2023/02/23/migrate-django-postgresql-ci-fields-case-insensitive-collationThe collation versioning problem with ICU 73 (blog post by Daniel Vérité) https://postgresql.verite.pro/blog/2023/10/20/icu-73-versioning.htmlamcheck https://www.postgresql.org/docs/current/amcheck.html~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork

This is episode 300 recorded on July 31st, 2025, where John & Jason talk the Microsoft Fabric July 2025 Feature Summary including tags in Fabric Domains, Fabric Data Agent integration with Microsoft Copilot Studio, enhancements to Activator, manual control of Auto-Refresh in pipelines, and CosmosDB in preview now in Fabric. For show notes please visit www.bifocal.show

UK & Ireland Director of Intelligence Enterprise at GlobalLogic, Tim Hatton, explores how principles of control theory, exemplified by SpaceX's Starship, apply to the design of effective enterprise agentic AI systems. Reaching for the stars has always been the pinnacle of human ingenuity. The relentless desire to push beyond known boundaries is what drives innovation and advancement all around the globe. The recent example of SpaceX's latest Starship spacecraft soaring into the skies and returning with precision isn't just a milestone in aerospace engineering - it's a vivid illustration of what's possible when our boundless creativity fuels cutting-edge technologies. SpaceX's success demonstrates that autonomous software can effectively control a sophisticated system and steer it toward defined goals. This seamless blend of autonomy, awareness, intelligent adaptability, and results-driven decision-making offers a compelling analogy for enterprises. It's a beacon for a future where agentic AI systems revolutionise workflows, drive innovation, and transform industries. Control theory: A proven framework Control theory underpins self-regulating systems that balance performance and adaptability. It dates from the 19th century when Scottish physicist and mathematician James Clerk Maxwell first described the operation of centrifugal 'governors'. Its core principles - feedback loops, stability, controllability, and predictability - brought humanity into the industrial age. Starting with stabilising windmill velocity, up to today's spaceflights, nuclear stations and nation-spanning electricity grids. We see control theory in action when landing a rocket, for example. The manoeuvre relies on sensors to measure actual parameters, controllers to adjust based on feedback, and the system to execute corrections. Comparing real-time data to desired outcomes minimises errors, ensuring precision and safety. It's a framework that extends to enterprise workflows. Employees function as systems, supervisors as controllers, and tasks as objectives. A seasoned worker might self-correct without managerial input, paralleling autonomous systems' ability to adapt dynamically. Challenges in agentic AI Agentic AI systems combine traditional control frameworks' precision with advanced AI models' generative power. However, while rockets rely on the time-tested principles of control theory, AI-driven systems are powered by large language models (LLMs). This introduces new layers of complexity that make designing resilient AI agents that deliver precision, adaptability, and trustworthiness uniquely challenging. Computational irreducibility: LLMs like GPT-4 defy simplified modelling. They are so complex and their internal workings so intricate that we cannot predict their exact outputs without actually running them. Predicting outputs requires executing each computational step, complicating reliability and optimisation. A single prompt tweak can disrupt workflows, making iterative testing essential, yet time-consuming. Nonlinearity and high dimensionality: Operating in high-dimensional vector spaces, with millions of input elements, LLMs process data in nonlinear ways. This means outputs are sensitive to minor changes. Testing and optimising the performance of single components of complex workflows, like text-to-SQL queries, under these parameters, becomes a monumental task. Blurring code and data: Traditional systems separate code and data. In contrast, LLMs embed instructions within prompts, mixing the two. This variability introduces a host of testing, reliability, and security issues. This blurring of ever-growing data sets with the prompts introduces variability that is difficult to model and predict, which also compounds the dimensionality problem described above. Stochastic behaviour: LLMs may produce different outputs for the same input due to factors like sampling methods during generation. This means they introduce randomness - an asset for creati...

For memberships: join this channel as a member here:https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinSummaryIn this conversation, Nitish Tiwari discusses Parseable, an observability platform designed to address the challenges of managing and analyzing large volumes of data. The discussion covers the evolution of observability systems, the design principles behind Parseable, and the importance of efficient data ingestion and storage in S3. Nitish explains how Parseable allows for flexible deployment, handles data organization, and supports querying through SQL. The conversation also touches on the correlation of logs and traces, failure modes, scaling strategies, and the optional nature of indexing for performance optimization.References:Parseable: https://www.parseable.com/GitHub Repository: https://github.com/parseablehq/parseableArchitecture: https://parseable.com/docs/architecture Chapters:00:00 Introduction to Parseable and Observability Challenges05:17 Key Features of Parseable12:03 Deployment and Configuration of Parseable18:59 Ingestion Process and Data Handling32:52 S3 Integration and Data Organisation35:26 Organising Data in Parseable38:50 Metadata Management and Retention39:52 Querying Data: User Experience and SQL44:28 Caching and Performance Optimisation46:55 User-Friendly Querying: SQL vs. UI48:53 Correlating Logs and Traces50:27 Handling Failures in Ingestion53:31 Managing Spiky Workloads54:58 Data Partitioning and Organisation58:06 Creating Indexes for Faster Reads01:00:08 Parseable's Architecture and Optimisation01:03:09 AI for Enhanced Observability01:05:41 Getting Involved with ParseableFor memberships: join this channel as a member here:https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinDon't forget to like, share, and subscribe for more insights!=============================================================================Like building stuff? Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription.https://app.codecrafters.io/join?via=geeknarrator=============================================================================Database internals series: https://youtu.be/yV_Zp0Mi3xsPopular playlists:Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA-Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_dModern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsNStay Curios! Keep Learning!#database #s3 #objectstorage #opentelemetry #logs #metrics

Miss us?Feels like it's been a few weeks since we've had something new to share. This week, we're excited to share a video we recorded just before the release of First of Kind. Grant Lee fits the profile of a founder indie is built to support: worked in investment banking, and joined a hot YC startup that didn't end up being the rocket ship they'd planned. Joined another venture-backed startup that found a successful outcome, but has made intentional decisions to build differently now that he's working on something of his own. The wave we predicted in our Indie Era of Startups talk has started to crest, and founders, like Grant, are demonstrating the benefits to this new way of building. In this conversation, we break down Grant's approach to building Gamma into a few discreet buckets. The first is a small team of what he calls player-coaches. These team members are not interested in growing their org so much as focusing on results. And not just results, but results that they can manage from idea to execution. Bye-bye middle managers, hello player-coaches. Grant explains this approach best in his pinned tweet:Instead of creating specialist silos, we hire versatile generalists who can solve problems across domains. Rather than building management hierarchies, we find player-coaches who both lead and execute. Our team leverages AI tools throughout our workflow - Claude for data analysis, Cursor for coding efficiency, NotebookLM for customer research synthesis. These aren't just productivity hacks; they're force multipliers. Examples: — When our growth PM needed better analytics, he didn't file a ticket with a data team—he built a self-serve system that anyone can use without SQL knowledge. — When our marketing lead needed to understand our customers better, she fed thousands of interactions into an LLM and created actionable personas that now guide our entire strategy. — When our design team needs to test a hypothesis, we create a rapid prototype and show it to our power users. What we're seeing isn't just about "doing more with less." It's about fundamentally changing what's possible per person. The most valuable employees aren't specialists who excel in narrow domains - they're resourceful problem-solvers who continuously expand their capabilities. This approach creates remarkable resilience. Since everyone understands multiple functions, we don't have single points of failure when someone leaves or moves to another project. If you're building today, the question isn't how quickly you can scale headcount — it's how much impact you can create with the smallest possible team. The future belongs to tiny teams of extraordinary people.The next is to embrace constraints. At the time of this recording, Gamma was doing $50M in ARR and had over 50M users. Yes, you read that right. And, yes, they've done this while keeping their team small and wildly profitable for over a year. They do not see profitability as a lack of imagination or ambition, but the fuel for them to continue building on their own terms and timelines. This was a phenomenal conversation, and one that touches on many of the ideas we've been advocating for with indie over the years. We hope you see in Grant and Gamma something to aspire to as a founder that goes far deeper than hitting the next fundable milestone. We hope you enjoy listening as much as we enjoyed recording this one.

Nikolay talks to Michael about Postgres AI's new monitoring tool — what it is, how its different to other tools, and some of the thinking behind it. Here are some links to things they mentioned:postgres_ai monitoring https://gitlab.com/postgres-ai/postgres_aiDB Lab 4.0 announcement https://github.com/postgres-ai/database-lab-engine/releases/tag/v4.0.0pganalyze https://pganalyze.compostgres-checkup https://gitlab.com/postgres-ai/postgres-checkupPercona Monitoring and Management (PMM) https://github.com/percona/pmmpgwatch https://github.com/cybertec-postgresql/pgwatchpgwatch Postgres AI Edition https://gitlab.com/postgres-ai/pgwatch2libpg_query https://github.com/pganalyze/libpg_queryThe Four Golden Signals https://sre.google/sre-book/monitoring-distributed-systems/#xref_monitoring_golden-signalslogerrors https://github.com/munakoiso/logerrors~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork

Dans cet épisode du Big Data Hebdo, Vincent Heuschling et Quentin Ambard reviennent sur le Data and AI Summit 2025 de Databricks.En autres on parle de :L'acquisition de Néon pour avoir une BDD au dessus du LakehouseLakeflow Designer pour avoir une approche low-codeL'intégration de l'IADatabricks One pour rendre l'interface plus accessibleLes améliorations du moteur SQL de DatabricksAgent Bricks qui simplifie le développement d'agents AI.La data-gouvernance avec Unity Catalog.Le Vector Search au dessus du lakehouseLes inevitables troll envers Snowflake

In this episode of Elixir Wizards, Charles Suggs sits down with Chris Grainger, co-founder and CTO of Amplified and creator of the Explorer library. Chris explains how Explorer brings the familiar data-frame workflows of R's dplyr and Python's pandas into the Elixir world. We explore (pun intended!) how Explorer integrates with Ecto, Nx, and LiveView to build end-to-end data pipelines without leaving the BEAM, and how features like lazy evaluation and distributed frames let you tackle large datasets. Whether you're generating reports or driving interactive charts in LiveView, Explorer makes tabular data accessible to every Elixir developer. We wrap up by looking ahead to SQL-style backends, ADBC connectivity, and other features on the Explorer roadmap. Key topics discussed in this episode: dplyr- and pandas-inspired data manipulation in Elixir Polars integration via Rust NIFs for blazing performance Immutable data frames and BEAM-friendly concurrency Lazy evaluation to work with arbitrarily large tables Distributed data-frame support for multi-node processing Seamless integration with Ecto schemas and queries Zero-copy interoperability between Explorer and Nx tensors Apache Arrow and ADBC protocols for cross-language I/O Exploring SQL-style backends for remote query execution Building interactive dashboards and charts in LiveView Consolidating ETL workflows into a single Elixir API Streaming data pipelines for memory-efficient processing Tidy data principles and behavior-based API design Real-world use cases: report generation, patent analysis, and more Future roadmap: new backends, query optimizations, and community plugins Links mentioned: https://hexdocs.pm/explorer/Explorer.html https://www.amplified.ai/ https://www.r-project.org/ https://vita.had.co.nz/papers/tidy-data.pdf https://www.tidyverse.org/ https://www.python.org/ https://dplyr.tidyverse.org/ https://go.dev/ https://hexdocs.pm/nx/Nx.html https://github.com/pola-rs/polars https://github.com/rusterlium/rustler https://www.rust-lang.org/ https://www.postgresql.org/ https://hexdocs.pm/ecto/Ecto.html https://www.elastic.co/elasticsearch https://arrow.apache.org/ Chris Grainger & Chris McCord Keynote ElixirConf 2024: https://youtu.be/4qoHPh0obv0 https://dbplyr.tidyverse.org/ https://spark.posit.co/ https://hexdocs.pm/pythonx/Pythonx.html https://hexdocs.pm/vegalite/VegaLite.html 10 Minutes to Explorer: https://hexdocs.pm/explorer/exploringexplorer.html https://github.com/elixir-nx/scholar https://scikit-learn.org/stable/ https://github.com/cigrainger https://erlef.org/slack-invite/erlef https://bsky.app/profile/cigrainger.bsky.social https://github.com/cigrainger

"You can delete your Lightning transactions.So unlike a blockchain, a blockchain's an append-only database and every transaction that gets stored in a blockchain is stored there forever. Lightning transactions don't go on a blockchain. Where do they go? A SQL database. And what's great about SQL databases are they're not append only. They have a delete function.So you can turn off your Lightning node, open up its database in any SQL editor, and say, select all, delete. And you've deleted your transaction history.Which is a wonderful privacy tool. Can't do that on a blockchain."~ Super Testnet In this episode, I sit down with the enigmatic Super Testnet, a trailblazer in the Bitcoin space known for his relentless pursuit of innovation and privacy. How can we achieve true privacy in a world where every transaction leaves a digital footprint? Super Testnet challenges us to rethink our assumptions about privacy and security, revealing how Lightning Network's unique features might offer solutions we never thought possible. If Lightning can enable scalable transactions with even better privacy than can be achieved on a blockchain, what does that mean for the future of privacy coins like Monero? Super Testnet also shares his insights on the broader implications of Bitcoin adoption, from empowering individuals to reshaping global economic structures. Could Bitcoin mining on landfills become the unexpected cornerstone of a new financial paradigm? And what happens when sovereign tools scale to billions? This conversation is not just about technology - it's about the fundamental shift in how we think about money, privacy, and freedom. Tune in to explore the fascinating intersection of innovation and ideology with one of Bitcoin's most original thinkers. Check out our awesome sponsors! Ledn: Need fiat but don't want to sell your Bitcoin? Ledn offers secure, Bitcoin-backed loans with no credit checks, flexible repayment, and fast turnaround—often within 24 hours. With $10B+ in loans across 100+ countries and transparent Proof of Reserves, Ledn is a trusted option for unlocking liquidity without giving up your Bitcoin. (Link: https://learn.ledn.io/audible) HRF: The Human Rights Foundation is a nonpartisan, nonprofit organization that promotes and protects human rights globally, with a focus on closed societies. Subscribe to HRF's Financial Freedom Newsletter today. (Link: https://mailchi.mp/hrf.org/financial-freedom-newsletter) OFF: The Oslo Freedom Forum is a global human rights event by the Human Rights Foundation (HRF), uniting voices from activism, journalism, tech, and beyond. Through powerful stories and collaboration, OFF advances freedom and human potential worldwide. Join us next June. (Link: https://oslofreedomforum.com/) Pubky: Pubky is building the next web, a decentralized system designed to put control back in your hands. Escape censorship, algorithmic manipulation, and walled gardens by owning your identity and data. Explore the Pubky web and become the algorithm today. Don't forget to find me on my Pubky ID here: pk:5d7thwzkxx5mz6gk1f19wfyykr6nrwzaxri3io7ahejg1z74qngo. (Link: https://pubky.org) Chroma: Chroma is dedicated to advancing human performance and well-being through cutting-edge light therapy devices and performance eyewear. Their mission is to enhance physical and mental health, unlocking peak human health, cognitive function, and physical performance. Get 10% off your order with the code BITCOINAUDIBLE. (Link: https://getchroma.co...

This week on The Data Stack Show, John chats with Paul Blankley, Founder and CTO of Zenlytic, live from Denver! Paul and John discuss the rapid evolution of AI in business intelligence, highlighting how AI is transforming data analysis and decision-making. Paul also explores the potential of AI as an "employee" that can handle complex analytical tasks, from unstructured data processing to proactive monitoring. Key insights include the increasing capabilities of AI in symbolic tasks like coding, the importance of providing business context to AI models, and the future of BI tools that can flexibly interact with both structured and unstructured data. Paul emphasizes that the next generation of AI tools will move beyond traditional dashboards, offering more intelligent, context-aware insights that can help businesses make more informed decisions. It's an exciting conversation you won't want to miss.Highlights from this week's conversation include:Welcoming Paul Back and Industry Changes (1:03)AI Model Progress and Superhuman Domains (2:01)AI as an Employee: Context and Capabilities (4:04)Model Selection and User Experience (7:37)AI as a McKinsey Consultant: Decision-Making (10:18)Structured vs. Unstructured Data Platforms (12:55)MCP Servers and the Future of BI Interfaces (16:00)Value of UI and Multimodal BI Experiences (18:38)Pitfalls of DIY Data Pipelines and Governance (22:14)Text-to-SQL, Semantic Layers, and Trust (28:10)Democratizing Semantic Models and Personalization (33:22)Inefficiency in Analytics and Analyst Workflows (35:07)Reasoning and Intelligence in Monitoring (37:20)Roadmap: Proactive AI by 2026 (39:53)Limitations of BI Incumbents, Future Outlooks and Parting Thoughts (41:15)The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

This is episode 299 recorded on July 21st, 2025, where John & Jason talk the Microsoft Power BI July 2025 Feature Summary including expanded data sharing with Microsoft 365, Copilot updates, field parameters goes GA, Organizational Themes, and more. For show notes please visit www.bifocal.show

In this special episode, guest host Brian Kennedy sits down with Chris Gaffney to explore how supply chain professionals can take control of their careers by embracing artificial intelligence. Chris introduces the “AI Maturity Ladder,” a step-by-step roadmap that helps individuals and teams evolve from foundational tools like Excel to advanced capabilities like predictive analytics, machine learning, and AI agents.The conversation covers:The evolution of AI in supply chain rolesPractical skills to stay relevant in a data-driven marketHow tools like Python, SQL, and Power BI tie into career growthWhy applied analytics beats theoretical knowledge in today's job marketStrategies for leaders to upskill their teams and create a culture of innovationWhether you're a student, mid-career professional, or supply chain leader, this episode offers clear, actionable guidance for climbing the AI ladder and ensuring you're leading change instead of reacting to it.

Product managers for BI platforms have it easy. They "just" need to have the dev team build a tool that gives all types of users access to all of the data they should be allowed to see in a way that is quick, simple, and clear while preventing them from pulling data that can be misinterpreted. Of course, there are a lot of different types of users—from the C-level executive who wants ready access to high-level metrics all the way to the analyst or data scientist who wants to drop into a SQL flow state to everyone in between. And sometimes the tool needs to provide structured dashboards, while at other times it needs to be a mechanism for ad hoc analysis. Maybe the product manager's job is actually…impossible? Past Looker CAO and current Omni CEO Colin Zima joined this episode for a lively discussion on the subject! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

Back in 2010, Tableau beat smarter tools with a better demo. No brain, all charm and the market loved it. Fast-forward to now: same playbook, new costume. The AI dashboard crowd is selling “natural language BI” with zero semantic model, zero memory, and a whole lot of LinkedIn swagger. In this episode, Rob and Justin revisit why Tableau's empty-calorie approach won the first round, and how that same mistake is about to flood the AI + BI space all over again. Turns out, you can still sell snake oil if you call it GenAI. Rob breaks down how an elite MIT course managed to skip LLMs entirely, how a flashy Tableau blog post went viral for connecting a CSV, and why “AI-ready” vendors keep duct-taping chat interfaces onto raw SQL and hoping no one looks under the hood. But the real story? Microsoft is sitting on the most powerful data brain in the game, and if they land the front end, it's game over. This isn't just a history lesson. It's a blueprint for seeing through the hype and betting on what actually works. If you're building, buying, or betting on AI tools, listen in before you get dazzled by the demo. Also on this episode: Early Experiments in Tableau's New MCP Service

Nikolay and Michael are joined by Andrew Johnson and Nate Brennand from Metronome to discuss MultiXact member space exhaustion — what it is, how they managed to hit it, and some tips to prevent running into it at scale. Here are some links to things they mentioned:Nate Brennand https://postgres.fm/people/nate-brennandAndrew Johnson https://postgres.fm/people/andrew-johnsonMetronome https://metronome.comRoot Cause Analysis: PostgreSQL MultiXact member exhaustion incidents (blog post by Metronome) https://metronome.com/blog/root-cause-analysis-postgresql-multixact-member-exhaustion-incidents-may-2025Multixacts and Wraparound (docs) https://www.postgresql.org/docs/current/routine-vacuuming.html#VACUUM-FOR-MULTIXACT-WRAPAROUNDmultixact.c source code https://github.com/postgres/postgres/blob/master/src/backend/access/transam/multixact.cAdd pg_stat_multixact view for multixact membership usage monitoring (patch proposal by Andrew, needing review!) https://commitfest.postgresql.org/patch/5869/PostgreSQL subtransactions considered harmful (blog post by Nikolay) https://postgres.ai/blog/20210831-postgresql-subtransactions-considered-harmfulvacuum_multixact_failsafe_age doesn't account for MultiXact member exhaustion (thread started by Peter Geoghegan) https://www.postgresql.org/message-id/flat/CAH2-WzmLPWJk3gbAxy8dHY%2BA-Juz_6uGwfe6DkE8B5-dTDvLcw%40mail.gmail.comAmazon S3 Vectors https://aws.amazon.com/blogs/aws/introducing-amazon-s3-vectors-first-cloud-storage-with-native-vector-support-at-scale/MultiXacts in PostgreSQL: usage, side effects, and monitoring (blog post by Shawn McCoy and Divya Sharma from AWS) https://aws.amazon.com/blogs/database/multixacts-in-postgresql-usage-side-effects-and-monitoring/Postgres Aurora multixact monitoring queries https://gist.github.com/natebrennand/0924f723ff61fa897c4106379fc7f3dc And finally an apology and a correction, the membership space is ~4B, not ~2B as said by Michael in the episode! Definition here:https://github.com/postgres/postgres/blob/f6ffbeda00e08c4c8ac8cf72173f84157491bfde/src/include/access/multixact.h#L31And here's the formula discussed for calculating how the member space can grow quadratically by the number of overlapping transactions:Members can be calculated via: aₙ = 2 + [sum from k=3 to n+1 of k]This simplifies to: aₙ = (((n+1)(n+2))/2) - 1~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith special thanks to:Jessie Draws for the elephant artwork 

This week on The Data Stack Show, Eric and welcomes back Ruben Burdin, Founder and CEO of Stacksync as they together dismantle the myths surrounding zero-copy ETL and traditional data integration methods. Ruben reveals the complex challenges of two-way syncing between enterprise systems like Salesforce, HubSpot, and NetSuite, highlighting how existing tools often create more problems than solutions. He also introduces Stacksync's innovative approach, which uses real-time SQL-based synchronization to simplify data integration, reduce maintenance overhead, and enable more efficient operational workflows. The conversation exposes the limitations of current data transfer techniques and offers a glimpse into a more declarative, flexible approach to managing enterprise data across multiple systems. You won't want to miss it.Highlights from this week's conversation include:The Pain of Two-Way Sync and Early Integration Challenges (2:01)Zero Copy ETL: Hype vs. Reality (3:50)Data Definitions and System Complexity (7:39)Limitations of Out-of-the-Box Integrations (9:35)The CSV File: The Original Two-Way Sync (11:18)Stacksync's Approach and Capabilities (12:21)Zero Copy ETL: Technical and Business Barriers (14:22)Data Sharing, Clean Rooms, and Marketing Myths (18:40)The Reliable Loop: ETL, Transform, Reverse ETL (27:08)Business Logic Fragmentation and Maintenance (33:43)Simplifying Architecture with Real-Time Two-Way Sync (35:14)Operational Use Case: HubSpot, Salesforce, and Snowflake (39:10)Filtering, Triggers, and Real-Time Workflows (45:38)Complex Use Case: Salesforce to NetSuite with Data Discrepancies (48:56)Declarative Logic and Debugging with SQL (54:54)Connecting with Ruben and Parting Thoughts (57:58)The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Madison Schott joins me to chat about about her journey from working as an analytics engineer to creating content about dbt, SQL, data modeling, and more.

In this episode of Building Better Developers with AI, Rob Broadhead and Michael Meloche revisit a popular question: What Happens When Software Fails? Originally titled When Coffee Hits the Fan: Developer Disaster Recovery, this AI-enhanced breakdown explores real-world developer mistakes, recovery strategies, and the tools that help turn chaos into control. Whether you're managing your first deployment or juggling enterprise infrastructure, you'll leave this episode better equipped for the moment when software fails. When Software Fails and Everything Goes Down The podcast kicks off with a dramatic (but realistic) scenario: CI passes, coffee is in hand, and then production crashes. While that might sound extreme, it's a situation many developers recognize. Rob and Michael cover some familiar culprits: Dropping a production database Misconfigured cloud infrastructure costing hundreds overnight Accidentally publishing secret keys Over-provisioned “default” environments meant for enterprise use Takeaway: Software will fail. Being prepared is the difference between a disaster and a quick fix. Why Software Fails: Avoiding Costly Dev Mistakes Michael shares an all-too-common situation: connecting to the wrong environment and running production-breaking SQL. The issue wasn't the code—it was the context. Here are some best practices to avoid accidental failure: Color-code terminal environments (green for dev, red for prod) Disable auto-commit in production databases Always preview changes with a SELECT before running DELETE or UPDATE Back up databases or individual tables before making changes These simple habits can save hours—or days—of cleanup. How to Recover When Software Fails Rob and Michael outline a reliable recovery framework that works in any team or tech stack: Monitoring and alerts: Tools like Datadog, Prometheus, and Sentry help detect issues early Rollback plans: Scripts, snapshots, and container rebuilds should be ready to go Runbooks: Documented recovery steps prevent chaos during outages Postmortems: Blameless reviews help teams learn and improve Clear communication: Everyone on the team should know who's doing what during a crisis Pro Tip: Practice disaster scenarios ahead of time. Simulations help ensure you're truly ready. Essential Tools for Recovery Tools can make or break your ability to respond quickly when software fails. Rob and Michael recommend: Docker & Docker Compose for replicable environments Terraform & Ansible for consistent infrastructure GitHub Actions, GitLab CI, Jenkins for automated testing and deployment Chaos Engineering tools like Gremlin and Chaos Monkey Snapshot and backup automation to enable fast data restoration Michael emphasizes: containers are the fastest way to spin up clean environments, test recovery steps, and isolate issues safely. Mindset Matters: Staying Calm When Software Fails Technical preparation is critical—but so is mindset. Rob notes that no one makes smart decisions in panic mode. Having a calm, repeatable process in place reduces pressure when systems go down. Cultural and team-based practices: Use blameless postmortems to normalize failure Avoid root access in production whenever possible Share mistakes in standups so others can learn Make local environments mirror production using containers Reminder: Recovery is a skill—one you should build just like any feature. Think you're ready for a failure scenario? Prove it. This week, simulate a software failure in your development environment: Turn off a service your app depends on Delete (then restore) a local database from backup Use Docker to rebuild your environment from scratch Trigger a mock alert in your monitoring tool Then answer these questions: How fast can you recover? What broke that you didn't expect? What would you do differently in production? Recovery isn't just theory—it's a skill you build through practice. Start now, while the stakes are low. Final Thought Software fails. That's a reality of modern development. But with the right tools, smart workflows, and a calm, prepared team, you can recover quickly—and even improve your system in the process. Learn from failure. Build with resilience. And next time something breaks, you'll know exactly what to do. Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources System Backups – Prepare for the Worst Using Dropbox To Provide A File Store and Reliable Backup Testing Your Backups – Disaster Recovery Requires Verification Virtual Systems On A Budget – Realistic Cloud Pricing Building Better Developers With AI Podcast Videos – With Bonus Content

This is episode 298 recorded on July 9th, 2025, where John & Jason talk the Microsoft Fabric June 2025 Feature Summary including lots of Notebook updates in Data Engineering, lower cost for AI functions in Data Science, Copilot for RTI dashboards, and more. For show notes please visit www.bifocal.show

SSH Tunneling in Action: direct-tcp requests Attackers are compromising ssh servers to abuse them as relays. The attacker will configure port forwarding direct-tcp connections to forward traffic to a victim. In this particular case, the Yandex mail server was the primary victim of these attacks. https://isc.sans.edu/diary/SSH%20Tunneling%20in%20Action%3A%20direct-tcp%20requests%20%5BGuest%20Diary%5D/32094 Fortiguard FortiWeb Unauthenticated SQL injection in GUI (CVE-2025-25257) An improper neutralization of special elements used in an SQL command ('SQL Injection') vulnerability [CWE-89] in FortiWeb may allow an unauthenticated attacker to execute unauthorized SQL code or commands via crafted HTTP or HTTPs requests. https://www.fortiguard.com/psirt/FG-IR-25-151 Ruckus Virtual SmartZone (vSZ) and Ruckus Network Director (RND) contain multiple vulnerabilities Ruckus products suffer from a number of critical vulnerabilities. There is no patch available, and users are advised to restrict access to the vulnerable admin interface. https://kb.cert.org/vuls/id/613753

Nikolay and Michael are joined by Sugu Sougoumarane to discuss Multigres — a project he's joined Supabase to lead, building an adaptation of Vitess for Postgres! Here are some links to things they mentioned:Sugu Sougoumarane https://postgres.fm/people/sugu-sougoumaraneSupabase https://supabase.comAnnouncing Multigres https://supabase.com/blog/multigres-vitess-for-postgresVitess https://github.com/vitessio/vitessSPQR https://github.com/pg-sharding/spqrCitus https://github.com/citusdata/citusPgDog https://github.com/pgdogdev/pgdogMyths and Truths about Synchronous Replication in PostgreSQL (talk by Alexander Kukushkin) https://www.youtube.com/watch?v=PFn9qRGzTMcConsensus algorithms at scale (8 part series by Sugu) https://planetscale.com/blog/consensus-algorithms-at-scale-part-1A More Flexible Paxos (blog post by Sugu) https://www.sougou.io/a-more-flexible-paxoslibpg_query https://github.com/pganalyze/libpg_queryPL/Proxy https://github.com/plproxy/plproxyPlanetScale Postgres Benchmarking https://planetscale.com/blog/benchmarking-postgresMultiXact member exhaustion incidents (blog post by Cosmo Wolfe / Metronome) https://metronome.com/blog/root-cause-analysis-postgresql-multixact-member-exhaustion-incidents-may-2025~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith special thanks to:Jessie Draws for the elephant artwork 

This week on The Data Stack Show, Eric and John welcome back Matt Kelliher-Gibson for another edition of the Cynical Data Guy. The group explores the current state of data engineering and team dynamics while critically examining the evolving landscape of analytics engineering, dissecting the hype around the modern data stack and its tools. The conversation also explores the challenges of data team management, including headcount reductions, rising technology costs, and the struggle to maintain efficiency. Key discussions revolve around the need for open standards, the impact of AI on data roles, the complex hiring practices in tech startups, and so much more.  Highlights from this week's conversation include:The Evolution of Analytics Engineer Roles (1:53)Job Titles and Role Consolidation in Data (3:20)Standardization and Open Data Standards (7:51)SQL as a Universal Standard & Vendor Lock-In (11:58)Modern Data Stack: Hype vs. Reality (13:29)The State of Data Teams in 2025 (18:12)Morale and Job Market Realities for Data Professionals (25:17)Bonus Round: Extreme Work Culture Satire (28:41)Honesty in Hiring and Team Building (33:18)Challenges of Building and Leading Data Teams (37:31)Final Thoughts and Takeaways (41:15)The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com. 

Appsec still deals with ancient vulns like SQL injection and XSS. And now LLMs are generating code along side humans. Sandy Carielli and Janet Worthington join us once again to discuss what all this new code means for appsec practices. On a positive note, the prevalence of those ancient vulns seems to be diminishing, but the rising use of LLMs is expanding a new (but not very different) attack surface. We look at where orgs are investing in appsec, who appsec teams are collaborating with, and whether we need security awareness training for LLMs. Resources: https://www.forrester.com/blogs/application-security-2025-yes-ai-just-made-it-harder-to-do-this-right/ Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-338

This is episode 297 recorded on July 4th, 2025, where John & Jason talk the Microsoft Fabric June 2025 Feature Summary including updates to Visual Calcs, Sparklines are now GA (after 4 years), Azure Maps breaking changes, Org Apps updates & revelations, and Power Query editing of Import models in the web.

Appsec still deals with ancient vulns like SQL injection and XSS. And now LLMs are generating code along side humans. Sandy Carielli and Janet Worthington join us once again to discuss what all this new code means for appsec practices. On a positive note, the prevalence of those ancient vulns seems to be diminishing, but the rising use of LLMs is expanding a new (but not very different) attack surface. We look at where orgs are investing in appsec, who appsec teams are collaborating with, and whether we need security awareness training for LLMs. Resources: https://www.forrester.com/blogs/application-security-2025-yes-ai-just-made-it-harder-to-do-this-right/ Show Notes: https://securityweekly.com/asw-338

Appsec still deals with ancient vulns like SQL injection and XSS. And now LLMs are generating code along side humans. Sandy Carielli and Janet Worthington join us once again to discuss what all this new code means for appsec practices. On a positive note, the prevalence of those ancient vulns seems to be diminishing, but the rising use of LLMs is expanding a new (but not very different) attack surface. We look at where orgs are investing in appsec, who appsec teams are collaborating with, and whether we need security awareness training for LLMs. Resources: https://www.forrester.com/blogs/application-security-2025-yes-ai-just-made-it-harder-to-do-this-right/ Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-338

This show has been flagged as Explicit by the host. New hosts There were no new hosts this month. Last Month's Shows Id Day Date Title Host 4391 Mon 2025-06-02 HPR Community News for May 2025 HPR Volunteers 4392 Tue 2025-06-03 The Water is Wide, and the sheet music should be too Jezra 4393 Wed 2025-06-04 Journal like you mean it. Some Guy On The Internet 4394 Thu 2025-06-05 Digital Steganography Intro mightbemike 4395 Fri 2025-06-06 Second Life Lee 4396 Mon 2025-06-09 AI and Sangria operat0r 4397 Tue 2025-06-10 Transfer files from desktop to phone with qrcp Klaatu 4398 Wed 2025-06-11 Command line fun: downloading a podcast Kevie 4399 Thu 2025-06-12 gpg-gen-key oxo 4400 Fri 2025-06-13 Isaac Asimov: Other Asimov Novels of Interest Ahuka 4401 Mon 2025-06-16 hajime oxo 4402 Tue 2025-06-17 pinetab2 Brian in Ohio 4403 Wed 2025-06-18 How to get your very own copy of the HPR database norrist 4404 Thu 2025-06-19 Kevie nerd snipes Ken by grepping xml Ken Fallon 4405 Fri 2025-06-20 What did I do at work today? Lee 4406 Mon 2025-06-23 SVG Files: Cyber Threat Hidden in Images ko3moc 4407 Tue 2025-06-24 A 're-response' Bash script Dave Morriss 4408 Wed 2025-06-25 Lynx - Old School Browsing Kevie 4409 Thu 2025-06-26 H D R Ridiculous Monitor operat0r 4410 Fri 2025-06-27 Civilization V Ahuka 4411 Mon 2025-06-30 The Pachli project thelovebug Comments this month These are comments which have been made during the past month, either to shows released during the month or to past shows. There are 29 comments in total. Past shows There are 4 comments on 3 previous shows: hpr4375 (2025-05-09) "Long Chain Carbons,Eggs and Dorodango?" by operat0r. Comment 4: Torin Doyle on 2025-06-06: "Reply to @Bob" hpr4378 (2025-05-14) "SQL to get the next_free_slot" by norrist. Comment 1: Torin Doyle on 2025-06-12: "Cheers for this." hpr4388 (2025-05-28) "BSD Overview" by norrist. Comment 4: Henrik Hemrin on 2025-06-02: "Learned more about BSD." Comment 5: norrist on 2025-06-02: "Additional info for OpenBSD Router" This month's shows There are 25 comments on 10 of this month's shows: hpr4391 (2025-06-02) "HPR Community News for May 2025" by HPR Volunteers. Comment 1: Torin Doyle on 2025-06-06: "Very disappointed."Comment 2: Ken Fallon on 2025-06-06: "Thanks for your feedback."Comment 3: Torin Doyle on 2025-06-09: "Reply to Ken [Comment 2]"Comment 4: norrist on 2025-06-09: "Watch the Queue for a show about how to find all the comments"Comment 5: Torin Doyle on 2025-06-10: "Comment #3 typo."Comment 6: Torin Doyle on 2025-06-11: "Reply to Comment #4 by norrist"Comment 7: Torin Doyle on 2025-06-11: "Got the link." hpr4394 (2025-06-05) "Digital Steganography Intro" by mightbemike. Comment 1: Henrik Hemrin on 2025-06-05: "Fascinating topic"Comment 2: oxo on 2025-06-05: "Good show! " hpr4395 (2025-06-06) "Second Life" by Lee. Comment 1: Antoine on 2025-06-08: "Brings philosophical thoughts" hpr4397 (2025-06-10) "Transfer files from desktop to phone with qrcp" by Klaatu. Comment 1: Laindir on 2025-06-18: "The perfect kind of recommendation" hpr4398 (2025-06-11) "Command line fun: downloading a podcast" by Kevie. Comment 1: Henrik Hemrin on 2025-06-11: "Tempted to have fun"Comment 2: Ken Fallon on 2025-06-22: "Personal message to redhat (nprfan)" hpr4403 (2025-06-18) "How to get your very own copy of the HPR database" by norrist. Comment 1: Torin Doyle on 2025-06-18: "Appreciated!"Comment 2: Torin Doyle on 2025-06-18: "Database size."Comment 3: norrist on 2025-06-18: "Also an SQLite version"Comment 4: Torin Doyle on 2025-06-25: "Not able to use database to find my comments." hpr4404 (2025-06-19) "Kevie nerd snipes Ken by grepping xml" by Ken Fallon. Comment 1: Henrik Hemrin on 2025-06-22: "More to digest"Comment 2: Alec Bickerton on 2025-06-29: "Shorter version"Comment 3: Alec Bickerton on 2025-06-29: "Shorter version"Comment 4: Alec Bickerton on 2025-06-29: "XML parsing without xmlstarlet" hpr4405 (2025-06-20) "What did I do at work today?" by Lee. Comment 1: Dave Morriss on 2025-06-25: "Thanks for bringing us along..." hpr4406 (2025-06-23) "SVG Files: Cyber Threat Hidden in Images" by ko3moc. Comment 1: oxo on 2025-06-23: "Interesting! "Comment 2: ko3moc on 2025-06-24: "response " hpr4408 (2025-06-25) "Lynx - Old School Browsing" by Kevie. Comment 1: Henrik Hemrin on 2025-06-29: "Review ALT texts" Mailing List discussions Policy decisions surrounding HPR are taken by the community as a whole. This discussion takes place on the Mailing List which is open to all HPR listeners and contributors. The discussions are open and available on the HPR server under Mailman. The threaded discussions this month can be found here: https://lists.hackerpublicradio.com/pipermail/hpr/2025-June/thread.html Events Calendar With the kind permission of LWN.net we are linking to The LWN.net Community Calendar. Quoting the site: This is the LWN.net community event calendar, where we track events of interest to people using and developing Linux and free software. Clicking on individual events will take you to the appropriate web page. Provide feedback on this episode.

In this episode of the Biz To Biz Podcast, we dive into the future of business intelligence with Sarah Kabakoff, CEO of Genetica, and a driving force behind intelligent automation in modern industries.With a deep background leading revenue and product strategy at AI-driven SaaS startups, Sarah and her team have spent the last decade transforming operations in restaurants, retail, and regulated markets through cutting-edge technology.At Genetica, Sarah is leading the charge on ServeAI, a data intelligence platform that merges enriched SQL layers, LLM-powered agents, and real-time business logic. The result? A revolutionary tool that eliminates the need for static dashboards, analysts, or complex BI systems.Follow Us On These Social Media Platforms

There have been lots of social media posts declaring things to be dead - SQL, R, data engineering, BI, etc.I give my thoughts on these proclamations, why it's a wrong way to think about our space, and more.

Welcome to episode 308 of The Cloud Pod – where the forecast is always cloudy! Justin and Matt are on hand and ready to bring you an action packed episode. Unfortunately, this one is also lullaby free. Apologies. This week we're talking about Databricks and Lakebridge, Cedar Analysis, Amazon Q, Google's little hiccup, and updates to SQL – plus so much more! Thanks for joining us.  Titles we almost went with this week: KV Phone Home: When Your Key-Value Store Goes AWOL When Your Coreless Service Finds Its Core Problem Oracle’s Vanity Fair: Pretty URLs for Pretty Penny From Warehouse to Lakehouse: Your Free Ticket to Cloud Town 1⃣Databricks Uno: Because One is the Loneliest Number Free as in Beer, Smart as in Data Science Cedar Analysis: Because Your Authorization Policies Wood Never Lie Cedar Analysis: Teaching Old Policies New Proofs Amazon Q Finally Learns to Talk to Other Apps Tomorrow: Visual Studio’s Predictive Edit Revolution The Ghost of Edits Future: AI Haunts Your Code Before You Write It IAM What IAM: Google’s Identity Crisis Breaks the Internet Permission Denied: The Day Google Forgot Who Everyone Was 403 Forbidden: When Google’s Bouncer Called in Sick AWS Brings the Heat to Fusion Research Larry’s Cloud Nine: Oracle Stock Soars on Forecast Raise OCI You Later: Oracle Bets Big on Cloud Growth Oracle’s Crystal Ball Shows 40% Cloud Growth Ahead Meta Scales Up Its AI Ambitions with $14 Billion Investment From FAIR to Scale: Meta’s $14 Billion AI Makeover Congratulations Databricks one, you are now the new low code solution.  AWS burns power to figure out how power works AI Is Going Great – Or How ML Makes Money  02:12 Zuckerberg makes Meta’s biggest bet on AI, $14 billion Scale AI deal Meta is finalizing a $14 billion investment for a 49% stake in Scale AI, with CEO Alexandr Wang joining to lead a new AI research lab at Meta.  This follows similar moves by Google and Microsoft acquiring AI talent through investments rather than direct acquisitions to avoid regulatory scrutiny. Scale AI specializes in data labeling and annotation services critical for training AI models, serving major clients including OpenAI, Google, Microsoft, and Meta.  The company’s expertise covers approximately 70% of all AI models being built, providing Meta with valuable intelligence on competitor approaches to model development. The deal reflects Meta’s struggles with its Llama AI models, particularly the underwhelming reception of Llama 4 and delays in releasing the more powerful “Behemoth” model due to concerns about competitiveness with OpenAI and

Nikolay and Michael are joined by Gwen Shapira to discuss multi-tenant architectures — the high level options, the pros and cons of each, and how they're trying to help with Nile. Here are some links to things they mentioned:Gwen Shapira https://postgres.fm/people/gwen-shapiraNile https://www.thenile.devSaaS Tenant Isolation Strategies (AWS whitepaper) https://docs.aws.amazon.com/whitepapers/latest/saas-tenant-isolation-strategies/saas-tenant-isolation-strategies.html Row Level Security https://www.postgresql.org/docs/current/ddl-rowsecurity.htmlCitus https://github.com/citusdata/citusPostgres.AI Bot https://postgres.ai/blog/20240127-postgres-ai-bot RLS Performance and Best Practices https://supabase.com/docs/guides/troubleshooting/rls-performance-and-best-practices-Z5JjwvCase Gwen mentioned about the planner thinking an optimisation was unsafe Re-engineering Postgres for Millions of Tenants (Gwen's recent talk at PGConf.dev) https://www.youtube.com/watch?v=EfAStGb4s88 Multi-tenant database the good, the bad, the ugly (talk by Pierre Ducroquet at PgDay Paris) https://www.youtube.com/watch?v=4uxuPfSvTGU ~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith special thanks to:Jessie Draws for the elephant artwork 

In today's episode, James Maude chats with Robin Wood—better known as “DigiNinja”—the creator of DVWA and co-founder of SteelCon. Robin shares wild stories from his hacking career, including an infamous SQL injection that accidentally overwrote every customer's credit card info on a gambling site, how he took down entire client networks with just two packets, and the origins of the UK's most eccentric security conference, SteelCon—featuring 450 stuffed whippets and full-on Nerf gun warfare.

In this episode, Dave and Jamison answer these questions: A listener named Mike says, To what degree do you think it's appropriate to talk with your peer managers about people that have moved from their team to yours? How much weight do you give their criticisms of an IC that they used to manage that is working out just fine under your leadership? How do you know if it was mostly due to a conflict in their relationship, or if there's a nugget of truth you need to look out for? Hi, thanks for a great show. I've listened to 400 episodes in a year - thanks for making my commute fun! I've been at my current job as a software developer for a year. It's a great company overall, but we rely on a 30-year-old in-house ticket system that also doubles as a time reporting tool. It lacks many basic features, and project managers often resort to SQL and Excel just to get an overview. As you can imagine, things get forgotten and lost easily. Everyone dislikes it, but the old-timers are used to it. They want any replacement to be cheap and also handle time reporting, which really limits our options. I suggested to keep using the old system for time reporting only for now, but the reaction made me feel like I'd suggested going back to pen and paper. While the company is old and set in its ways in some areas, it has made big changes in others, so I'm not ready to give up hope just yet. How can I at least nudge the company toward adopting a more modern ticket system to improve visibility and planning? I've shown examples that save time and offer better overviews, but it hasn't made much impact. Where should I focus my efforts—or do I just have to learn to live with it? Some more context: This is in Europe and the culture at the company is generally open to feedback and discussions from anyone. I have 10+ years experience and a relatively good influence. My manager is driving change successfully to make the company more modern but I suspect he might have given up on this one.

OctoSQL & Vulnerability Data OctoSQL is a neat tool to query files in different formats using SQL. This can, for example, be used to query the JSON vulnerability files from CISA or NVD and create interesting joins between different files. https://isc.sans.edu/diary/OctoSQL+Vulnerability+Data/32026 Mirai vs. Wazuh The Mirai botnet has now been observed exploiting a vulnerability in the open-source EDR tool Wazuh. https://www.akamai.com/blog/security-research/botnets-flaw-mirai-spreads-through-wazuh-vulnerability DNS4EU The European Union created its own public recursive resolver to offer a public resolver compliant with European privacy laws. This resolver is currently operated by ENISA, but the intent is to have a commercial entity operate and support it by a commercial entity. https://www.joindns4.eu/ WordPress FAIR Package Manager Recent legal issues around different WordPress-related entities have made it more difficult to maintain diverse sources of WordPress plugins. With WordPress plugins usually being responsible for many of the security issues, the Linux Foundation has come forward to support the FAIR Package Manager, a tool intended to simplify the management of WordPress packages. https://github.com/fairpm