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Show highlights include: 00:00 – Intro01:10 – Insights vs. Actionable Insights05:28 – Understanding Social CRM & Platform Integration09:31 – Building a Unified, Holistic Client View12:54 – Social Listening, Keyword Tracking & Prospecting15:08 – Hyper-Personalized Outreach That Converts18:31 – Automation, Intake Forms & Scaling Engagement20:37 – CRM as the Engine of Your BusinessBrian and Sue make one thing clear: the firms winning today are the ones treating CRM as the engine of the business - the place where data, insights, and action come together.Learn more about our companies and resources:-Elite Consulting Partners | Financial Advisor Transitions: https://eliteconsultingpartners.com-Elite Marketing Concepts | Marketing Services for Financial Advisors: https://elitemarketingconcepts.com-Elite Advisor Successions | Advisor Mergers and Acquisitions: https://eliteadvisorsuccessions.com-JEDI Database Solutions | Technology Solutions for Advisors: https://jedidatabasesolutions.com Listen to more Advisor Talk episodes: https://eliteconsultingpartners.com/podcasts/
For memberships: join this channel as a member here:https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinSummary:In this episode, host Kaivalya Apte interviews Ankit Sultana, a staff engineer at Uber with extensive experience in Apache Pinot, a real-time analytics platform. They discuss the high-level architecture, ingestion processes, and query mechanisms of Apache Pinot. Ankit provides a historical context, detailing the evolution of Apache Pinot from its origins at LinkedIn to its widespread adoption. They discuss the key components of Pinot, explaining the roles of Pinot servers, brokers, controllers, and the dependency on Zookeeper. Ankit also explained how data flows into Apache Pinot and the technicalities of its real-time ingestion and querying capabilities. Chapters:00:00 Introduction and Episode Overview03:30 Understanding Apache Pinot03:49 Apache Pinot's Historical Background05:20 Real-Time Analytics with Apache Pinot11:06 Apache Pinot's Architecture and Components17:05 Tenancy and Data Ingestion in Apache Pinot30:22 Understanding Real-Time Replication and Consumer Groups30:52 Pinot's Offset Tracking and Segment Creation31:59 Handling Server Restarts and Segment Transitions32:50 Dealing with Kafka Duplicates and Deduplication Features35:13 Ingestion Process and Mutable vs Immutable Segments39:18 Memory Management and Segment Flushing40:10 Advantages of Keeping Mutable Segments Longer42:21 Introduction to Pinot's Query Engines42:50 Single Stage Engine: Architecture and Optimizations54:49 Multi-Stage Engine: Flexibility and Challenges58:13 Conclusion and Next StepsImportant Links:* Good high-level overview on Pinot: https://www.youtube.com/watch?v=F8Q_pGIH9yY* Apache Pinot 101 by Tim: https://www.youtube.com/playlist?list=PLihIrF0tCXdfN6y-twj9KtWaXM1GH4RSe* Multistage Physical Optimizer, the new optimizer that we built at Uber and open-sourced: https://docs.pinot.apache.org/users/user-guide-query/multi-stage-query/physical-optimizer* Multistage Lite Mode: https://docs.pinot.apache.org/users/user-guide-query/multi-stage-query/multistage-lite-mode* Time Series Engine Talk at RTA Summit: https://www.youtube.com/watch?v=kgseiambgesFor 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!
For memberships: join this channel as a member here:https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinSummary:In this captivating episode, we sit down with Joran Dirk Greef, the mastermind behind Tiger Beetle, a groundbreaking financial transactions database. Joran shares his journey of innovation, highlighting the challenges and triumphs of creating a system that is not only faster but also safer. Dive into the philosophy of Tiger Style, a unique methodology that emphasizes quality and performance, ensuring that software development is both efficient and effective. Joran's insights into trust, discipline, and the relentless pursuit of excellence offer valuable lessons for anyone in the tech industry. Whether you're a developer, entrepreneur, or tech enthusiast, this episode is packed with inspiration and practical wisdom. Don't miss out on this opportunity to learn from one of the leading minds in software engineering.Chapters:00:01:37 Introduction to Tiger Beetle 00:02:27 Philosophy of Tiger Style 00:03:38 Challenges in Software Development00:04:43 Importance of Trust and Quality 00:09:43 Static Allocation in Software 00:16:53 AI in Software Development 00:23:53 Business Philosophy and Innovation 00:31:53 The Future of Software DevelopmentFor 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!
For memberships: join this channel as a member here:https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinExploring Cloud Databases, Scalability, and Simple Engineering with Sam Lambert, CEO of PlanetScaleIn this episode of The Geek Narrator podcast, we welcome Sam Lambert, CEO and Co-Founder of PlanetScale, known for creating the world's fastest and most scalable cloud database. Sam shares his insights on databases, operational excellence, and simple engineering. We discuss topics such as scalability, Postgres versus MySQL, and replication. Sam also talks about handling complexity in engineering, the unique features of Vites, and how PlanetScale achieves high availability. Don't miss this deep dive into the future of cloud databases. Like, share, and subscribe to support the channel!Chapters:00:00 Introduction and Episode Overview01:13 Meet Sam Lambert: Background and Career02:42 Balancing Work and Social Media05:48 The Philosophy of Simple Engineering14:21 The Slotted Counter Pattern at GitHub18:27 Postgres vs MySQL: Design Flaws and Philosophical Differences28:58 Sharding and Scaling with Vitess37:01 Database Branching and Schema Changes38:50 Common Practices in Startups39:07 Challenges with Data Branching40:45 Legal and Ethical Considerations42:31 Staging Environments vs. Dev Branches45:26 Trade-offs in Cloud Databases52:41 Replication and Durability01:00:02 Ensuring High Availability01:08:04 Backup Strategies and Testing01:10:41 Conclusion and Final ThoughtsLearn about PlanetScale: https://planetscale.com/For 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!
London Tech Talk 名物 Bookclub 第四弾 "Database Internals" 第十四章の振り返り収録です。"Consensus" の内容について振り返りました。ついに全十四章を完走しました!まずは分散システムにおける合意形成の根本的な課題について紹介しました。友人間での日程調整をアナロジーとして、合意形成の困難さや、連絡エラー、返事の遅れ、予定変更、機器故障などの現実的な問題を例に、分散システムの合意形成問題を説明しました。本章の内容について振り返っていきます。まず、合意形成の基盤となる Atomic Broadcast について解説しました。オンライン会議での発言順序をアナロジーとして、「全てのノードが同じ順序でメッセージを受信すること」の重要性について説明しました。Apache Zookeeper で実装されている ZAB(Zookeeper Atomic Broadcast)についても紹介しました。Paxos については、分散合意の理論的基盤となる古典的アルゴリズムとして紹介しました。Lamport 教授による 1998 年の発表以来、多くの後続アルゴリズムに影響を与えた一方で、「理論的には美しいが実装が困難」という特徴について説明しました。Multi-Paxos、Fast-Paxos、Egalitarian Paxos(EPaxos)、Flexible Paxos といった改良版についても触れました。Raft については、「理解しやすく、実装しやすい」ことを明示的な目標として設計された現実的な選択として詳しく解説しました。問題をリーダー選出、ログレプリケーション、安全性に分割するアプローチや、YugabyteDB をはじめとする多くの現代的な分散データベースでの採用理由について説明しました。Raft の命名秘話(reliable, replicated, redundant, fault-tolerant から候補を選定)についても紹介しました。最後に、Byzantine Consensus についても説明しました。その他 Bookclub で盛り上がった各参加者の深掘り内容や、全十四章完走の達成感について触れました。ご意見・ご感想など、お便りはこちらの Google Form で募集しています。
Nik talks Michael through a recent benchmark he worked with Maxim Boguk on, to see how quickly they could provision a replica. Here are some links to things they mentioned:Ultra-fast replica creation with pgBackRest (blog post by Maxim Boguk and Nik) https://postgres.ai/blog/20251105-postgres-marathon-2-012-ultra-fast-replica-creation-pgbackrestCopying a database episode https://postgres.fm/episodes/copying-a-databaseAdd snapshot backup support for PostgreSQL in wal-g (draft PR by Andrey Borodin) https://github.com/wal-g/wal-g/pull/2101Multi-threaded pg_basebackup discussion 1: https://www.postgresql.org/message-id/flat/CAEHH7R4%3D_GN%2BLSsj0YZOXZ13yc%3DGk9umJOLNopjS%3DimK0c1mWA%40mail.gmail.comMulti-threaded pg_basebackup discussion 2: https://www.postgresql.org/message-id/flat/io_method https://www.postgresql.org/docs/current/runtime-config-resource.html#GUC-IO-METHOD pgBackRest https://github.com/pgbackrest/pgbackrestAdd sequence synchronization for logical replication (commit) https://git.postgresql.org/gitweb/?p=postgresql.git;a=commit;h=5509055d6956745532e65ab218e15b99d87d66ce Allow process priority to be set (pgBackRest feature added by David Steele) https://github.com/pgbackrest/pgbackrest/pull/2693 Hard limit on process-max (pgBackRest issue from 2019) https://github.com/pgbackrest/pgbackrest/issues/696 ~~~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
️E690 of The English Like A Native Podcast. This series focuses on increasing your active vocabulary while also improving your listening skills. SUPPORTING MATERIAL Bonus Materials: episodes, transcripts, live classes & vocabulary lists HERE! Five-a-Day Database: All vocabulary covered in the Five-a-Day series. Database regularly updated. English Courses: Pronunciation, A2-C2, Business English available!
The Aussie & Kiwi Film Fest kicks off in Prague tomorrow. A look inside the Brno company that manufactures plaques for Michelin-starred restaurants. A new exhibition in Prague's Planetarium, and a new digital archive of Czech folk songs - Písňovna.
️E689 of The English Like A Native Podcast. This series focuses on increasing your active vocabulary while also improving your listening skills. SUPPORTING MATERIAL Bonus Materials: episodes, transcripts, live classes & vocabulary lists HERE! Five-a-Day Database: All vocabulary covered in the Five-a-Day series. Database regularly updated. English Courses: Pronunciation, A2-C2, Business English available!
The Aussie & Kiwi Film Fest kicks off in Prague tomorrow. A look inside the Brno company that manufactures plaques for Michelin-starred restaurants. A new exhibition in Prague's Planetarium, and a new digital archive of Czech folk songs - Písňovna.
In this episode, Aaron Francis talks with Simon Eskildsen, co-founder and CEO of TurboPuffer, about building a high-performance search engine and database that runs entirely on object storage. They dive deep on Simon's time as an engineer at Shopify, database design trade-offs, and how TurboPuffer powers modern AI workloads like Cursor and Notion.Follow Simon:Twitter: https://twitter.com/SirupsenLinkedIn: https://ca.linkedin.com/in/sirupsenTurbopuffer: https://turbopuffer.comFollow Aaron:Twitter/X: https://twitter.com/aarondfrancis Database School: https://databaseschool.comDatabase School YouTube Channel: https://www.youtube.com/@UCT3XN4RtcFhmrWl8tf_o49g (Subscribe today)LinkedIn: https://www.linkedin.com/in/aarondfrancisWebsite: https://aaronfrancis.com - find articles, podcasts, courses, and more.Chapters00:00 - Introduction01:11 - Simon's background and time at Shopify03:01 - The Rails glory days and early developer experiences04:55 - From PHP to Rails and joining Shopify06:14 - The viral blog post that led to Shopify09:03 - Discovering engineering talent through GitHub10:06 - Scaling Shopify's infrastructure to millions of requests per second12:47 - Lessons from hypergrowth and burnout14:46 - Life after Shopify and “angel engineering”16:31 - The Readwise problem and discovering vector embeddings18:22 - The high cost of vector databases and napkin math19:14 - Building TurboPuffer on object storage21:20 - Landing Cursor as the first big customer23:00 - What TurboPuffer actually is25:26 - Why object storage now works for databases28:37 - How TurboPuffer stores and retrieves data31:06 - What's inside those S3 files33:02 - Explaining vectors and embeddings35:55 - How TurboPuffer v1 handled search38:00 - Transitioning from search engine to database44:09 - How Turbopuffer v2 and v3 improved performance47:00 - Smart caching and architecture optimizations49:04 - Trade-offs: high write latency and cold queries51:03 - Cache warming and primitives52:25 - Comparing object storage providers (AWS, GCP, Azure)55:02 - Building a multi-cloud S3-compatible client57:11 - Who TurboPuffer serves and the scale it runs at59:31 - Connecting data to AI and the global vision1:00:15 - Company size, scale, and hiring1:01:36 - Roadmap and what's next for TurboPuffer1:03:10 - Why you should (or shouldn't) use TurboPuffer1:05:15 - Closing thoughts and where to find Simon
In this episode of FMEP's Occupied Thoughts podcast, FMEP President Lara Friedman speaks with Zo Brown (an alias), the founder of Databases for Palestine about the project, and about why actively working to preserve evidence and memory of Israel's genocide of Gaza -- and actively working to fight the erasure of both -- is central to the achievement of accountability and justice. You can follow the work of Databases for Palestine on X (https://x.com/databases4pal) and at https://databasesforpalestine.org/, and you can support it via Patreon (https://www.patreon.com/databases4pal).
️E688 of The English Like A Native Podcast. This series focuses on increasing your active vocabulary while also improving your listening skills. SUPPORTING MATERIAL Bonus Materials: episodes, transcripts, live classes & vocabulary lists HERE! Five-a-Day Database: All vocabulary covered in the Five-a-Day series. Database regularly updated. English Courses: Pronunciation, A2-C2, Business English available!
️E687 of The English Like A Native Podcast. This series focuses on increasing your active vocabulary while also improving your listening skills. Five a Day Database Access all the vocabulary covered in the Five-a-Day series. This database is constantly updated. You can even make a copy and personalise it with your own example sentences. Get access here SUPPORTING MATERIAL Bonus Materials: episodes, transcripts, live classes & vocabulary lists HERE! Five-a-Day Database: All vocabulary covered in the Five-a-Day series. Database regularly updated. English Courses: Pronunciation, A2-C2, Business English available!
Listen now to learn:00:00 – Intro:02:35 – What Is Generative AI (Really)?06:04 – Compliance Concerns & Data Privacy:14:20 – Can You Trust AI to Run Your Practice?18:09 – Data Is the New Asset Class:22:19 – Trust, Credibility & the Human Factor:27:11 – The Future of Work in Financial Services:31:05 – Final Thoughts: Trust But Verify:Learn more about our companies and resources:-Elite Consulting Partners | Financial Advisor Transitions: https://eliteconsultingpartners.com-Elite Marketing Concepts | Marketing Services for Financial Advisors: https://elitemarketingconcepts.com-Elite Advisor Successions | Advisor Mergers and Acquisitions: https://eliteadvisorsuccessions.com-JEDI Database Solutions | Technology Solutions for Advisors: https://jedidatabasesolutions.com Listen to more Advisor Talk episodes: https://eliteconsultingpartners.com/podcasts/
️E686 of The English Like A Native Podcast. This series focuses on increasing your active vocabulary while also improving your listening skills. SUPPORTING MATERIAL Bonus Materials: episodes, transcripts, live classes & vocabulary lists HERE! Five-a-Day Database: All vocabulary covered in the Five-a-Day series. Database regularly updated. English Courses: Pronunciation, A2-C2, Business English available!
Underground Feed Back Stereo x Brothers Perspective Magazine Broadcast
Underground Feed Back Stereo - Brothers Perspective Magazine - Personal Opinion Database - black people board game of no endBlack August Resistance Uprising against white aggression in Montgomery Alabama in 2023. Black People suffer in a place many are void of Self Awareness and Dignified Liberation. These project 2025 europeons stole the land by killing the natives of lands but not to share with the original inhabitant or those they enslaved. These tyrants are negative to the core and cant do good. The fight is to know what an oppressor is and how a system operates from this oppression. The euro colonizers designs all the laws to neglect BLACK People from benefiting from the Land. The Black people are enslaved property on stolen land not able to benefit from the life they live! The payback for such atrocities can never be forgiven. Its the mind you must maintain against colonial genocide. This also happens with the endless rejection letters from art galleries etc. No respect to you! Sound Art? Black People Dont Benefit from Slavery! Tune in to these educated brothers as they deliver Personal Opinions for Brothers Perspective Audio Feedback #Reparations #diabetes #75dab #WilliamFroggieJames #lyching #basketball #nyc #fakereligion #war #neverapologize #brooklyn #guncontrol #birthcontrol #gentrification #trump #affirmitiveaction #nokings #criticalracetheory #tennessee #stopviolence #blackmusic #marshallact #music #europeanrecoveryprogram #chicago #sense #zantac #rayygunn #blackjobs #southsidechicago #blackart #redlining #maumau #biko70 #chicago #soldout #dei #equality #podcast #PersonalOpinionDataBase #protest #blackart #africanart #gasprices #colonialoppressors #undergroundfeedbackstereo #blackpeople #race #womansbasketball #blackjesus #colonialoppression #blackpeopledontbenefitfromslavery #Montgomery #alabama #foldingchairs #blackrussianjesus #gaza #brothersperspectivemagazine #art #slavery #MUSK #doge #spacex #watergate #thomasjefferson #tariff #project2025brothersperspective.com undergroundfeedbackstereo.com feat. art 75dab
Ed has been talking about it and talking about it and talking about it. For how long? Well, it feels like a decade but it's been more like two years. Today, all of you finally get to hear about the first stats arising from the creation of the Database. Learn more about your ad choices. Visit megaphone.fm/adchoices
What do guitar busking, geospatial queries, and agentic coding have to do with Postgres? In Episode 33 of Talking Postgres, principal engineer Rob Emanuele at Microsoft shares his winding path from Venice Beach to building a new VS Code extension for PostgreSQL—that works with any Postgres, anywhere. We dig into GitHub Copilot, ask vs. agent mode, and how Rob now codes in English—and then spends even more time in code review to decide what's good, what's bad, and what's dangerous. Also: how PyCon changed his life; his work on the Microsoft Planetary Computer with spatio-temporal queries and PostGIS; and how music, improv, and failure shape his approach to developer experience. Links mentioned in this episode:Visual Studio Marketplace: VS Code extension for PostgreSQL with ~261K downloads to dateGitHub repo: VS Code extension for PostgreSQL (for issues/discussions)Docs: GitHub Copilot agent modePOSETTE 2025 Talk: Introducing Microsoft's VS Code Extension for PostgreSQL, by Matt McFarlandVS Code Live: Working with PostgreSQL databases with the Microsoft PostgreSQL VS Code extension, with Olivia Guzzardo & Rob EmanueleTalking Postgres Ep30: AI for data engineers with Simon WillisonPostgres Meetup for All: VS Code Tools for Postgres, happening on Thu Dec 11, 2025 Wikipedia: DogfoodingTalking Postgres Ep07: Why people care about PostGIS and Postgres with Paul Ramsey & Regina ObePOSETTE 2024 keynote: The Open Source Geospatial Community, PostGIS, & Postgres, by Regina ObeWebsite: Microsoft Planetary ComputerGitHub repo: PgSTACCal invite: LIVE recording of Ep34 of Talking Postgres to happen on Wed Dec 10, 2025
️E685 of The English Like A Native Podcast. This series focuses on increasing your active vocabulary while also improving your listening skills. SUPPORTING MATERIAL Bonus Materials: episodes, transcripts, live classes & vocabulary lists HERE! Five-a-Day Database: All vocabulary covered in the Five-a-Day series. Database regularly updated. English Courses: Pronunciation, A2-C2, Business English available!
Mike Freedman and Ajay Kulkarni, founders of Tiger Data, join the podcast to unveil Agentic Postgres, a database re-imagined for AI agents. Subscribe to the Gradient Flow Newsletter
Hasan Rizvi, EVP, Database Engineering, Oracle, talks to Bob Evans in this latest episode of Cloud Wars Live. They explore the launch of Oracle AI Database 26ai, the Autonomous AI Lakehouse, and breakthroughs in multi-cloud deployment. Rizvi also discusses vector search, agentic AI, and how Oracle is simplifying complex architectures for the AI era. It's a compelling look at how Oracle is reshaping enterprise data strategy for the age of AI.Oracle's Next-Gen Data StrategyThe Big Themes:AI Demands a Modern Data Foundation: As AI shifts operations from human scale to machine speed, enterprises must ask: “Is my data foundation ready?” Without intelligent data structures, comprehensive access, real‑time performance, and strong security, organizations will struggle to compete. The introduction of Oracle AI Database 26ai is positioned as that foundation. The urgency of this shift is clear: companies that delay risk being left behind.Agentic AI and Vectors Come to the Enterprise Database: Generative AI and autonomous agents require new data types and workflows. Oracle has built vector data types and vector indexes into the database so enterprises can perform similarity search, retrieval‑augmented generation (RAG) and agent workflows directly on their private data. Further, Oracle is enabling annotations (metadata) so LLMs can understand enterprise data schemas, improving accuracy. Finally, agentic workflows (AI that takes action) are supported within the database, reducing data movement, improving performance and strengthening security.Start‑Ups and Established Enterprises Both Benefit: The case study of Retraced (a fashion supply‑chain company) underscores how smaller, agile firms are using Oracle's autonomous AI database to innovate quickly: multi‑datatype support, agentic AI, automatic scaling, and reduced operational overhead. At the same time, Oracle's heritage in mission‑critical enterprise systems means large companies with massive workloads benefit from the same platform. The point: whether you're a start‑up or a Fortune 500, the difference will be how fast you move.The Big Quote: “We really believe that in in the age of AI, where you have to move much faster, you really don't have a choice but to start simplifying your environment. Otherwise, you're going to get left behind."More from Hasan Rizvi and Oracle:Connect with Hasan on LinkedIn and learn more about Oracle AI Database 26ai. Visit Cloud Wars for more.
️E684 of The English Like A Native Podcast. This series focuses on increasing your active vocabulary while also improving your listening skills. SUPPORTING MATERIAL Bonus Materials: episodes, transcripts, live classes & vocabulary lists HERE! Five-a-Day Database: All vocabulary covered in the Five-a-Day series. Database regularly updated. English Courses: Pronunciation, A2-C2, Business English available!
Today, Hunter was joined once again by journalist Katey Rausch. Last time Katey was on the show, she discussed her bombshell reporting on the non-disclosure agreements law enforcement was using to hide the misconduct of law enforcement officers. Now, Katey is here to describe how that reporting has turned into a ban on those agreements and a state wide data base to allow people to track law enforcement misconduct. Guest: Katey Rusch, Record Requests Manager and Data Journalist, California Reporting Project, UC Berkeley School of Journalism Resources: Contact Katey https://journalism.berkeley.edu/person/katey-rusch/ https://x.com/kateyrusch?lang=en Read Katey's Work and About the Database https://www.sfchronicle.com/projects/2024/police-clean-record-agreements/ https://gijn.org/stories/investigating-police-officer-misconduct/ https://journalism.berkeley.edu/berkeley-and-stanford-police-database/ https://clean.calmatters.org/ https://calmatters.org/justice/2025/08/police-misconduct-records-database/ Contact Hunter Parnell: Publicdefenseless@gmail.com Instagram @PublicDefenselessPodcast Twitter @PDefenselessPod www.publicdefenseless.com Subscribe to the Patreon www.patreon.com/PublicDefenselessPodcast Donate on PayPal https://www.paypal.com/donate/?hosted_button_id=5KW7WMJWEXTAJ Donate on Stripe https://donate.stripe.com/7sI01tb2v3dwaM8cMN Trying to find a specific part of an episode? Use this link to search transcripts of every episode of the show! https://app.reduct.video/o/eca54fbf9f/p/d543070e6a/share/c34e85194394723d4131/home
Jack Pertschuck, former Principal Engineer at Pinecone, discusses what vector databases are and why they matter for AI and search applications. He also discusses the challenges of communicating the value of this technology when the problem isn't widely understood. Key Takeaways: Advice for teams looking to adopt vector search technology The importance of hybrid and cascading retrieval methods The significance of context engineering and evaluation metrics in AI systems How Pinecone is democratizing vector database technology for AI and machine learning applications Guest Bio: Jack Pertschuk is a former Principal Engineer with Pinecone, the market leader in vector databases. As the company's founding engineer and lead for algorithms, applied research, and platform, Jack is responsible for the roadmap and execution across research and engineering for search index efficiency and accuracy. Prior to Pinecone, Jack was a founder of SidekickQA and creator of the NBoost open source neural ranking engine. He is an active member of the Rust and Information Retrieval research community, and is passionate about solving problems at the intersection of ML and systems. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte
It's Election Night in the US and Jason Howell, Huyen Tue Dao and Ron Richards are abuzz with the world of Android ranging from Android Developer updates to AI powered Robots and phones with physical keyboard.Note: Time codes subject to change depending on dynamic ad insertion by the distributor00:09:07 - NEWSWell, it's happened - Google has opened up the Play Store's gates in the US after the Epic Games court rulingAndroid Developers take note as Google announces new tools and programs for Google Play plus new AI experiences on The Android ShowA leaker reveals exactly how Cellebrite can hack into Pixel phonesPatron Pick: Why don't the best Android phones ever make it to the US?00:44:58 - HARDWAREExperience the LOOI Robot which turns your phone into an AI Powered, desktop robot!Hands on with the Unihertz Titan 2 and it's elegant physical keyboardThe Samsung Galaxy S26 will be unveiled in San Francisco next February along with so much more AI stuffA new gaming phone is teased by Ayaneo10 years later, we get more looks at Project Ara's modular smartphone01:09:13 - APPSAndroid 17 could bring full-screen apps to your phone's always-on displayLineage0S now supports the Pixel 9A and the OnePlus 13Home screen widgets are coming to Android Auto!01:18:13 - FEEDBACKChuck in Thousand Oaks follows up with what he did with that free phone number from VerizonWill from Oregon points out that Nova Launcher just released an update, what's up with that? Hosted on Acast. See acast.com/privacy for more information.
A reading of the Instrument Procedures Handbook (IPH) Chapter 6. Checkout: www.wifiCFI.com for more audiobook readings and:STUDY COURSES (click any to try free!)Private Pilot >Instrument Rating >Commercial Pilot >CFI Study Course > CFII Study Course > Multi Engine Add-On > CHECKRIDE LESSON PLANS (click any to try free!)CFI Lesson Plans >CFII Lesson Plans > MEI Add-On Lesson Plans >TEACHING COURSES (click any to try free!)Teach Private Pilot >Teach Instrument Rating >Teach Commercial Pilot >Teach CFI Initial >Teach CFII Add-On >Support the show
️E683 of The English Like A Native Podcast. This series focuses on increasing your active vocabulary while also improving your listening skills. SUPPORTING MATERIAL Bonus Materials: episodes, transcripts, live classes & vocabulary lists HERE! Five-a-Day Database: All vocabulary covered in the Five-a-Day series. Database regularly updated. English Courses: Pronunciation, A2-C2, Business English available!
What if the biggest opportunity in your real estate business isn't the next lead you buy, but the database you already have sitting in your CRM? In this episode, I sit down with Ryan Young, who scaled his family's real estate team from 30 homes a year to over 500, and then built one of the hottest CRM companies in real estate.Ryan shares the exact mindset shift that took him from grinding through open houses and door knocking in 2009 to building a systematic, data-driven approach that extracts maximum value from every contact in your database. We dive deep into why most agents are terrible at database marketing and how the right technology can find hidden opportunities you never knew existed.Inside this episode:How Ryan muscled through the 2009 recession to build unshakeable lead generation skillsThe psychology difference between working with buyers vs sellers that most agents missWhy "spray and pray" database outreach kills your conversion ratesThe segmentation strategy that turns cold contacts into warm opportunitiesHow AI can identify which contacts in your database are actively shopping with your competitionWhy leading with value beats asking for referrals every single timeThe exact conversation framework Ryan uses to create off-market opportunitiesWant to connect with Ryan? Check out Fello AI: https://fello.ai/Contact The Young Team: theyoungteam.comWhether you're struggling to get past 30 transactions or looking to scale beyond 100, this episode will change how you think about the goldmine sitting in your CRM. Subscribe, share, and follow for more interviews like this.
️E682 of The English Like A Native Podcast. This series focuses on increasing your active vocabulary while also improving your listening skills. SUPPORTING MATERIAL Bonus Materials: episodes, transcripts, live classes & vocabulary lists HERE! Five-a-Day Database: All vocabulary covered in the Five-a-Day series. Database regularly updated. English Courses: Pronunciation, A2-C2, Business English available!
Commentary by Dr. Joon Ho Ahn.
In this episode, hosts Lois Houston and Nikita Abraham team up with Senior Principal OCI Instructor Sergio Castro to unpack the basics of cloud networking and the Domain Name System (DNS). You'll learn how local and virtual networks connect devices, and how DNS seamlessly translates familiar names like oracle.com into addresses computers understand. Cloud Tech Jumpstart: https://mylearn.oracle.com/ou/course/cloud-tech-jumpstart/152992 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode. ------------------------------------------------ Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Lois: Hello and welcome to the Oracle University Podcast! I'm Lois Houston, Director of Innovation Programs with Oracle University, and with me is Nikita Abraham, Team Lead: Editorial Services. Nikita: Hi everyone! For the last few weeks, we've been talking about different aspects of cloud data centers. Today, we're focusing on something that's absolutely key to how everything works in the cloud: networking and domain name systems. 00:52 Lois: And to guide us through it, we've got Sergio Castro, Senior Principal OCI Instructor at Oracle University. We'll start by trying to understand why networking is so crucial and how it connects everything behind the scenes. Sergio, could you explain what networking means in simple terms, especially for folks new to cloud tech? Sergio: Networking is the backbone of cloud computing. It is a fundamental service because it provides the infrastructure for connecting users, applications, and resources within a cloud environment. It basically enables data transfers. It facilitates remote access. And ensures that cloud services are accessible to users. This provided that these users have the correct credentials. 01:38 Nikita: Ok, can you walk us through how a typical network operates? Sergio: In networking, typically starts with the local area network. Basically, networking is a crucial component for any IT service because it's the foundation for the architecture framework of any of the services that we consume today. So, a network is two or more computers interconnected to each other. And not necessarily it needs to be a computer. It can be another device such as a printer or an IP TV or an IP phone or an IP camera. Many devices can be part of a local area network. And a local area network can be very small. Like I mentioned before, two or more computers, or it could grow into a very robust and complicated set of interconnected networks. And if that happens, then it can become very expensive as well. Cloud networking, it's the Achilles heel for many of the database administrators, programmers, quality assurance engineers, any IT other than a network administrator. Actually, when the network starts to grow, managing access and permissions and implementing robust security measures, this coupled with the critical importance of reliable, and secure performance, can create significant hurdles. 03:09 Nikita: What are the different types of networks we have? Sergio: A local area network is basically in one building. It covers… it can be maybe two buildings that are in close proximity in a small campus, but typically it's very small by definition, and they're all interconnected to each other via one router, typically. A metropolitan area network is a typical network that spans into a city or a metro area, hence the name metropolitan area network. So, one building can be on one edge of the city and the other building can be at the other edge of the city, and they are interconnected by a digital circuit typically. So that's the case. It's more than one building, and the separation of those buildings is considerable. It can go into several miles. And a wide area network is a network that spans multiple cities, states, countries, even international. 04:10 Lois: I think we'll focus on the local area network for today's conversation. Could you give us a real-world example, maybe what a home office network setup looks like? Sergio: If you are accessing this session from your home office or from your office or corporate office even, but a home office or a home network, typically, you have a router that is being provided to you by the internet vendor—the internet service provider. And then you have your laptop or your computer, your PC connected to that router. And then you might have other devices either connected via cable—ethernet cable—or Wi-Fi. And the interconnectivity within that small building is what makes a local area network. And it looks very similar once you move on into a corporate office. Again, it's two or more computers interconnected. That's what makes a local area network. In a corporate office, the difference with a home office or your home is that you have many more computers. And because you have many more computers, that local area network might be divided into subnets. And for that, you need a switch. So, you have additional devices like a switch and a firewall and the router. And then you might have a server as well. So that's the local area network. Two or more computers. And local area networks are capable of high speeds because they are in close proximity to each other. 05:47 Nikita: Ok… so obviously a local area network has several different components. Let's break them down. What's a client, what's a server, and how do they interact? Sergio: A client basically is a requester of a service. Like when you hop into your browser and then you want to go to a website, for example, oracle.com, you type www.oracle.com, you are requesting a service from a server. And that server typically resides in a data center like oracle.com under the Oracle domain is a big data center with many interconnected servers. Interconnected so they can concurrently serve multiple millions of requests coming into www.oracle.com at the same time. So, servers provide services to client computers. So basically, that's the relation. A client requests a service and the server provides that service. 06:50 Lois: And what does that client-server setup actually look like? Sergio: So, let's continue with our example of a web browser requesting a service from a web server. So, in this case, the physical computer is the server. And then it has a software running on it. And that makes it a web server. So, once you type www.oracle.com, it sends the request and the request is received. And provided that everything's configured correctly and that there are no typos, then it will provide a response and basically give the view of the website. And that's obviously in the local area network, maybe quality assurance when they were testing this for going live. But when it goes live, then you have the internet in the middle. And the internet in the middle then have many routers, hubs, switches. 07:51 Transform the way you work with Oracle Database 23ai! This cutting-edge technology brings the power of AI directly to your data, making it easier to build powerful applications and manage critical workloads. Want to learn more about Database 23ai? Visit mylearn.oracle.com to pick from our range of courses and enroll today! 08:16 Nikita: Welcome back! Sergio, would this client-server model also apply to my devices at home? Sergio: In your own local area network, you have client server even without noticing. For example, let's go back to our home office example. What happens if we add another laptop into the scenario? Then all of these devices, they need a way for them to communicate. And for that, they have an IP address. And who provides that IP address? The minute that you add, the other device is going to send a request to the router. The router, we call it router, but it has multiple functions like the mobile device, the handheld device that we call smartphone. It has many functions like camera and calendar and many other functionalities. The router has an additional functionality called the dynamic host configuration protocol at DHCP server. So basically, the laptop requests, hey, give me an IP address, and then the router or the DHCP server replies, here's your IP address. And it's going to be a different one. So, they don't overlap. So that's an example of client server. 09:32 Lois: And where do virtual networks fit into all this? Sergio: A virtual network is basically, a software version of the physical network. It looks and feels exactly as a physical network does. We do have a path or a communication, in this case, in the physical network, you have either Wi-Fi or you have internet cable. And then you add your workstations or devices on top of that. And then you might create subnets. So, in a software-defined network or in a virtual network, you have a software-defined connectivity, physical cable and all of that. Everything is software-defined. And it looks exactly the same, except that everything is software. In a software or a virtual network, you can communicate with a physical network as if that software or that virtual network was another physical network. Again, this is a software network or a software-defined network, a virtual network, no longer a physical network. 10:42 Lois: Let's switch gears a little and talk about Domain Name Systems. Sergio, can you explain what DNS is, and why it's important when we browse the web? Sergio: DNS is the global database for internet addressing. The DNS plays a very important role on the internet. And many internet services are closely related to DNS. The main functionality of DNS is to translate easy-to-remember names into IP addresses. Some IP addresses might be very easy to remember. But however, if you have many of them, then it's easier to remember oracle.com or ucla.edu or navy.mil for military or eds.org for organization or gobierno.mx for Mexico. So that's the main feature of the DNS. It's very similar to a mobile phone to the contacts application in your mobile phone, because the contacts application maps names to phone numbers. It's easier to remember Bob's phone than 555-123-4567. So, it's easier to remember the name of the persons in your contacts list, like it is easier to remember, as previously mentioned, oracle.com than 138.1.33.162. Again, 138.1.33.162 might be easy for you to remember if that's the only one that you need to remember. But if you have 20, 40, 50, like we do with phone numbers, it's easier to remember oracle.com or ucla.edu. And this is essential, this mapping, again, because we work with names it's easier for us to remember. However, the fact is that computers, they still need to use IP addresses. And remember that this is the decimal representation of the binary number. It's a lot harder for us to remember the 32 bits or each one of the octets in binary. So that's the main purpose of DNS. Now the big difference is that the contact list in a cell phone is unique to that individual phone. However, DNS is global. It applies to everybody in the world. Anybody typing oracle.com will translate that into 138.1.33.162. Now this is an actual IP address of oracle.com. Oracle.com has many IP addresses. If you ping oracle.com, chances are that this is one of the many addresses that maps to oracle.com. 13:35 Nikita: You mentioned that a domain name like oracle.com can have many IP addresses. So how does DNS help my computer find the right one? Sergio: So, let's say that you want to look for www.example.com, how do you do that? So, you type in your computer instance or in your terminal, in your laptop, in your computer, you type in your browser "www.example.com." If the browser doesn't have that information in cache, then it's going to first ask your DNS server, the one that you have assigned and indicating in your browser's configuration. And if the DNS server then it will relate that the information is 96.7.128.198. This address is real, and your browser will go to this address once you type www.example.com. 14:34 Nikita: But what happens if the browser doesn't know the address? Sergio: This is where it gets interesting. Your browser wants to go to www.example.com. And it's going to go and look within its cache. If it doesn't have it, then the first step is to go ahead to your DNS server and ask them, hey, if you don't know this address, go ahead and find out. So, it goes to the root server. All the servers are administrated by IANA. And it's going to send the information, hey, what's the IP address for www.example.com? And if the root server doesn't know it, it's going to let you know, hey, ask the top-level domain name server, in this case, the .com. It's a top-level domain name server. So, you go ahead and ask this top-level domain name server to do that for you. In this case, again, the .com and you asked, hey, what's the IP address for example.com? And if the top-level domain name server doesn't know, it's going to ask you, hey, ask example.com. And example.com is actually within the customer's domain. And then based on these instructions you ask, what is the IP address for www.example.com? So, it will provide you with the IP address. And once your DNS server has the IP address, then it's going to relate to your web browser. And this is where your web browser actually reaches 96.7.128.198. Very interesting, isn't it? 16:23 Lois: Absolutely! Sergio, you mentioned top-level domain names. What are they and how are they useful? Sergio: A top level domain is the rightmost segment of a domain name, and it's located after the last visible dot in the domain name. So oracle.com or cloud.oracle.com is a domain name. So, .com is a top-level domain. And the purpose of the top-level domain is to recognize certain elements of a website. This top-level domain indicates that this is a commercial site. Now, .edu, for example, is a top-level domain name for higher education. We also have .org for nonprofit organizations, .net for network service providers. And we also have country specific. .ca for Canadian websites, .it for Italian websites. Now .it, a lot of companies that are in the information technology business utilizes this one to indicate that they're in information technology. There's also the .us. And for US companies, most of the time this is optional. .com, .org, .net is understood that they are from the US. Now if .com is a top-level domain name, what is that .oracle in cloud? So, Oracle is the second-level domain name. And in this case, Cloud is the third-level domain name. And lately you've been seeing a lot more top-level domain names. These are the classic ones. But now you get .AI, .media, .comedy, .people, and so on and so forth. You have many, many, even companies now have the option of registering their company name as the top-level domain name. 18:24 Nikita: Thank you, Sergio, for this deep dive into local area networks and domain name systems. If you want to learn about the topics we covered today, go to mylearn.oracle.com and search for the Cloud Tech Jumpstart course. Lois: And don't forget to join us next week for another episode on networking essentials. Until next time, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 18:46 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.
️E681 of The English Like A Native Podcast. This series focuses on increasing your active vocabulary while also improving your listening skills. SUPPORTING MATERIAL Bonus Materials: episodes, transcripts, live classes & vocabulary lists HERE! Five-a-Day Database: All vocabulary covered in the Five-a-Day series. Database regularly updated. English Courses: Pronunciation, A2-C2, Business English available!
Underground Feed Back Stereo x Brothers Perspective Magazine Broadcast
Underground Feed Back Stereo - Brothers Perspective Magazine - Personal Opinion Database - BLACK PEOPLE Never Give Up On Your BLACK PEOPLEBlack August Resistance Uprising against white aggression in Montgomery Alabama in 2023. Black People suffer in a place many are void of Self Awareness and Dignified Liberation. These project 2025 europeons stole the land by killing the natives of lands but not to share with the original inhabitant or those they enslaved. These tyrants are negative to the core and cant do good. The fight is to know what an oppressor is and how a system operates from this oppression. The euro colonizers designs all the laws to neglect BLACK People from benefiting from the Land. The Black people are enslaved property on stolen land not able to benefit from the life they live! The payback for such atrocities can never be forgiven. Its the mind you must maintain against colonial genocide. This also happens with the endless rejection letters from art galleries etc. No respect to you! Sound Art? Black People Dont Benefit from Slavery! Tune in to these educated brothers as they deliver Personal Opinions for Brothers Perspective Audio Feedback #Reparations #diabetes #75dab #WilliamFroggieJames #lyching #basketball #nyc #fakereligion #war #neverapologize #brooklyn #guncontrol #birthcontrol #gentrification #trump #affirmitiveaction #nokings #criticalracetheory #tennessee #stopviolence #blackmusic #marshallact #music #europeanrecoveryprogram #chicago #sense #zantac #rayygunn #blackjobs #southsidechicago #blackart #redlining #maumau #biko70 #chicago #soldout #dei #equality #podcast #PersonalOpinionDataBase #protest #blackart #africanart #gasprices #colonialoppressors #undergroundfeedbackstereo #blackpeople #race #womansbasketball #blackjesus #colonialoppression #blackpeopledontbenefitfromslavery #Montgomery #alabama #foldingchairs #blackrussianjesus #gaza #brothersperspectivemagazine #art #slavery #MUSK #doge #spacex #watergate #thomasjefferson #tariff #project2025brothersperspective.com undergroundfeedbackstereo.com feat. art 75dab
In this episode, I share some initiatives to help in improving the teaching and learning of political communication.Political Communication Teaching Database and the upload page. Meta Oversight Board Game Counterfactual Case Study
ChatGPT: News on Open AI, MidJourney, NVIDIA, Anthropic, Open Source LLMs, Machine Learning
ChatGPT can now read everything from spreadsheets to strategy decks. OpenAI claims this upgrade could transform enterprise productivity. The line between AI assistant and data analyst is blurring fast.Get the top 40+ AI Models for $20 at AI Box: https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle
Catherine (Space and Time) breaks down why blockchains alone can't power complex apps—and how a verifiable, decentralized database with ZK proofs closes the gap for enterprises, devs, and AI agents. We cover: what SxT is, how its patented ZK approach offloads compute to a single node and proves correctness on-chain, why institutional adoption is sticky, and marketing tactics that actually work in Web3 (what to outsource vs keep in-house). She also shares the Indonesia education rollout (UGM + Indosat Ooredoo Hutchison/IOH), token-powered payments, and what she'd do with unlimited community budget.Key timestamps (YouTube format)[00:00:00] Opening clip: From “future of money” to “verifiable data for smart contracts” [00:01:00] Live at Token2049: who Catherine is and what we cover [00:02:00] Origin story: joining Space and Time to solve crypto's database gap [00:03:00] Mission: empower devs/enterprises/AI agents with verifiable data [00:04:00] Why chains ≠ databases: limits, complexity, and enterprise SLAs [00:05:00] The core innovation: patented ZK proofs for database compute [00:05:45] How it works (plain English): single-node compute, on-chain verification [00:06:30] Catherine's background: technical marketing roots → Web3 [00:07:00] Founder tip: what to outsource vs keep internal (PR, events, community) [00:08:00] Campaigns that win: enterprise/institutional stories beat gimmicks [00:09:00] Example: Microsoft Fabric integration momentum[00:10:00] Listening to the market: community as your feedback engine [00:11:00] Indonesia rollout: IOH partnership and 100k+ students onboarding [00:12:00] UGM framework: verifiable diplomas/records; SXT as payment rail [00:13:00] Longevity question: decentralization and community node operators [00:15:00] If starting today: what they'd build vs leverage in the ecosystem [00:16:00] Why institutional demand is slow but sticky (and good for cycles) [00:17:00] Competing for attention vs building fundamentals and partnerships [00:18:00] What Space and Time needs now: builders to ship with verifiable data [00:19:00] Who they admire: Chainlink's dual GTM (community + enterprise) [00:20:00] Unlimited budget thought experiment: country leads and community depth [00:20:45] Advice to community managers: shared values, inclusion, tight feedback loops [00:21:30] Close: links, how to try SxT, and why this matters for Web3 buildersConnecthttps://www.spaceandtime.io/https://twitter.com/SpaceandTimeDBhttps://discord.gg/spaceandtimeDB https://www.linkedin.com/in/catherinehdaly/https://www.linkedin.com/company/space-and-time-db/DisclaimerNothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.Be a guest on the podcast or contact us - https://www.web3pod.xyz/
Nik and Michael discuss the concept of gapless sequences — when you might want one, why sequences in Postgres can have gaps, and an idea or two if you do want them.And one quick clarification: changing the CACHE option in CREATE SEQUENCE can lead to even more gaps, the docs mention it explicitly. Here are some links to things they mentioned:CREATE SEQUENCE https://www.postgresql.org/docs/current/sql-createsequence.htmlSequence Manipulation Functions https://www.postgresql.org/docs/current/functions-sequence.htmlOne, Two, Skip a Few (post by Pete Hamilton from Incident io) https://incident.io/blog/one-two-skip-a-fewPostgres sequences can commit out-of-order (blog post by Anthony Accomazzo / Sequin) https://blog.sequinstream.com/postgres-sequences-can-commit-out-of-orderLogical Replication of sequences (hackers thread) https://www.postgresql.org/message-id/flat/CAA4eK1LC%2BKJiAkSrpE_NwvNdidw9F2os7GERUeSxSKv71gXysQ%40mail.gmail.comSynchronization of sequences to subscriber (patch entry in commitfest) https://commitfest.postgresql.org/patch/5111/Get or Create (episode with Haki Benita) https://postgres.fm/episodes/get-or-createGerman tank problem https://en.wikipedia.org/wiki/German_tank_problem~~~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
️E680 of The English Like A Native Podcast. This series focuses on increasing your active vocabulary while also improving your listening skills. Five a Day Database Access all the vocabulary covered in the Five-a-Day series. This database is constantly updated. You can even make a copy and personalise it with your own example sentences. Get access here SUPPORTING MATERIAL Bonus Materials: episodes, transcripts, live classes & vocabulary lists HERE! Five-a-Day Database: All vocabulary covered in the Five-a-Day series. Database regularly updated. English Courses: Pronunciation, A2-C2, Business English available!
Simon spent 10 years at Shopify scaling databases to millions of requests per second. Then he discovered vector databases were so expensive that companies couldn't launch AI features. So he solved it. When Cursor emailed about their crushing costs, Simon flew to San Francisco unannounced. They migrated their entire workload within a week, cutting their bill by 95%. Then came Notion. Justin pulled 24-hour coding marathons during their POC, fixing 300 milliseconds of latency in three hours. They signed on July 25th—the same day Simon's daughter was born. Now TurboPuffer powers Cursor, Notion, and Linear while staying profitable with just 17 people. Simon shares why he turned down easy Series A money and his framework of exactly 6 legitimate reasons to ever raise capital.Why You Should Listen:The power of making something 10-100x cheaperWhy you need to be willing to fly to early customers (how that landed Cursor)The 6 reasons to raise money (and why you often shouldn't)How working 24-hour sprints during POCs converted enterprise customersWhy staying profitable with 17 people beats raising $30M you don't needKeywords:startup podcast, startup podcast for founders, TurboPuffer, Simon Eskildsen, vector database, Cursor, Notion, bootstrapping, database startup, AI infrastructure00:00:00 Intro00:07:52 Finding the problem00:12:25 Building alone00:22:27 Going viral on X00:26:18 Closing Cursor00:40:17 Closing Notion00:45:26 Why he didn't raise $30M when everyone expected him toSend me a message to let me know what you think!
️E679 of The English Like A Native Podcast. This series focuses on increasing your active vocabulary while also improving your listening skills. SUPPORTING MATERIAL Bonus Materials: episodes, transcripts, live classes & vocabulary lists HERE! Five-a-Day Database: All vocabulary covered in the Five-a-Day series. Database regularly updated. English Courses: Pronunciation, A2-C2, Business English available!
️E678 of The English Like A Native Podcast. This series focuses on increasing your active vocabulary while also improving your listening skills. ️Listen and read along on The English Like a Native Podcast YouTube channel. SUPPORTING MATERIAL Bonus Materials: episodes, transcripts, live classes & vocabulary lists HERE! Five-a-Day Database: All vocabulary covered in the Five-a-Day series. Database regularly updated. English Courses: Pronunciation, A2-C2, Business English available!
Send us a textIn this episode we interview Kara Smith Brown, CEO of Lead Coverage, a go-to-market consultancy serving freight and supply chain leaders. She explains how to build a repeatable revenue engine by prioritizing the right buyers at the right moment. What you'll learn in this episode:Why you should stop paying for “records” and commodity content—and invest in strategy and distribution instead.How to fuel your revenue engine: own the emails for your finite TAM and share timely, relevant “good news” with a clear point of view.The 5% moment: focus on buyers in-market now and let everything else serve that goal.Four kinds of intent data—and which matter: primary (your CRM), tertiary (e.g., Gartner via tools like 6sense), and single-stream industry sources; why secondary sources are fading.Database reality: 25–30% of contacts decay every 90 days—refresh relentlessly.Use AI for fast first drafts; spend money on the who, not the what.Turn content into coverage: use PR to place sharp points of view that can be traced to revenue.Align with sales: deliver in-market leads, not vanity metrics.
Independent investigative journalism, broadcasting, trouble-making and muckraking with Brad Friedman of BradBlog.com
Luke Wroblewski of Sutter Hill Ventures joins the podcast to discuss the paradigm shift in building AI applications. He explains how the traditional model of “code + database” is being replaced by “URL + model,” where the AI agent itself becomes the application logic. Subscribe to the Gradient Flow Newsletter
CLEARANCE GRANTED... WELCOME, AUTHORIZED PERSONNEL... SCRIPT BASED ON ORIGINAL ENTRY BY various authors: www.scp-wiki.net/log-of-extranormal-events License: creativecommons.org/licenses/by-sa/3.0/ ---- The voice of the Database was provided by Joshua Alan Lindsay. ---- The outro music was written by Joshua Alan Lindsay. ---- Enjoy the podcast? Consider supporting us on Patreon! Patrons get access to bonus Joke episodes, outtakes, exclusive merch, and can even request episodes on specific SCP objects. www.patreon.com/thescpfoundationdatabase Listen and read along in one place on our website: www.scpdatapodcast.com/episodes/log-of-extranormal-events-vol-1-2 Follow us on Twitter: twitter.com/SCPDataPodcast Like us on Facebook: www.facebook.com/scpdatapodcast Questions or comments? Email us at SCPDataPodcast@gmail.com
Software Engineering Radio - The Podcast for Professional Software Developers
Kacper Łukawski, a Senior Developer Advocate at Qdrant, speaks with host Gregory M. Kapfhammer about the Qdrant vector database and similarity search engine. After introducing vector databases and the foundational concepts undergirding similarity search, they dive deep into the Rust-based implementation of Qdrant. Along with comparing and contrasting different vector databases, they also explore the best practices for the performance evaluation of systems like Qdrant. Kacper and Gregory also discuss topics such as the steps for using Python to build an AI-powered application that uses Qdrant. Brought to you by IEEE Computer Society and IEEE Software magazine.
Key Highlights:00:00 – Introduction01:05 – Optimizing tech stacks and increasing valuation03:17 – Defining client loyalty and retention04:23 – How CRMs improve onboarding, notes, and communication06:39 – Using data to strengthen relationships and trust08:23 – How to future-proof your advisory business10:12 – Building data hygiene and integrated systems16:59 – Finding efficiency gaps and scaling intelligently17:22 – The compounding power of technology19:06 – Advisor transitions, CRM agnosticism, and closing thoughtsResources:Elite Consulting Partners | Financial Advisor Transitions: https://eliteconsultingpartners.comElite Marketing Concepts | Marketing Services for Financial Advisors: https://elitemarketingconcepts.comElite Advisor Successions | Advisor Mergers and Acquisitions: https://eliteadvisorsuccessions.comJEDI Database Solutions | Data Intelligence for Advisors: https://jedidatabasesolutions.comListen to more Advisor Talk episodes: https://eliteconsultingpartners.com/podcasts/Follow us on LinkedIn: https://linkedin.com/company/eliteconsultingpartners
Obscure college scholarships are gold, at least if parents trust your data. In this episode we design a subscription, ROI guarantee, and tech stack that can turn a spreadsheet into monthly income. Side Hustle School features a new episode EVERY DAY, featuring detailed case studies of people who earn extra money without quitting their job. This year, the show includes free guided lessons and listener Q&A several days each week. Show notes: SideHustleSchool.com Email: team@sidehustleschool.com Be on the show: SideHustleSchool.com/questions Connect on Instagram: @193countries Visit Chris's main site: ChrisGuillebeau.com Read A Year of Mental Health: yearofmentalhealth.com If you're enjoying the show, please pass it along! It's free and has been published every single day since January 1, 2017. We're also very grateful for your five-star ratings—it shows that people are listening and looking forward to new episodes.