SQL Server Radio

A podcast by Guy Glantser, Eitan Blumin

Categories:

164 Episodes

  1. Episode 173 - SQL Noir and the fate of Azure Data Studio

    Published: 3/10/2025
  2. Episode 172 - Between SQL Squid Games and SSMS

    Published: 2/10/2025
  3. Episode 171 - Clueless about SQL Server 2025

    Published: 1/13/2025
  4. Episode 170 - Interesting topics from PASS 2023 sessions

    Published: 12/9/2024
  5. Episode 169 - Resumable Incremental Database Integrity Checks

    Published: 11/11/2024
  6. Episode 168 - New data types in SQL Server and a question about index fragmentation

    Published: 10/14/2024
  7. Episode 167 - Let's Troubleshoot SQL AG Synchronization Latency

    Published: 9/9/2024
  8. Episode 166 - DR Planning for SQL Server and Loading Large CSV Files

    Published: 8/12/2024
  9. Episode 165 - News in Azure SQL and Woes of Excel

    Published: 7/8/2024
  10. Episode 164 - The Good the Bad and the Ugly Transactional Replication

    Published: 6/10/2024
  11. Episode 163 - When and Why to HADR

    Published: 5/13/2024
  12. Episode 162 - Backups and Recovery, RTO, RPO, and RCO

    Published: 4/8/2024
  13. Episode 161 - EXCLUSIVE: Announcing the Biggest Innovation for Azure SQL Managed Instances (Codename: Hermes)

    Published: 3/21/2024
  14. Episode 160 - OPTION RECOMPILE and the magical Turbo button

    Published: 2/12/2024
  15. Episode 159 - Select * Wastes Money

    Published: 1/8/2024
  16. Episode 158 - Reverse Engineering Table Relations based on SQL Plans

    Published: 12/11/2023
  17. No episode this month

    Published: 11/15/2023
  18. Episode 157 - Let's Talk Some Hardcore SQL Server

    Published: 10/9/2023
  19. Episode 156 - Back to School with Encryption as a Tool

    Published: 9/11/2023
  20. Episode 155 - Kevin Chant

    Published: 8/14/2023

1 / 9

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.