SQL Server Radio

En podkast av Guy Glantser, Eitan Blumin - Mandager

Mandager

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159 Episoder

  1. Episode 129 - 10 Comments Every DBA Wants to Say

    Publisert: 7.6.2021
  2. Episode 128 - Azure and SQL with Anna and Bob

    Publisert: 10.5.2021
  3. Episode 127 - The Red-Gate-took-over-and-now-we-get-free-stuff Summit

    Publisert: 12.4.2021
  4. Episode 126 - Leading a Zeitgeist in the SQL Server Community

    Publisert: 8.3.2021
  5. Episode 125 - Monitoring SQL Servers for a managed DBA service

    Publisert: 8.2.2021
  6. Episode 124 - The Vanguards of Data

    Publisert: 11.1.2021
  7. Episode 123 - Beware of the Parallel Plan

    Publisert: 14.12.2020
  8. Episode 122 - What you didn't know that you wanted to know about XML

    Publisert: 8.11.2020
  9. Episode 121 - to PASS or not to PASS

    Publisert: 5.10.2020
  10. Episode 120 - Operator Level Statistics

    Publisert: 7.9.2020
  11. Episode 119 - Overriding Reporting Services Authentication

    Publisert: 10.8.2020
  12. Episode 118 - Going reverse in a one way street

    Publisert: 13.7.2020
  13. Episode 117 - May the Free Events be ever in your favor

    Publisert: 8.6.2020
  14. Episode 116 - FREEApril and a promising May

    Publisert: 11.5.2020
  15. Episode 115 - How can UPDATE STATISTICS cause HADR disconnections?

    Publisert: 13.4.2020
  16. Episode 114 - Lots of catching up to do

    Publisert: 9.3.2020
  17. SQL Server Radio Important Announcement

    Publisert: 17.2.2020
  18. Things You Shouldn't Do with SQL Server

    Publisert: 7.11.2019
  19. What You Should Do Before You Actually Start Working

    Publisert: 12.10.2019
  20. The Best Song of the 90s

    Publisert: 5.9.2019

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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.

Visit the podcast's native language site