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The sql_squared Podcast!!!

The sql_squared Podcast!!!

著者： David Morgan-Gumm
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About The sql_squared Podcast

The sql_squared podcast is your guide to navigating the ever-evolving world of data. We go beyond the code to explore the tools, techniques, and trends that shape the data landscape, from SQL Server and cloud platforms to AI and developer productivity. Join us as we chat with experts from the community to help you learn, grow, and make the right decisions on your data journey.

Connect With Us

  • Website: https://www.sqlsquared.co.uk/
  • Twitter/X: @sql_squared
  • LinkedIn: @sql_squared
  • Email: mailbag@sqlsquared.co.uk
© 2026 sql_squared 出世 就職活動 経済学
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  • sql_squared: Open Data Engineering w/ Alex Merced

    sql_squared: Open Data Engineering w/ Alex Merced
    2026/08/17
    Send us Fan MailDavid Morgan-Gumm speaks with Alex Merced, Head of DevRel at Dremio, tech educator, and author, about the open source foundations behind modern data engineering. They break down Apache governance, Apache Arrow, Iceberg, Polaris, and how these pieces fit together in lakehouse architectures. Alex also shares his path into technical writing, community building, and why AI is changing how creators and data teams work.Key topicsIn this episode: the difference between open source and genuinely open governance, and why Apache projects matter for shared standardsAlex explains how the Apache Software Foundation works, including incubation, top level projects, and why community control matters more than corporate controlThe conversation compares Apache Foundation governance with the Linux Foundation model and why each solves a different problemAlex walks through the stack behind Dremio, including Apache Drill, Apache Arrow, and Apache CalciteWe discuss why Apache Arrow matters as a standard in-memory data format and how it reduces translation overhead between enginesAlex explains Apache Iceberg as a table format that tracks table versions, metadata, manifests, and file statistics for file skippingThe episode covers Apache Polaris as a catalogue and governance layer for Iceberg tables, including access control and vendor-neutral metadata managementDavid and Alex discuss how lakehouse architecture lets teams switch engines without moving data or redefining permissions from scratchAlex shares how federated querying in Dremio can help bridge older systems like SQL Server, Synapse, Redshift, and Snowflake while migrating toward IcebergThe episode closes with Alex’s origin story, his path from comics and finance into developer advocacy, and why writing books became a natural extension of teachingTimestamps00:00 - Introduction to SQL Squared and guest welcome03:46 - What Apache means in open source governance06:06 - How Apache projects become community driven07:59 - Community over code and why that matters09:52 - Dremio’s roots in Arrow, Drill, and Calcite10:21 - Hadoop, MapReduce, and the need for better query engines11:46 - Why Apache Arrow standardizes in-memory data13:55 - Where Arrow shows up in modern tools15:22 - Why Iceberg emerged from Hadoop and Parquet limitations17:10 - From folders of files to tables with metadata18:10 - How Hudi, Iceberg, and Delta Lake solve versioning differently19:07 - Iceberg metadata trees and manifest lists20:04 - File skipping and why it speeds up analytics23:26 - Iceberg as the table, Polaris as the catalogue24:24 - Polaris as vendor-neutral phone book and governance layer25:47 - Querying the same Iceberg tables from different engines26:47 - Why lakehouse architecture is future-proof28:12 - AI makes data silos harder to live with30:00 - How Dremio helps migrate without a hard cutover31:28 - Table-by-table migration with views and abstraction33:47 - Why the role of DevRel matters in data infrastructure34:32 - Alex’s early tech roots, from GeoCities to RPG Maker36:27 - Years in finance, training, and building a personal brand38:20 - Boot camp teaching, video content, and the move into DevRel41:41 - Why Alex started writing an Iceberg book43:10 - The timing of the Iceberg book and rising industry interest45:37 - Tabular, Polaris, and the catalogue gap48:03 - Snowflake, Databricks, and the open catalogue race50:15 - Alex’s YouTube channels and weekly newsletters51:10 - AI, creativity, and the tension for working artists54:39 - Using AI as a tool, not a shortcut55:53 - What makes strong technical communities58:36 - Different community types and how programming should match the audience62:05 - Closing thoughts on community and open ecosystemsSupport the showSupport the show!Enjoying The sql_squared Podcast? The best way to support us is by subscribing to our YouTube channel! Watch & Subscribe on YouTubeListen on other platforms: Apple Podcasts | SpotifyLeave a Review: If you found this episode helpful, please leave a 5-star review wherever you get your podcasts or leave a like and comment on YouTube. Share: Know someone who would love this episode? Go ahead and share a link! The sql_squared podcast is your guide to navigating the ever-evolving world of data. We go beyond the code to explore the tools, techniques, and trends that shape the data landscape, from SQL Server and cloud platforms to AI and developer productivity. Join us as we chat with experts from the community to help you learn, grow, and make the right decisions on your data journey. Website: https://www.sqlsquared.co.uk/Twitter/X: @sql_squaredLinkedIn: @sql_squaredEmail: mailbag@sqlsquared.co.uk
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    1 時間 1 分
  • Evolution of Database Infrastructure & Chaos Engineering w/ Andrew Pruski - sql_squared

    Evolution of Database Infrastructure & Chaos Engineering w/ Andrew Pruski - sql_squared
    2026/06/09

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    Episode Summary

    In this episode of The sql_squared Podcast!!!, we're joined by our special guest, Andrew Pruski, for a deep dive into the evolution of database infrastructure and modernization. As an expert in SQL Server containers and a Field Solution Architect at Everpure, Andrew shares his unique insights on deploying, managing, and breaking databases in modern environments. This conversation is centered around our guest's experiences and knowledge. Listeners will walk away with a deeper understanding of containerization versus traditional VMs , practical tips for leveraging the new AI and performance features in SQL Server 2025 , and a fresh perspective on chaos engineering and resiliency testing. This is a can't-miss episode for anyone interested in modern data development, high availability, and disaster recovery.

    Guest Information

    • Name: Andrew Pruski
    • Bio: Andrew is a Field Solution Architect at Everpure and a passionate advocate for SQL Server containerization. He regularly speaks at tech conferences, recently presenting on Kubernetes in Vilnius and SQL Server 2025 features at SQLBits.
    • Website: dbafromthecold.com
    • Social Media:
      • BlueSky: @dbafromthecold.com
      • LinkedIn: https://www.linkedin.com/in/andrewpruski/

    Resources Mentioned

    • Principles of Chaos: principlesofchaos.org - A great resource defining the discipline of experimenting upon systems to see how they react to failure.
    • SQL Server Operator on GitHub: An open-source operator built by Andrew's colleague to deploy availability groups for SQL Server natively on Kubernetes.
    • Andrew's GitHub Repo: Contains all the demo code, prerequisites, and slides for testing SQL Server 2025 features on your own instances. https://github.com/dbafromthecold
    • dbatools: Mentioned as an excellent utility to have ready for generating and automating database restores during a disaster scenario.

    #SQLServer, #DatabaseInfrastructure, #Containers, #Kubernetes, #SQLServer2025, #ArtificialIntelligence, #ChaosEngineering, #DataHorrorStories

    Support the show

    Support the show!

    Enjoying The sql_squared Podcast? The best way to support us is by subscribing to our YouTube channel!

    • Watch & Subscribe on YouTube
    • Listen on other platforms: Apple Podcasts | Spotify
    • Leave a Review: If you found this episode helpful, please leave a 5-star review wherever you get your podcasts or leave a like and comment on YouTube.
    • Share: Know someone who would love this episode? Go ahead and share a link!

    The sql_squared podcast is your guide to navigating the ever-evolving world of data. We go beyond the code to explore the tools, techniques, and trends that shape the data landscape, from SQL Server and cloud platforms to AI and developer productivity. Join us as we chat with experts from the community to help you learn, grow, and make the right decisions on your data journey.

    • Website: https://www.sqlsquared.co.uk/
    • Twitter/X: @sql_squared
    • LinkedIn: @sql_squared
    • Email: mailbag@sqlsquared.co.uk
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    1 時間 9 分
  • sql_squared: Github Universe - The future of Agentic Development w/ Sergio Sisternes

    sql_squared: Github Universe - The future of Agentic Development w/ Sergio Sisternes
    2025/12/01

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    In this episode of The sql_squared Podcast!!!, we're joined by our special guest, Sergio Sisternes, for a deep dive into the latest announcements from GitHub Universe and the rapidly evolving world of AI-driven development.

    As the Director of Technology Solutions for Microsoft Azure at EPAM, Sergio shares his unique insights fresh off the plane from Silicon Valley, giving us a direct debrief on the tech that is rewriting the future. This conversation is centered around moving beyond the hype of AI to understand the practical shifts in the Software Development Life Cycle (SDLC).

    Listeners will walk away with a deeper understanding of the difference between standard AI and Agentic AI, practical tips for building effective Model Context Protocols (MCPs), and a fresh perspective on how junior developers and architects must adapt their mindsets from "what" to "how". This is a can't-miss episode for anyone interested in Cloud Native development, Copilot strategies, and surviving the productivity "arms race".

    Guest Information
    Name: Sergio Sisternes
    Bio: Sergio is the Director of Technology Solutions for Microsoft Azure at EPAM, where he leads high-performance teams and architects delivering cloud and AI solutions for the future.
    LinkedIn: https://www.linkedin.com/in/sesispla/

    00:00 Intro 01:58 The GitHub Universe Vibe: Agent HQ & Mission Control 05:17 Why Code Quality Matters Before AI Adoption 10:37 Explained: Machine Learning vs. Deep Learning vs. GenAI 15:07 The Mindset Shift: Moving from "What" to "How" 21:00 3 Ways to Optimize Copilot: Instructions, Prompts & Agents 28:33 The Right Tool for the Job: Understanding MCP 38:18 Can Junior Developers Survive the AI Era? 44:15 Becoming a "100x Engineer" 47:53 The Global Productivity "Arms Race" 52:07 Outro

    #data #ai #github #softwareengineering #podcast #azure #agents #sdlc #cloud

    Support the show

    Support the show!

    Enjoying The sql_squared Podcast? The best way to support us is by subscribing to our YouTube channel!

    • Watch & Subscribe on YouTube
    • Listen on other platforms: Apple Podcasts | Spotify
    • Leave a Review: If you found this episode helpful, please leave a 5-star review wherever you get your podcasts or leave a like and comment on YouTube.
    • Share: Know someone who would love this episode? Go ahead and share a link!

    The sql_squared podcast is your guide to navigating the ever-evolving world of data. We go beyond the code to explore the tools, techniques, and trends that shape the data landscape, from SQL Server and cloud platforms to AI and developer productivity. Join us as we chat with experts from the community to help you learn, grow, and make the right decisions on your data journey.

    • Website: https://www.sqlsquared.co.uk/
    • Twitter/X: @sql_squared
    • LinkedIn: @sql_squared
    • Email: mailbag@sqlsquared.co.uk
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    54 分
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