164 Episodio

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

    Pubblicato: 10/03/2025

  2. Episode 172 - Between SQL Squid Games and SSMS

    Pubblicato: 10/02/2025

  3. Episode 171 - Clueless about SQL Server 2025

    Pubblicato: 13/01/2025

  4. Episode 170 - Interesting topics from PASS 2023 sessions

    Pubblicato: 09/12/2024

  5. Episode 169 - Resumable Incremental Database Integrity Checks

    Pubblicato: 11/11/2024

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

    Pubblicato: 14/10/2024

  7. Episode 167 - Let's Troubleshoot SQL AG Synchronization Latency

    Pubblicato: 09/09/2024

  8. Episode 166 - DR Planning for SQL Server and Loading Large CSV Files

    Pubblicato: 12/08/2024

  9. Episode 165 - News in Azure SQL and Woes of Excel

    Pubblicato: 08/07/2024

  10. Episode 164 - The Good the Bad and the Ugly Transactional Replication

    Pubblicato: 10/06/2024

  11. Episode 163 - When and Why to HADR

    Pubblicato: 13/05/2024

  12. Episode 162 - Backups and Recovery, RTO, RPO, and RCO

    Pubblicato: 08/04/2024

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

    Pubblicato: 21/03/2024

  14. Episode 160 - OPTION RECOMPILE and the magical Turbo button

    Pubblicato: 12/02/2024

  15. Episode 159 - Select * Wastes Money

    Pubblicato: 08/01/2024

  16. Episode 158 - Reverse Engineering Table Relations based on SQL Plans

    Pubblicato: 11/12/2023

  17. No episode this month

    Pubblicato: 15/11/2023

  18. Episode 157 - Let's Talk Some Hardcore SQL Server

    Pubblicato: 09/10/2023

  19. Episode 156 - Back to School with Encryption as a Tool

    Pubblicato: 11/09/2023

  20. Episode 155 - Kevin Chant

    Pubblicato: 14/08/2023

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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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