Podcasts about MongoDB

Jessica Zwaan and Joris Luijke joined us to break down the what, why, and how to create an employee journey map. We talked about why People teams should be designing for moments and not just processes, why journey mapping should start small, and why 80% of employee moments fall flat.---- Sponsor Links:

Every year the core developers of Python convene in person to focus on high priority topics for CPython and beyond. This year they met at PyCon US 2025. Those meetings are closed door to keep focused and productive. But we're lucky that Seth Michael Larson was in attendance and wrote up each topic presented and the reactions and feedback to each. We'll be exploring this year's Language Summit with Seth. It's quite insightful to where Python is going and the pressing matters. Episode sponsors Seer: AI Debugging, Code TALKPYTHON Sentry AI Monitoring, Code TALKPYTHON Talk Python Courses Links from the show Seth on Mastodon: @sethmlarson@fosstodon.org Seth on Twitter: @sethmlarson Seth on Github: github.com Python Language Summit 2025: pyfound.blogspot.com WheelNext: wheelnext.dev Free-Threaded Wheels: hugovk.github.io Free-Threaded Python Compatibility Tracking: py-free-threading.github.io PEP 779: Criteria for supported status for free-threaded Python: discuss.python.org PyPI Data: py-code.org Senior Engineer tries Vibe Coding: youtube.com Watch this episode on YouTube: youtube.com Episode #514 deep-dive: talkpython.fm/514 Episode transcripts: talkpython.fm Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

Why do people list to this podcast? Sure, they're looking for technical explorations of new libraries and ideas. But often it's to hear the story behind them. If that speaks to you, then I have the perfect episode lined up. I have Barry Warsaw, Paul Everitt, Carol Willing, and Brett Cannon all back on the show to share stories from the history of Python. You'll hear about how import this came to be and how the first PyCon had around 30 attendees (two of whom are guests on this episode!). Sit back and enjoy the humorous stories from Python's past. Episode sponsors Posit Agntcy Talk Python Courses Links from the show Barry's Zen of Python song: youtube.com Jake Vanderplas - Keynote - PyCon 2017: youtube.com Why it's called “Python” (Monty Python fan-reference): geeksforgeeks.org import antigravity: python-history.blogspot.com NIST Python Workshop Attendees: legacy.python.org Paul Everitt open-sources Zope: old.zope.dev Carol Willing wins ACM Software System Award: awards.acm.org Watch this episode on YouTube: youtube.com Episode #513 deep-dive: talkpython.fm/513 Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

Jarvio, the Dublin start-up that puts an AI operator behind every Amazon storefront, has raised €1.5 million in pre-seed funding. Backers include senior executives from Amazon, Target, Wayflyer, Meta and MongoDB; Brian Caulfield and HBAN angel investors; and institutional investors Darius Cubed, Baseline VC, Enterprise Ireland, NDRC and an Accel Scout Fund. The funding will accelerate engineering hires, automation development and U.S. expansion. It follows strong traction in Jarvio's private beta, where more than 650 brands have joined the waitlist in recent months. Rick Kelley, HBAN angel investor, said, "I'm delighted to support the Jarvio team who are helping businesses overcome the friction that comes with enabling e-commerce on Amazon, the largest platform in the world. As Amazon continues to be on nearly every phone in the western world, Jarvio will help merchants drive success." The journey began with Jake Ryan and Connor Mulholland, who met at University College Dublin and later launched a boutique Amazon agency after flipping everything from plastic dinosaurs to 12,000 candles during the pandemic. After years of manually solving the same operational challenges for clients, they realised the answer wasn't more services -it was smarter software. "eCommerce brands shouldn't have to juggle dashboards or get buried in fragmented tools just to grow," said Ryan, co-founder and CEO. " Jarvio gives teams their time back and lets them focus on what really matters, growing the business, not managing the chaos." The pain point is clear: most Amazon merchants rely on a maze of disconnected apps to run their business - wasting time, obscuring data, stalling scale, and driving up staffing costs. Jarvio offers a new model. More than just an Amazon tool, it acts as the hub for your entire eCommerce operation. It integrates with everything from marketplace software to Gmail, Slack, and task managers - bringing all your operations and workflows into one place. No more switching tabs or stitching together tools. Just one prompt-driven interface to run your business. "We're not building another tool to put in the box of eCommerce tools," Mulholland added. "We're building the box." In 2024, JD O'Hea joined as co-founder and CTO to chart Jarvio's AI roadmap. With deep expertise in AI, machine learning, and eCommerce, O'Hea set out a technical vision for a platform designed to redefine how eCommerce brands operate. Alongside founding engineer Joseph Tummon, they kicked off development of what's now Jarvio's AI foundation. Since then, the team has built relentlessly: through late nights in Dogpatch Labs, a stint in a San Francisco hacker house, and now, as part of the NDRC Accelerator and with €1.5m in fresh funding, they're scaling Jarvio into the operating system for modern eCommerce. See more stories here. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using whatever platform you like via our Anchor.fm page here: https://anchor.fm/irish-tech-news If you'd like to be featured in an upcoming Podcast email us at Simon@IrishTechNews.ie now to discuss. Irish Tech News have a range of services available to help promote your business. Why not drop us a line at Info@IrishTechNews.ie now to find out more about how we can help you reach our audience. You can also find and follow us on Twitter, LinkedIn, Facebook, Instagram, TikTok and Snapchat.

How do successful product leaders navigate rapid technological change while maintaining a customer-centric approach? In this episode of the CPO Rising Series hosted by Products That Count Resident CPO Renee Niemi, MongoDB Chief Product Officer Sahir Azam will be speaking on transforming product strategy in the age of AI and cloud innovation. Sahir shares insights from MongoDB's journey of transitioning from an open-source database company to a cloud services leader, offering a masterclass in strategic product leadership.

Maor Shlomo is the founder of Base44, an AI-powered app builder that he bootstrapped to an over $80 million acquisition by Wix in just six months. As a solo founder (with severe ADHD), he hit $1 million ARR just three weeks after launch and grew the product to more than 400,000 users, all while navigating two wars in Israel and never raising a dollar of outside funding.What you'll learn:1. The growth playbook that took Base44 from three friends to 400,000 users without spending any money on marketing2. How he hasn't written a single line of front-end code in three months—and how to structure your code repository to make it easier for AI to write your code3. His AI productivity stack that allowed him to compete against heavily funded competitors4. Why being a solo founder in AI might be the ultimate advantage (and the wedding story that almost killed the business)5. The story of signing the $80M acquisition deal while war broke out with Iran6. How to identify when to sell vs. stay independent (and why Maor chose acquisition despite being highly profitable)7. The counterintuitive product decision that tripled activation by removing a “helpful” feature8. How building in public on LinkedIn drove more growth than any paid channel—Brought to you by:Sauce—Turn customer pain into product revenue: https://sauce.app/lennyDscout—The UX platform to capture insights at every stage: from ideation to production: https://www.dscout.com/Contentsquare—Create better digital experiences: https://contentsquare.com/lenny/—Transcript: ⁠https://www.lennysnewsletter.com/p/the-base44-bootstrapped-startup-success-story-maor-shlomo⁠—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/167384119/my-biggest-takeaways-from-this-conversation—Where to find Maor Shlomo:• X: https://x.com/ms_base44• LinkedIn: https://www.linkedin.com/in/maor-shlomo-1088b4144/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Maor and Base44(08:16) The origin story: how Base44 came to be(14:55) Bootstrapping and solo founding: challenges and insights(22:52) Productivity hacks and tech stack for solo founders(27:23) How to get started using Base44(28:47) Thoughts on raising money(34:05) Distribution in the age of AI(36:09) Ambition and goals(40:05) Growth strategies: from first users to thousands(51:32) Building in public(57:42) The solo founder journey(01:00:23) Community support(01:03:23) Hackathons and partnerships(01:06:42) The importance of velocity in product development(01:08:20) Technical stack and infrastructure insights(01:15:24) Activation lessons(01:18:19) The acquisition journey with Wix(01:25:14) Final thoughts and advice for founders—Referenced:• Base44: https://base44.com/• Retool: https://retool.com/• Tzofim: https://www.israelscouts.org/• Y Combinator: https://www.ycombinator.com/• RescueTime: https://www.rescuetime.com/• Cursor: https://www.cursor.com/• Wix: https://www.wix.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Snowflake: https://www.snowflake.com• Yoav Orlev on LinkedIn: https://www.linkedin.com/in/yoav-orlev-4a044b72• WhatsApp: https://www.whatsapp.com/• Amazon: https://www.amazon.com/• Google: https://about.google/• MongoDB: https://www.mongodb.com/• Deloitte: https://www.deloitte.com/• Render: Render.com• Claude 4: https://www.anthropic.com/news/claude-4• Gemini: https://gemini.google.com/app• Cloudflare: https://www.cloudflare.com/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Do you like to dive into the details and intricacies of how Python executes and how we can optimize it? Well, do I have an episode for you. We welcome back Brandt Bucher to give us an update on the upcoming JIT compiler for Python and why it differs from JITs for languages such as C# and Java. Episode sponsors Posit Talk Python Courses Links from the show Brandt Bucher: github.com/brandtbucher PyCon Talk: What they don't tell you about building a JIT compiler for CPython: youtube.com Specializing, Adaptive Interpreter Episode: talkpython.fm Watch this episode on YouTube: youtube.com Episode #512 deep-dive: talkpython.fm/512 Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

Ian SpandauI rescue dogs and salespeople!Ian Spandow is a seasoned Enablement Leader & Sales Trainer with extensive global and intercultural expertise and over 35 years of experience.He has a proven track record of upskilling Sales Teams to high-performance through his unique and somewhat radical sales training. Ian has held several leadership roles in the technology industry, including Director of Sales Training & Enablement at Riverbed, Senior Director of Sales Training & Enablement at Marin Software, and Director of Training & Development at MongoDB and Global Field Readiness Leader at WalkMe. Hosted on Acast. See acast.com/privacy for more information.

Neste episódio, exploramos o MongoDB além do básico, focando nas tendências e práticas avançadas que estão moldando o futuro dos bancos de dados NoSQL. Conversamos com Jhonathan Soares sobre como usar MongoDB como sistema de cache, os desafios do Teorema de CAP em ambientes distribuídos, e as novas possibilidades de integração com inteligência artificial através de dados vetoriais e o protocolo MCP. Conheça o AI Agent do Mongodb. Assuntos abordados no tema Mongo como cache Teorema de CAP (breve menção) Melhor integração com inteligência artificial e dados vetoriais. Protocolo MCP Expansão de capacidades serverless via MongoDB Atlas. Read Secondary: cenários ideais para utilização Armadilhas comuns em dados inconsistentes Query pipelines cada vez mais sofisticados, substituindo ferramentas de ETL Edge computing com Mongo embutido em dispositivos (Realm). Maior uso de BSON + JSON Schema para validação automática. O que a IA deveria fazer com o Mongodb Links úteis Nosso Discord: https://discord.com/invite/hGpFPsV2gB Café Debug globalhttps://open.spotify.com/show/3S1OK2ecjZj7zoaZ34bFkP?si=ae09a6a1796a4587 Patrocinadora do programa https://king.host/ https://www.mongodb.com/products/tools/compass https://learn.mongodb.com/ https://dev-aditya.medium.com/understanding-temporary-inconsistency-in-mongodb-during-network-partitions-causes-and-solutions-7ab418a76ac5 https://www.educative.io/blog/what-is-cap-theorem https://openai.com/codex/ https://github.com/modelcontextprotocol https://www.mongodb.com/docs/manual/mcp/ https://www.mongodb.com/resources/basics/json-and-bson https://www.mongodb.com/pt-br/docs/atlas/architecture/current/solutions-library/manufacturing-agentic-ai-framework/ Participantes Jéssica Nathany (Software Developer e host)LinkedIn: https://www.linkedin.com/in/jessica-nathany-carvalho-freitas-38260868/ Weslley Fratini (Software Developer e co-host)LinkedIn: https://www.linkedin.com/in/weslley-fratini/Jonathan Soares (Senior Project Leader no Mercado Livre e Criador de Conteúdo do Código Simples) Linkedin:https://www.linkedin.com/in/jhonathansoares/Codigo simples: https://codigosimples.net/ Produtora AGO Filmes: https://thiagocarvalhofotografia.wordpress.com/dúvidas, sugestões ou anúncios envie para: debugcafe@gmail.comSee omnystudio.com/listener for privacy information.

If you're doing data science and have mostly spent your time doing exploratory or just local development, this could be the episode for you. We are joined by Catherine Nelson to discuss techniques and tools to move your data science game from local notebooks to full-on production workflows. Episode sponsors Agntcy Sentry Error Monitoring, Code TALKPYTHON Talk Python Courses Links from the show New Course: LLM Building Blocks for Python: training.talkpython.fm Catherine Nelson LinkedIn Profile: linkedin.com Catherine Nelson Bluesky Profile: bsky.app Enter to win the book: forms.google.com Going From Notebooks to Scalable Systems - PyCon US 2025: us.pycon.org Going From Notebooks to Scalable Systems - Catherine Nelson – YouTube: youtube.com From Notebooks to Scalable Systems Code Repository: github.com Building Machine Learning Pipelines Book: oreilly.com Software Engineering for Data Scientists Book: oreilly.com Jupytext - Jupyter Notebooks as Markdown Documents: github.com Jupyter nbconvert - Notebook Conversion Tool: github.com Awesome MLOps - Curated List: github.com Watch this episode on YouTube: youtube.com Episode #511 deep-dive: talkpython.fm/511 Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

Are you using Polars for your data science work? Maybe you've been sticking with the tried-and-true Pandas? There are many benefits to Polars directly of course. But you might not be aware of all the excellent tools and libraries that make Polars even better. Examples include Patito which combines Pydantic and Polars for data validation and polars_encryption which adds AES encryption to selected columns. We have Christopher Trudeau back on Talk Python To Me to tell us about his list of excellent libraries to power up your Polars game and we also talk a bit about his new Polars course. Episode sponsors Agntcy Sentry Error Monitoring, Code TALKPYTHON Talk Python Courses Links from the show New Theme Song (Full-Length Download and backstory): talkpython.fm/blog Polars for Power Users Course: training.talkpython.fm Awesome Polars: github.com Polars Visualization with Plotly: docs.pola.rs Dataframely: github.com Patito: github.com polars_iptools: github.com polars-fuzzy-match: github.com Nucleo Fuzzy Matcher: github.com polars-strsim: github.com polars_encryption: github.com polars-xdt: github.com polars_ols: github.com Least Mean Squares Filter in Signal Processing: www.geeksforgeeks.org polars-pairing: github.com Pairing Function: en.wikipedia.org polars_list_utils: github.com Harley Schema Helpers: tomburdge.github.io Marimo Reactive Notebooks Episode: talkpython.fm Marimo: marimo.io Ahoy Narwhals Podcast Episode Links: talkpython.fm Watch this episode on YouTube: youtube.com Episode #510 deep-dive: talkpython.fm/510 Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

On this episode of RevOps Unboxed, Sandy sits down with SK Ramakuru and Chris Hunter of MongoDB. The trio discuss build vs. buy decisions, the influence of AI on RevOps, program-based approaches to RevOps, and more.

Dan Nathan hosts Rishi Jaluria, Managing Director of Software Equity Research at RBC Capital Markets, on the Risk Reversal Podcast to discuss the latest Q1 earnings, AI advancements, and broader market themes. They delve into Microsoft's innovative AI strategies and their significant investments in OpenAI. The conversation highlights the importance of long-term perspectives in evaluating AI monetization and market impacts. Rishi shares insights on the enthusiasm surrounding Oracle's cloud infrastructure (OCI) and its role in the AI landscape, as well as analysis on companies like Salesforce, HubSpot, and MongoDB in the context of their AI and growth strategies. The podcast also explores macroeconomic factors, market sentiments, and the potential implications of geopolitical developments on software businesses. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

Is building the backend for your AI application slowing you down? In this episode of the MongoDB Podcast, host Jesse Hall sits down with Srikar and Jimmy, the creators of Daemo AI, a revolutionary tool designed to eliminate the tedious "plumbing" of backend development.Discover how Daemo AI is building upon deprecated MongoDB features like Realm App Services, creating a more powerful and flexible solution for developers. We dive deep into their tech stack, including Next.js, Deno, and Express , and explore why they chose MongoDB for its speed and flexibility in AI applications. Plus, you'll see a live demo of Daemo's new SDK and CLI , learn how it can generate data migrations and dummy data on the fly , and get a real answer to the big question: Is AI going to take your job? In This Episode, You Will Learn: What Daemo AI is and how it accelerates development. * How to build AI agents and integrate them with frameworks like LangChain. Why MongoDB is the ideal database for rapid-growth startups and AI. The future of developer jobs in the age of AI.

In this episode of Capital for Good we speak with Kevin Ryan, one of New York's leading internet entrepreneurs and investors, and often called the “Godfather of NYC tech.” Ryan is a co-founder of MongoDB, Business Insider, Gilt Groupe, Zola, Pearl Health, and Transcend Therapeutics, and every year founds and invests in new companies through AlleyCorp, the New York based venture fund and incubator. Ryan is also one of New York's driving civic leaders, serving as vice chair of the Partnership for New York City, a founding board member of Tech:NYC, and a gubernatorial appointee to numerous commissions focused on New York's economic and civic health and well-being. We begin with Ryan's early and pioneering days as a 1990s internet entrepreneur. As the president of DoubleClick, he grew the company in two years to 2,000 people across 25 countries, took it public, navigated the dotcom bust and sold it to Google in 2007. We discuss AlleyCorp's unusual model as early-stage investor and incubator, and Ryan describes AlleyCorp's most recent investment vertical, economic infrastructure, focused on the economic mobility of low- or middle-income Americans: “the 80% of families who power our economy.” This has meant identifying and backing entrepreneurs pursuing innovations in health equity, fintech, and workforce development with companies like Patch Caregiving, a first of its kind employer sponsored emergency childcare provider for frontline workers. We also explore the growth and vibrancy of New York's tech industry. New York City is one of the world's fastest growing and most valuable technology hubs, and Ryan explains how and why it powers the local and regional economy, and measures the city and state can take to continue to foster the ecosystem and its critical contributions to New York's dynamism and social fabric. Thanks for Listening! Subscribe to Capital for Good on Apple, Amazon, Google, Spotify, or wherever you get your podcasts. Drop us a line at socialenterprise@gsb.columbia.edu.  Mentioned in this podcast: AlleyCorp Patch Caregiving Partnership for New York City Tech:NYC “Empire AI”: New York State AI Consortium

If you're looking to leverage the insane power of modern GPUs for data science and ML, you might think you'll need to use some low-level programming language such as C++. But the folks over at NVIDIA have been hard at work building Python SDKs which provide nearly native level of performance when doing Pythonic GPU programming. Bryce Adelstein Lelbach is here to tell us about programming your GPU in pure Python. Episode sponsors Posit Agntcy Talk Python Courses Links from the show Bryce Adelstein Lelbach on Twitter: @blelbach Episode Deep Dive write up: talkpython.fm/blog NVIDIA CUDA Python API: github.com Numba (JIT Compiler for Python): numba.pydata.org Applied Data Science Podcast: adspthepodcast.com NVIDIA Accelerated Computing Hub: github.com NVIDIA CUDA Python Math API Documentation: docs.nvidia.com CUDA Cooperative Groups (CCCL): nvidia.github.io Numba CUDA User Guide: nvidia.github.io CUDA Python Core API: nvidia.github.io Numba (JIT Compiler for Python): numba.pydata.org NVIDIA's First Desktop AI PC ($3,000): arstechnica.com Google Colab: colab.research.google.com Compiler Explorer (“Godbolt”): godbolt.org CuPy: github.com RAPIDS User Guide: docs.rapids.ai Watch this episode on YouTube: youtube.com Episode #509 deep-dive: talkpython.fm/509 Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

If you've heard the phrase "Automate the boring things" for Python, this episode starts with that idea and takes it to another level. We have Glyph back on the podcast to talk about "Programming YOUR computer with Python." We dive into a bunch of tools and frameworks and especially spend some time on integrating with existing platform APIs (e.g. macOS's BrowserKit and Window's COM APIs) to build desktop apps in Python that make you happier and more productive. Let's dive in! Episode sponsors Posit Agntcy Talk Python Courses Links from the show Glyph on Mastodon: @glyph@mastodon.social Glyph on GitHub: github.com/glyph Glyph's Conference Talk: LceLUPdIzRs: youtube.com Notify Py: ms7m.github.io Rumps: github.com QuickMacHotkey: pypi.org QuickMacApp: pypi.org LM Studio: lmstudio.ai Coolify: coolify.io PyWin32: pypi.org WinRT: pypi.org PyObjC: pypi.org PyObjC Documentation: pyobjc.readthedocs.io Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

President Trump and Elon Musk's bromance is over. The two sent scathing attacks from their respective social media sites against each other—and Tesla shares tanked. We have you covered with reporting from our Eamon Javers, plus analysis from shareholder Brenda Vingiello, WSJ's Tesla reporter Tim Higgins and analyst Craig Irwin from Roth Capital. Earnings from Lululemon and Broadcom. Plus, interviews with the CEOs of MongoDB and Rubrik as investors continue to look for clues on tariffs impact. 

In this episode of the Revenue Builders Podcast, hosts John McMahon and John Kaplan are joined by Paul Capombassis, Chief Revenue Officer at MongoDB. They discuss Paul's extensive career from PTC to MongoDB, focusing on his strategies for creating high-performance cultures in sales. Paul shares his approach to hiring disruptors over domain experts, the importance of developing leaders from within, and the transformational programs like BDR to CRO that MongoDB has implemented. The conversation also highlights the critical role of adaptability, the significance of leadership authenticity, and the necessity of consistent leader enablement. This episode is rich with insights on how to elevate sales teams and drive company growth.ADDITIONAL RESOURCESLearn more about Paul Capombassis:https://www.linkedin.com/in/paul-capombassis-3684b211/Read Force Management's Guide to Embedding AI In Your B2B Sales Organization: https://hubs.li/Q03ldrzD0Download the CRO Strategy Checklist: https://hubs.li/Q03f8LmX0Enjoying the podcast? Sign up to receive new episodes straight to your inbox: https://hubs.li/Q02R10xN0HERE ARE SOME KEY SECTIONS TO CHECK OUT[00:01:59] Building a High-Performance Culture at MongoDB[00:04:45] Characteristics of a Disruptor in Sales[00:06:56] Challenges of Selling Disruptive Technology[00:16:11] Importance of Leadership and Enablement[00:21:57] Adapting to Change in a Fast-Growing Company[00:23:58] Coaching and Developing Leaders[00:30:21] Adapting Leadership for Business Growth[00:31:56] The Importance of Authentic Leadership[00:33:32] Recruitment and Enablement Strategies[00:34:40] Domain Expertise vs. Scaling with Hunters[00:38:22] Leader Development Programs[00:41:51] Challenges in Assessing Team Strengths[00:47:06] Second Line Leadership Responsibilities[00:50:23] Inspiring Through AuthenticityHIGHLIGHT QUOTES"When you lead with authenticity, the value that you get out of that and your organization gets out of that is it's game-changing.""Every time you make a hire... it's a million-dollar bet that you're taking.""Change requires discipline. And discipline is really hard.""High-performing companies set up a great enablement program, not just for your ics, but especially for leader enablement.""Great leaders today are the best coaches.""The best leaders today are the ones that can connect technical capabilities to business outcomes."

In der heutigen Folge sprechen die Finanzjournalisten Anja Ettel und Holger Zschäpitz über einen neuen Dax-Rekord, einen unverhofften Boom bei Wasserstoff und Macherzahlen bei MongoDB. Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts und AAA-Newsletter.[ Hier bei WELT.](https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html.) [Hier] (https://open.spotify.com/playlist/6zxjyJpTMunyYCY6F7vHK1?si=8f6cTnkEQnmSrlMU8Vo6uQ) findest Du die Samstagsfolgen Klassiker-Playlist auf Spotify! Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. Außerdem bei WELT: Im werktäglichen Podcast „Das bringt der Tag“ geben wir Ihnen im Gespräch mit WELT-Experten die wichtigsten Hintergrundinformationen zu einem politischen Top-Thema des Tages. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? [**Hier findest du alle Infos & Rabatte!**](https://linktr.ee/alles_auf_aktien) Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

MongoDB und Five Below werden nach den soliden Zahlen und Aussichten fest in den Tag starten. Zahlreiche Analysten heben die Kursziele an. Wie dem auch sei, trübt sich der Himmel über der Wirtschaft im Mai zunehmend ein. Wir sehen das auch anhand des Rückgangs der Renditen langlaufender Staatsanleihen. Nahezu alle Wirtschaftsdaten fielen diese Woche schwach aus. Die Erstanträge für Arbeitslosenhilfe liegen heute ebenfalls über den Zielen. Das Beige Book, die Autoverkäufe, der ISM-Einkaufsmanager Index der Dienstleister und die Daten von ADP und Challenger Gray lagen allesamt unter den Zielen. Gewinnmitnahmen im Vorfeld der Arbeitsmarktdaten am Freitag werden zunehmend wahrscheinlich. Abonniere den Podcast, um keine Folge zu verpassen! ____ Folge uns, um auf dem Laufenden zu bleiben: • X: http://fal.cn/SQtwitter • LinkedIn: http://fal.cn/SQlinkedin • Instagram: http://fal.cn/SQInstagram

MongoDB und Five Below werden nach den soliden Zahlen und Aussichten fest in den Tag starten. Zahlreiche Analysten heben die Kursziele an. Wie dem auch sei, trübt sich der Himmel über der Wirtschaft im Mai zunehmend ein. Wir sehen das auch anhand des Rückgangs der Renditen langlaufender Staatsanleihen. Nahezu alle Wirtschaftsdaten fielen diese Woche schwach aus. Die Erstanträge für Arbeitslosenhilfe liegen heute ebenfalls über den Zielen. Das Beige Book, die Autoverkäufe, der ISM-Einkaufsmanager Index der Dienstleister und die Daten von ADP und Challenger Gray lagen allesamt unter den Zielen. Gewinnmitnahmen im Vorfeld der Arbeitsmarktdaten am Freitag werden zunehmend wahrscheinlich. Ein Podcast - featured by Handelsblatt. +++Erhalte einen exklusiven 15% Rabatt auf Saily eSIM Datentarife! Lade die Saily-App herunter und benutze den Code wallstreet beim Bezahlen: https://saily.com/wallstreet +++ +++EXKLUSIVER NordVPN Deal ➼ https://nordvpn.com/Wallstreet Jetzt risikofrei testen mit einer 30-Tage-Geld-zurück-Garantie!+++ +++ Alle Rabattcodes und Infos zu unseren Werbepartnern findet ihr hier: https://linktr.ee/wallstreet_podcast +++ Der Podcast wird vermarktet durch die Ad Alliance. Die allgemeinen Datenschutzrichtlinien der Ad Alliance finden Sie unter https://datenschutz.ad-alliance.de/podcast.html Die Ad Alliance verarbeitet im Zusammenhang mit dem Angebot die Podcasts-Daten. Wenn Sie der automatischen Übermittlung der Daten widersprechen wollen, klicken Sie hier: https://datenschutz.ad-alliance.de/podcast.html

Bond yields fall after softer ADP employment data, setting the stage for Friday's jobs report. Our Rick Santelli breaks down the move, with Mike Santoli offering his take on what it means for markets. Adam Crisafulli of Vital Knowledge weighs in on jobs, the Fed, and the rate outlook. Earnings from Five Below, PVH, and MongoDB take center stage. Marko Papic of BCA Research discusses the implications of an expected Trump-Xi call on U.S.-China trade. Jim Paulsen joins to discuss the wave of strategists lifting their S&P 500 targets. Brent Thill of Jefferies and Gil Luria of DA Davidson go head-to-head in a CoreWeave valuation debate. 

If you want to leverage the power of LLMs in your Python apps, you would be wise to consider an agentic framework. Agentic empowers the LLMs to use tools and take further action based on what it has learned at that point. And frameworks provide all the necessary building blocks to weave these into your apps with features like long-term memory and durable resumability. I'm excited to have Sydney Runkle back on the podcast to dive into building Python apps with LangChain and LangGraph. Episode sponsors Posit Auth0 Talk Python Courses Links from the show Sydney Runkle: linkedin.com LangGraph: github.com LangChain: langchain.com LangGraph Studio: github.com LangGraph (Web): langchain.com LangGraph Tutorials Introduction: langchain-ai.github.io How to Think About Agent Frameworks: blog.langchain.dev Human in the Loop Concept: langchain-ai.github.io GPT-4 Prompting Guide: cookbook.openai.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

From MongoDB to Founder: How Deirdre Spillane bet on Herself Description In this episode of The Playbook Universe, we sit down with Deirdre Spillane, co-founder of Selr.ai and former sales leader at MongoDB and Segment. She shares her incredible journey—from building high-performing teams in one of the most feared sales orgs in tech, to stepping into the unknown and launching her own company. We dive into the power of coaching, the danger of drowning in data, and why understanding the “why” behind people's actions is everything. If you're in sales, leadership, or considering your next bold career move—this is your playbook.

On this episode of RevOps Unboxed, Sandy sits down with SK Ramakuru and Chris Hunter of MongoDB. The trio discuss build vs. buy decisions, the influence of AI on RevOps, program-based approaches to RevOps, and more.

Episode 382 of The @Venturefizz Podcast features Abe Murray, General Partner at AlleyCorp. I recently had Matthias Hofmann, the Co-Founder & CEO of Eyebot on the podcast and when I was doing my research on the company, I realized that their recent investment from AlleyCorp was led by one of their partners who was located in the Boston area. It made me pause, as I didn't realize that AlleyCorp had someone in the local Boston area. If you are not familiar with AlleyCorp, it is the venture fund started by Kevin Ryan who is a tech icon in NYC. Kevin led DoubleClick's growth to an IPO and acquisition by Google. He's also a co-founder of MongoDB, Business Insider, Zola, Gilt Groupe, and many others. AlleyCorp was backed as a family office by Kevin until last year when it became an institutional VC firm through the announcement of its $250M Fund I which includes outside LPs for the first time. Abe is leading AlleyCorp's deep tech investments, so it just makes sense that he is based in the the Boston area, as there is such a high concentration of innovation and companies in the Northeast. In this episode of our podcast, we cover: * Abe's background story which includes dropping out of high school to run fishing boats & factories in the family aquaculture business and the importance of growing up with a chip on your shoulder. * Starting his career at BAE Systems where he worked on Generative AI and advanced technologies for the defense industry. * Going to Harvard Business School and working on a startup called Doodbleboard, an online whiteboard. * Landing at Google, then later Alphabet, where he worked on various AI/ML initiatives, as well as the Android mobile team with Rich Miner. * Taking on the healthcare industry and leading the Boston office for Verily, an Alphabet company. * Getting into angel investing and how he landed at AlleyCorp. * All the details about AlleyCorp and the investments they are making across the firm, plus the specifics about what Abe is targeting. * The importance of storytelling and advice on how to get great at it. * And so much more. Eyebot interview: https://venturefizz.com/insights/episode-368-matthias-hofmann-co-founder-ceo-of-eyebot/

The folks over at Astral have made some big-time impacts in the Python space with uv and ruff. They are back with another amazing project named ty. You may have known it as Red-Knot. But it's coming up on release time for the first version and with the release it comes with a new official name: ty. We have Charlie Marsh and Carl Meyer on the show to tell us all about this new project. Episode sponsors Posit Auth0 Talk Python Courses Links from the show Talk Python's Rock Solid Python: Type Hints & Modern Tools (Pydantic, FastAPI, and More) Course: training.talkpython.fm Charlie Marsh on Twitter: @charliermarsh Charlie Marsh on Mastodon: @charliermarsh Carl Meyer: @carljm ty on Github: github.com/astral-sh/ty A Very Early Play with Astral's Red Knot Static Type Checker: app.daily.dev Will Red Knot be a drop-in replacement for mypy or pyright?: github.com Hacker News Announcement: news.ycombinator.com Early Explorations of Astral's Red Knot Type Checker: pydevtools.com Astral's Blog: astral.sh Rust Analyzer Salsa Docs: docs.rs Ruff Open Issues (label: red-knot): github.com Ruff Types: types.ruff.rs Ruff Docs (Astral): docs.astral.sh uv Repository: github.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

Is waiting months for employee feedback a thing of the past? Dive into the future of work with Shane McAllister and L10 founders, Zyrian Chung and Keith Chan. Discover how their AI-powered platform collects daily insights to transform workplace culture, empower managers, and address issues like silent quitting before they escalate. Learn how real-time feedback and AI can create more engaged and productive teams, and get a peek into the tech (including MongoDB) that makes it possible. Stop guessing, start understanding your team today!TAGs:#EmployeeEngagement, #AIinHR, #WorkplaceCulture, #FutureofWork, #EmployeeFeedback, #RealTimeInsights, #TeamManagement, #Leadership, #HRTechnology, #MongoDB, #L10, #ZyrianChung, #KeithChan, #SilentQuitting, #EmployeeMorale, #TeamProductivity, #PerformanceManagement, #AITools, #EmployeeSurveys, #PeopleAnalytics

In der heutigen Folge von „Alles auf Aktien“ sprechen die Finanzjournalisten Philipp Vetter und Holger Zschäpitz über zwei gelungene Börsengänge, einen weiteren Tiefschlag für Bayer und einen Absturz bei Tui. Außerdem geht es um Etoro, Pfisterer Holding, Super Micro, AMD, Nvidia, Coreweave, Cisco, Eon, Daimler Truck, Brenntag, Renk, Hapag Lloyd, Baidu, WeRide, Uber, General Motors, Mercedes-Benz, BMW, Volkswagen, Pony.AI, Momenta Technology, Tesla, Alphabet, Archer Aviation, Marvell Technology, Broadcom, The Trade Desk, Datadog, MongoDB, Adobe, Diamondback Energy, Regeneron Pharmaceuticals, Warner Bros Discovery, Rheinmetall, Siemens Energy. Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts und AAA-Newsletter.[ Hier bei WELT.](https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html.) [Hier] (https://open.spotify.com/playlist/6zxjyJpTMunyYCY6F7vHK1?si=8f6cTnkEQnmSrlMU8Vo6uQ) findest Du die Samstagsfolgen Klassiker-Playlist auf Spotify! Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. Außerdem bei WELT: Im werktäglichen Podcast „Das bringt der Tag“ geben wir Ihnen im Gespräch mit WELT-Experten die wichtigsten Hintergrundinformationen zu einem politischen Top-Thema des Tages. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? [**Hier findest du alle Infos & Rabatte!**](https://linktr.ee/alles_auf_aktien) Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Python has many string formatting styles which have been added to the language over the years. Early Python used the % operator to injected formatted values into strings. And we have string.format() which offers several powerful styles. Both were verbose and indirect, so f-strings were added in Python 3.6. But these f-strings lacked security features (think little bobby tables) and they manifested as fully-formed strings to runtime code. Today we talk about the next evolution of Python string formatting for advanced use-cases (SQL, HTML, DSLs, etc): t-strings. We have Paul Everitt, David Peck, and Jim Baker on the show to introduce this upcoming new language feature. Episode sponsors Posit Auth0 Talk Python Courses Links from the show Guests: Paul on X: @paulweveritt Paul on Mastodon: @pauleveritt@fosstodon.org Dave Peck on Github: github.com Jim Baker: github.com PEP 750 – Template Strings: peps.python.org tdom - Placeholder for future library on PyPI using PEP 750 t-strings: github.com PEP 750: Tag Strings For Writing Domain-Specific Languages: discuss.python.org How To Teach This: peps.python.org PEP 501 – General purpose template literal strings: peps.python.org Python's new t-strings: davepeck.org PyFormat: Using % and .format() for great good!: pyformat.info flynt: A tool to automatically convert old string literal formatting to f-strings: github.com Examples of using t-strings as defined in PEP 750: github.com htm.py issue: github.com Exploits of a Mom: xkcd.com pyparsing: github.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

How does a trek to K2 base camp in the Himalayas spark the idea for a database company? In Episode 27 of Talking Postgres with Claire Giordano, guest Peter Farkas—CEO and co-founder of FerretDB—shares the origin story of this open source MongoDB alternative. (Spoiler: “Ferret” wasn't the original name). We dig into why Postgres was the obvious choice, what “true open source” means to Peter, and how FerretDB is now powered by the open source DocumentDB extension from Microsoft. Plus, why Hungarian Trappist cheese might deserve a footnote in database history. Links mentioned in this episode:GitHub: FerretDB/FerretDB repoBlog: FerretDB 2.0 GA: Open Source MongoDB alternative, ready for productionACM SIGMOD: The Design of Postgres, published 15 June 1986Postgres Weekly: Issue 591 featuring FerretDBGitHub: Microsoft/DocumentDB open source repoConference talk: From MongoDB to Postgres: Building an Open Standard for Document Databases at POSETTE 2025OSI Blog: The SSL is Not an Open Source LicenseRedMonk Blog: OSS: Two Steps Forward, One Step Back, by Stephen O'GradyTalking Postgres Ep18: How I got started as a developer (& in Postgres) with David RowleyOpenDocDB: initiative to define an open standardWikipedia: K2 (yes, the mountain)Go Blog: The Go Gopherxkcd: webcomic 927 on StandardsWikipedia: Trappista cheeseCal invite: LIVE recording of Ep28 of Talking Postgres to happen on Wed Jun 18, 2025 

In this episode of the Insurtech Leadership Podcast, host Joshua Hollander speaks with Ali Azhar, Chief Business Development Officer at Hover, a leading prop-tech and insurtech company leveraging advanced AI and 3D spatial data to streamline property assessments and claims processes. Ali shares his remarkable personal journey—from childhood entrepreneurial efforts driven by "altruistic capitalism" to founding and scaling tech companies, including ScholarshipExperts.com, and his pivot into software sales following an impactful business failure. His candid reflections offer valuable insights into resilience, reinvention, and leadership. Ali also explains Hover's groundbreaking technology, initially developed from military-inspired photogrammetry, and details how contractors "Trojan-horsed" Hover into the insurance industry. With over 10 million properties modeled, Hover's innovative approach significantly improves accuracy, reduces manual errors, and supports digital transformation across insurance and construction. In This Episode: [02:19] Ali's entrepreneurial roots and how overcoming business failure led to career reinvention. [11:33] Hover's unique technology origin story and entry into the insurance market. [20:37] Why user experience and adjuster adoption are central to Hover's growth. [22:40] Hover's aggressive investment in innovation—allocating 50% of revenue to R&D. [25:33] The evolution of Hover's interior claims automation from challenging beginnings to industry-leading solution. [29:39] Critical advice for insurtech startups: Be an innovation partner, not just a vendor. Notable Quotes: “Insurance carriers are not technology businesses—they're risk aversion experts. We have to meet them where they are.” [32:49] “The thing that always helped separate me from anyone else was I was willing to do more than what was asked.” [00:08:55] “Our bread and butter has been the exterior scoping solution. Over 10 years, we've modeled over 10 million properties.” [00:23:14] About Our Guest:   Ali Azhar is a sales and business development leader with a proven track record of driving exponential revenue growth at companies like HOVER, GoodData, and MongoDB. A serial entrepreneur, he co-founded ventures like ScholarshipExperts.com and Velocity Athletics. Known for scaling teams, adding thousands of customers, and executing high-impact strategies, Ali combines hands-on startup experience with corporate leadership. He holds a degree in Management and Marketing from the University of North Florida and champions "altruistic capitalism" in business. Resources: Ali Azhar https://www.linkedin.com/in/aazhar/ https://hover.to/ Josh Hollander https://www.linkedin.com/in/joshuarhollander/ https://www.horton-usa.com/ https://www.linkedin.com/showcase/insurtech-leadership-show/?viewAsMember=true https://www.insurtechassociation.org/ https://innsure.org/  

What trends and technologies should you be paying attention to today? Are there hot new database servers you should check out? Or will that just be a flash in the pan? I love these forward looking episodes and this one is super fun. I've put together an amazing panel: Gina Häußge, Ines Montani, Richard Campbell, and Calvin Hendryx-Parker. We dive into the recent Stack Overflow Developer survey results as a sounding board for our thoughts on rising and falling trends in the Python and broader developer space. Episode sponsors NordLayer Auth0 Talk Python Courses Links from the show The Stack Overflow Survey Results: survey.stackoverflow.co/2024 Panelists Gina Häußge: chaos.social/@foosel Ines Montani: ines.io Richard Campbell: about.me/richard.campbell Calvin Hendryx-Parker: github.com/calvinhp Explosion: explosion.ai spaCy: spacy.io OctoPrint: octoprint.org .NET Rocks: dotnetrocks.com Six Feet Up: sixfeetup.com Stack Overflow: stackoverflow.com Python.org: python.org GitHub Copilot: github.com OpenAI ChatGPT: chat.openai.com Claude: anthropic.com LM Studio: lmstudio.ai Hetzner: hetzner.com Docker: docker.com Aider Chat: github.com Goose AI: goose.ai IndyPy: indypy.org OctoPrint Community Forum: community.octoprint.org spaCy GitHub: github.com Hugging Face: huggingface.co Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

✨ Heads up! This episode features a demonstration of the SnapLogic UI and its AI Agent Creator towards the end. For the full visual experience, check out the video version on the Spotify app! ✨(Episode Summary)Tired of tangled data spread across multiple clouds, on-premise systems, and the edge? In this episode, MongoDB's Shane McAllister sits down with Peter Ngai, Principal Architect at SnapLogic, to explore the future of data integration and management in today's complex tech landscape.Dive into the challenges and solutions surrounding modern data architecture, including:Navigating the complexities of multi-cloud and hybrid cloud environments.The secrets to building flexible, resilient data ecosystems that avoid vendor lock-in.Strategies for seamless data integration and connecting disparate applications using low-code/no-code platforms like SnapLogic.Meeting critical data compliance, security, and sovereignty demands (think GDPR, HIPAA, etc.).How AI is revolutionizing data automation and providing faster access to insights (featuring SnapLogic's Agent Creator).The powerful synergy between SnapLogic and MongoDB, leveraging MongoDB both internally and for customer integrations.Real-world applications, from IoT data processing to simplifying enterprise workflows.Whether you're an IT leader, data engineer, business analyst, or simply curious about cloud strategy, iPaaS solutions, AI in business, or simplifying your data stack, Peter offers invaluable insights into making data connectivity a driver, not a barrier, for innovation.-Keywords: Data Integration, Multi-Cloud, Hybrid Cloud, Edge Computing, SnapLogic, MongoDB, AI, Artificial Intelligence, Data Automation, iPaaS, Low-Code, No-Code, Data Architecture, Data Management, Cloud Data, Enterprise Data, API Integration, Data Compliance, Data Sovereignty, Data Security, Business Automation, ETL, ELT, Tech Stack Simplification, Peter Ngai, Shane McAllister.

In this episode of the Revenue Builders Podcast, hosts John McMahon and John Kaplan are joined by Marcello Gallo, Chief Revenue Officer at Sigma Computing. The discussion dives into Marcello's extensive experience in enterprise sales leadership, including his non-traditional path, lessons from leading roles at various companies, and the importance of structure, mentorship, and continuous learning. Marcello shares valuable insights on transitioning from technical roles to sales, territory management, and the significance of aligning with customer needs to drive value. The conversation also emphasizes the importance of having a growth mindset, understanding customer environments, and leveraging product-market fit for sustained success.ADDITIONAL RESOURCESLearn more about Marcello Gallo:https://www.linkedin.com/in/gallomarcello/Download the CRO Strategy Checklist: https://hubs.li/Q03f8LmX0Read Force Management's Guide to Increasing Company Valuation: https://hubs.li/Q038n0jT0Enjoying the podcast? Sign up to receive new episodes straight to your inbox: https://hubs.li/Q02R10xN0HERE ARE SOME KEY SECTIONS TO CHECK OUT[00:01:53] Marcello's Journey into Enterprise Sales[00:08:13] The Importance of Structure in Sales[00:28:37] Navigating Major Accounts and Complex Sales[00:34:32] Understanding the Champion's Role in Sales[00:35:15] Building Strong Relationships with Champions[00:37:59] The Importance of Predicting and Preparing for Objections[00:39:14] Role-Playing and Preparation Techniques[00:40:05] Leadership and Helping Teams Get Unstuck[00:42:03] Lessons from Climbing the Corporate Ladder[00:43:21] The Value of Enablement and Territory Management[00:46:20] Adapting to Market Changes and Customer Feedback[00:53:59] Choosing the Right Opportunities and Taking Risks[01:04:50] Sigma Computing's Growth and OpportunitiesHIGHLIGHT QUOTES“If you can't bet on yourself, who can you bet on?"“Knowledge is courage.”“You get delegated to those that you sound like.”“Hire the people commensurate to the territory that you have open.”“Don't confuse position with opportunity.”

Pandas is at a the core of virtually all data science done in Python, that is virtually all data science. Since it's beginning, Pandas has been based upon numpy. But changes are afoot to update those internals and you can now optionally use PyArrow. PyArrow comes with a ton of benefits including it's columnar format which makes answering analytical questions faster, support for a range of high performance file formats, inter-machine data streaming, faster file IO and more. Reuven Lerner is here to give us the low-down on the PyArrow revolution. Episode sponsors NordLayer Auth0 Talk Python Courses Links from the show Reuven: github.com/reuven Apache Arrow: github.com Parquet: parquet.apache.org Feather format: arrow.apache.org Python Workout Book: manning.com Pandas Workout Book: manning.com Pandas: pandas.pydata.org PyArrow CSV docs: arrow.apache.org Future string inference in Pandas: pandas.pydata.org Pandas NA/nullable dtypes: pandas.pydata.org Pandas `.iloc` indexing: pandas.pydata.org DuckDB: duckdb.org Pandas user guide: pandas.pydata.org Pandas GitHub issues: github.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

**(Note: Spotify listeners can also watch the screen sharing video accompanying the audio. Other podcast platforms offer the audio-only version.)**In this episode of MongoDB Podcast Live, host Shane McAllister is joined by Sachin Hejip from Dataworkz. Sachin will showcase “Dataworkz Agent Builder” which is built with MongoDB Atlas Vector Search, and demonstrate how it can use Natural Language to create Agents and in turn, automate and simplify the creation of Agentic RAG applications. Sachin will demo the MongoDB Leafy Portal Chatbot Agent, which combines operational data with unstructured data for personalised customer experience and support, built using Dataworkz and MongoDB.Struggling with millions of unstructured documents, legacy records, or scattered data formats? Discover how AI, Large Language Models (LLMs), and MongoDB are revolutionizing data management in this episode of the MongoDB Podcast.Join host Shane McAllister and the team as they delve into tackling complex data challenges using cutting-edge technology. Learn how MongoDB Atlas Vector Search enables powerful semantic search and Retrieval Augmented Generation (RAG) applications, transforming chaotic information into valuable insights. Explore integrations with popular frameworks like Langchain and Llama Index.Find out how to efficiently process and make sense of your unstructured data, potentially saving significant costs and unlocking new possibilities.Ready to dive deeper?#MongoDB #AI #LLM #LargeLanguageModels #VectorSearch #AtlasVectorSearch #UnstructuredData #Podcast #DataManagement #Dataworkz #Observability #Developer #BigData #RAG

In this week's episode of The Future of Security Operations podcast, Thomas is joined by Mark Hillick, CISO at Brex. Mark's experience in the security industry spans more than two decades. He started out as a security engineer at Allied Irish Banks before advancing through companies like MongoDB to become Director and Head of Security at Riot Games. His book, The Security Path, features over 70 interviews with security professionals on their career journeys. In this episode: [02:06] His early career journey - from a mathematics background to building early online banking systems [03:32] What's kept Mark excited about security for over two decades [04:40] The compound benefits of growing within a company over time [07:20] Mark's leadership style - defined by transparency, directness, and genuine care for his teammates [12:45] Communicating the business trade-off between risk and return [16:45] Reflecting on the team's response to major incidents at Riot Games [21:00] The unique challenges of securing gaming platforms [26:30] How Mark approaches strategy and planning in the fintech space [28:08] The case for building strong, partnership-driven vendor relationships [31:13] Creating space for creativity - without spreading the team too thin [34:35] Empowering his team to speak openly - even if it means calling him out [36:35] The inspiration behind Mark's books Digital Safety for Parents and The Security Path [40:20] Connect with Mark Where to find Mark: LinkedIn Brex Where to find Thomas Kinsella: LinkedIn Tines Resources mentioned: The Security Path - click here to redeem a free copy for podcast listeners (first come, first serve) Digital Safety for Parents - click here to redeem a free copy for podcast listeners (first come, first serve) Mark's talk during his time at Riot Games in 2016

Do you or your company need accounting software? Well, there are plenty of SaaS products out there that you can give your data to. but maybe you also really like Django and would rather have a foundation to build your own accounting system exactly as you need for your company or your product. On this episode, we're diving into Django Ledger, created by Miguel Sanda, which can do just that. Episode sponsors Auth0 Talk Python Courses Links from the show Miguel Sanda on Twitter: @elarroba Miguel on Mastodon: @elarroba@fosstodon.org Miguel on GitHub: github.com Django Ledger on Github: github.com Django Ledger Discord: discord.gg Get Started with Django MongoDB Backend: mongodb.com Wagtail CMS: wagtail.org Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

Varun Mohan is the co-founder and CEO of Windsurf (formerly Codeium), an AI-powered development environment (IDE) that has been used by over 1 million developers in just four months and has quickly emerged as a leader in transforming how developers build software. Prior to finding success with Windsurf, the company pivoted twice—first from GPU virtualization infrastructure to an IDE plugin, and then to their own standalone IDE.In this conversation, you'll learn:1. Why Windsurf walked away from a profitable GPU infrastructure business and bet the company on helping engineers code2. The surprising UI discovery that tripled adoption rates overnight.3. The secret behind Windsurf's B2B enterprise plan, and why they invested early in an 80-person sales team despite conventional startup wisdom.4. How non-technical staff at Windsurf built their own custom tools instead of purchasing SaaS products, saving them over $500k in software costs5. Why Varun believes 90% of code will be AI-generated, but engineering jobs will actually increase6. How training on millions of incomplete code samples gives Windsurf an edge, and creates a moat long-term7. Why agency is the most undervalued and important skill in the AI era—Brought to you by:• Brex—The banking solution for startups• Productboard—Make products that matter• Coda—The all-in-one collaborative workspace—Where to find Varun Mohan:• X: https://x.com/_mohansolo• LinkedIn: https://www.linkedin.com/in/varunkmohan/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Varun's background(03:57) Building and scaling Windsurf(12:58) Windsurf: The new purpose-built IDE to harness magic(17:11) The future of engineering and AI(21:30) Skills worth investing in(23:07) Hiring philosophy and company culture(35:22) Sales strategy and market position(39:37) JetBrains vs. VS Code: extensibility and enterprise adoption(41:20) Live demo: building an Airbnb for dogs with Windsurf(42:46) Tips for using Windsurf effectively(46:38) AI's role in code modification and review(48:56) Empowering non-developers to build custom software(54:03) Training Windsurf(01:00:43) Windsurf's unique team structure and product strategy(01:06:40) The importance of continuous innovation(01:08:57) Final thoughts and advice for aspiring developers—Referenced:• Windsurf: https://windsurf.com/• VS Code: https://code.visualstudio.com/• JetBrains: https://www.jetbrains.com/• Eclipse: https://eclipseide.org/• Visual Studio: https://visualstudio.microsoft.com/• Vim: https://www.vim.org/• Emacs: https://www.gnu.org/software/emacs/• Lessons from a two-time unicorn builder, 50-time startup advisor, and 20-time company board member | Uri Levine (co-founder of Waze): https://www.lennysnewsletter.com/p/lessons-from-uri-levine• IntelliJ: https://www.jetbrains.com/idea/• Julia: https://julialang.org/• Parallel computing: https://en.wikipedia.org/wiki/Parallel_computing• Douglas Chen on LinkedIn: https://www.linkedin.com/in/douglaspchen/• Carlos Delatorre on LinkedIn: https://www.linkedin.com/in/cadelatorre/• MongoDB: https://www.mongodb.com/• Cursor: https://www.cursor.com/• GitHub Copilot: https://github.com/features/copilot• Llama: https://www.llama.com/• Mistral: https://mistral.ai/• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder & CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• React: https://react.dev/• Sonnet: https://www.anthropic.com/claude/sonnet• OpenAI: https://openai.com/• FedRamp: https://www.fedramp.gov/• Dario Amodei on LinkedIn: https://www.linkedin.com/in/dario-amodei-3934934/• Amdahl's law: https://en.wikipedia.org/wiki/Amdahl%27s_law• How to win in the AI era: Ship a feature every week, embrace technical debt, ruthlessly cut scope, and create magic your competitors can't copy | Gaurav Misra (CEO and co-founder of Captions): https://www.lennysnewsletter.com/p/how-to-win-in-the-ai-era-gaurav-misra—Recommended book:• Fall in Love with the Problem, Not the Solution: A Handbook for Entrepreneurs: https://www.amazon.com/Fall-Love-Problem-Solution-Entrepreneurs/dp/1637741987—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe

Brandon talks with Rick Houlihan, Field CTO at MongoDB (https://fnf.dev/4ipjSI9), about why document databases are more important than ever, how MongoDB fits into modern app architectures, and where AI comes into play. Plus, Rick shares the story of how he helped deprecate 3,000 Oracle databases at Amazon. Show Links MongoDB (https://fnf.dev/4ipjSI9) Contact Rick Houlihan LinkedIn: Rick Houlihan (https://www.linkedin.com/in/rickhoulihan/) Twitter/X: @houlihan_rick (https://x.com/houlihan_rick) SDT News & Hype Join us in Slack (http://www.softwaredefinedtalk.com/slack). Get a SDT Sticker! Send your postal address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) and we will send you free laptop stickers! Follow us: Twitch (https://www.twitch.tv/sdtpodcast), Twitter (https://twitter.com/softwaredeftalk), Instagram (https://www.instagram.com/softwaredefinedtalk/), Mastodon (https://hachyderm.io/@softwaredefinedtalk), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk), Threads (https://www.threads.net/@softwaredefinedtalk) and YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured). Use the code SDT to get $20 off Coté's book, Digital WTF (https://leanpub.com/digitalwtf/c/sdt), so $5 total. Become a sponsor of Software Defined Talk (https://www.softwaredefinedtalk.com/ads)! Special Guest: Rick Houlihan.

**(Note: Spotify listeners can also watch the screen sharing video accompanying the audio. Other podcast platforms offer the audio-only version.)**Struggling with millions of unstructured documents, legacy records, or scattered data formats? Discover how AI, Large Language Models (LLMs), and MongoDB are revolutionizing data management in this episode of the MongoDB Podcast.Join host Shane McAllister and the team as they delve into tackling complex data challenges using cutting-edge technology. Learn how MongoDB Atlas Vector Search enables powerful semantic search and Retrieval Augmented Generation (RAG) applications, transforming chaotic information into valuable insights. Explore integrations with popular frameworks like Langchain and Llama Index.Find out how to efficiently process and make sense of your unstructured data, potentially saving significant costs and unlocking new possibilities.Ready to dive deeper?#MongoDB #AI #LLM #LargeLanguageModels #VectorSearch #AtlasVectorSearch #UnstructuredData #Podcast #DataManagement #RAG #SemanticSearch #Langchain #LlamaIndex #Developer #BigData

Have you ever spent an afternoon wrestling with a Jupyter notebook, hoping that you ran the cells in just the right order, only to realize your outputs were completely out of sync? Today's guest has a fresh take on solving that exact problem. Akshay Agrawal is here to introduce Marimo, a reactive Python notebook that ensures your code and outputs always stay in lockstep. And that's just the start! We'll also dig into Akshay's background at Google Brain and Stanford, what it's like to work on the cutting edge of AI, and how Marimo is uniting the best of data science exploration and real software engineering. Episode sponsors Worth Search Talk Python Courses Links from the show Akshay Agrawal: akshayagrawal.com YouTube: youtube.com Source: github.com Docs: marimo.io Marimo: marimo.io Discord: marimo.io WASM playground: marimo.new Experimental generate notebooks with AI: marimo.app Pluto.jl: plutojl.org Observable JS: observablehq.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

We're sitting down with Eric Matthes, the educator, author, and developer behind Django Simple Deploy. If you've ever struggled with taking that final step of getting your Django app onto a live server (without spending days wrestling with DevOps complexities), then give Django Simple Deploy a look. Eric shares how Django Simple Deploy automates away the boilerplate parts of deployment, so you can focus on building features instead of deciphering endless configs. We'll talk about this new project's journey to 1.0, the range of hosting platforms it supports, and why it's not just for beginners. Episode sponsors Worth Search Talk Python Courses Links from the show django-simple-deploy documentation: readthedocs.io django-simple-deploy repository: github.com Python Crash Course book: ehmatthes.github.io Code Red: codered.cloud Docker: docker.com Caddy: caddyserver.com Bunny.net CDN: bunny.net Platform.sh: platform.sh fly.io: fly.io Heroku: heroku.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

This episode is all about Beeware, the project that working towards true native apps built on Python, especially for iOS and Android. Russell's been at this for more than a decade, and the progress is now hitting critical mass. We'll talk about the Toga GUI toolkit, building and shipping your apps with Briefcase, the newly official support for iOS and Android in CPython, and so much more. I can't wait to explore how BeeWare opens up the entire mobile ecosystem for Python developers, let's jump right in. Episode sponsors Posit Python in Production Talk Python Courses Links from the show Anaconda open source team: anaconda.com PEP 730 – Adding iOS: peps.python.org PEP 738 – Adding Android: peps.python.org Toga: beeware.org Briefcase: beeware.org emscripten: emscripten.org Russell Keith-Magee - Keynote - PyCon 2019: youtube.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

In this episode, we welcome back Will McGugan, the creator of the wildly popular Rich library and founder of Textualize. We'll dive into Will's latest article on "Algorithms for High Performance Terminal Apps" and explore how he's quietly revolutionizing what's possible in the terminal, from smooth animations and dynamic widgets to full-on TUI (or should we say GUI?) frameworks. Whether you're looking to supercharge your command-line tools or just curious how Python can push the limits of text-based UIs, you'll love hearing how Will's taking a modern, web-inspired approach to old-school terminals. Episode sponsors Posit Python in Production Talk Python Courses Links from the show Algorithms for high performance terminal apps post: textual.textualize.io Textual Demo: github.com Textual: textualize.io Zero ver: 0ver.org memray: github.com Posting app: posting.sh Bulma CSS framewokr: bulma.io JP Term: davidbrochart.github.io Rich: github.com btop: github.com starship: starship.rs Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

Have you ever wondered why certain data points stand out so dramatically? They might hold the key to everything from fraud detection to groundbreaking discoveries. This week on Talk Python to Me, we dive into the world of outlier detection with Python with Brett Kennedy. You'll learn how outliers can signal errors, highlight novel insights, or even reveal hidden patterns lurking in the data you thought you understood. We'll explore fresh research developments, practical use cases, and how outlier detection compares to other core data science tasks like prediction and clustering. If you're ready to spot those game-changing anomalies in your own projects, stay tuned. Episode sponsors Posit Python in Production Talk Python Courses Links from the show Data-morph: github.com PyOD: github.com Prophet: github.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

Today we explore the wild world of Python deployment with my friend, Calvin Hendricks-Parker from Six Feet Up. We'll tackle some of the biggest challenges in taking a Python app from “it works on my machine” to production, covering inconsistent environments, conflicting dependencies, and sneaky security pitfalls. Along the way, Calvin shares how containerization with Docker and Kubernetes can both simplify and complicate deployments, especially for smaller teams. Finally, we'll introduce Scaf, a powerful project blueprint designed to give developers a rock-solid start on Python web projects of all sizes. Get notified when the Talk Python in Production book goes live and read the first third online right now. Episode sponsors Posit Python in Production Talk Python Courses Links from the show Calvin Hendryx-Parker: github.com Scaf on GitHub: github.com Scaf on GitHub (duplicate): github.com "Deploy the Dream" song: deploy-the-dream-talk-python.mp3 CloudDevEngineering YouTube Channel: youtube.com TechWorld with Nana YouTube Channel: youtube.com Tilt (Kubernetes Dev Tool): tilt.dev Talos (Minimal OS for Kubernetes): talos.dev Traefik Reverse Proxy: traefik.io Sealed Secrets on GitHub: github.com Argo CD Documentation: readthedocs.io MailHog on GitHub: github.com Next.js: nextjs.org Cloud Custodian: cloudcustodian.io Valky (Redis Replacement): valkey.io “The ‘Works on My Machine' Certification Program” (Coding Horror): blog.codinghorror.com NVIDIA's First Desktop AI PC (Ars Technica): arstechnica.com Kind (Kubernetes in Docker): kind.sigs.k8s.io Updated Effective PyCharm Course: training.talkpython.fm Talk Python in Production book: talkpython.fm/books/python-in-production Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy