SQL Server Radio

En podkast av Guy Glantser, Eitan Blumin - Mandager

Mandager

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159 Episoder

  1. Episode 168 - New data types in SQL Server and a question about index fragmentation

    Publisert: 14.10.2024
  2. Episode 167 - Let's Troubleshoot SQL AG Synchronization Latency

    Publisert: 9.9.2024
  3. Episode 166 - DR Planning for SQL Server and Loading Large CSV Files

    Publisert: 12.8.2024
  4. Episode 165 - News in Azure SQL and Woes of Excel

    Publisert: 8.7.2024
  5. Episode 164 - The Good the Bad and the Ugly Transactional Replication

    Publisert: 10.6.2024
  6. Episode 163 - When and Why to HADR

    Publisert: 13.5.2024
  7. Episode 162 - Backups and Recovery, RTO, RPO, and RCO

    Publisert: 8.4.2024
  8. Episode 161 - EXCLUSIVE: Announcing the Biggest Innovation for Azure SQL Managed Instances (Codename: Hermes)

    Publisert: 21.3.2024
  9. Episode 160 - OPTION RECOMPILE and the magical Turbo button

    Publisert: 12.2.2024
  10. Episode 159 - Select * Wastes Money

    Publisert: 8.1.2024
  11. Episode 158 - Reverse Engineering Table Relations based on SQL Plans

    Publisert: 11.12.2023
  12. No episode this month

    Publisert: 15.11.2023
  13. Episode 157 - Let's Talk Some Hardcore SQL Server

    Publisert: 9.10.2023
  14. Episode 156 - Back to School with Encryption as a Tool

    Publisert: 11.9.2023
  15. Episode 155 - Kevin Chant

    Publisert: 14.8.2023
  16. Episode 154 - Beavers and very loud farts

    Publisert: 10.7.2023
  17. Episode 153 - Erik Darling Is Our Guest For Today

    Publisert: 12.6.2023
  18. Episode 152 - We interview ChatGPT

    Publisert: 8.5.2023
  19. Episode 151 - Tales from the SQL Bits of 2023

    Publisert: 10.4.2023
  20. Episode 150 - Artificially Intelligent Query Processing

    Publisert: 13.3.2023

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SQL Server Radio is a Podcast for SQL Server DBAs, database developers, architects, system administrators, and anyone else who is interested in the Microsoft SQL Server platform and the Microsoft data platform in general. As the data world changes, we also occasionally talk about other platforms and services like Azure and Amazon cloud services, Elastic Search, Hadoop, MongoDB, Machine Learning, and much more.

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