164 Epizód

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

    Közzétéve: 2025. 03. 10.

  2. Episode 172 - Between SQL Squid Games and SSMS

    Közzétéve: 2025. 02. 10.

  3. Episode 171 - Clueless about SQL Server 2025

    Közzétéve: 2025. 01. 13.

  4. Episode 170 - Interesting topics from PASS 2023 sessions

    Közzétéve: 2024. 12. 09.

  5. Episode 169 - Resumable Incremental Database Integrity Checks

    Közzétéve: 2024. 11. 11.

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

    Közzétéve: 2024. 10. 14.

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

    Közzétéve: 2024. 09. 09.

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

    Közzétéve: 2024. 08. 12.

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

    Közzétéve: 2024. 07. 08.

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

    Közzétéve: 2024. 06. 10.

  11. Episode 163 - When and Why to HADR

    Közzétéve: 2024. 05. 13.

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

    Közzétéve: 2024. 04. 08.

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

    Közzétéve: 2024. 03. 21.

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

    Közzétéve: 2024. 02. 12.

  15. Episode 159 - Select * Wastes Money

    Közzétéve: 2024. 01. 08.

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

    Közzétéve: 2023. 12. 11.

  17. No episode this month

    Közzétéve: 2023. 11. 15.

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

    Közzétéve: 2023. 10. 09.

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

    Közzétéve: 2023. 09. 11.

  20. Episode 155 - Kevin Chant

    Közzétéve: 2023. 08. 14.

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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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