SQL Server Radio

En podkast av Guy Glantser, Eitan Blumin - Mandager

Mandager

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159 Episoder

  1. Show 39 - SQL Server and Independent Consulting with William Durkin

    Publisert: 14.1.2016
  2. Show 38 - DevOps, Cloud and Podcasting with Richard Campbell

    Publisert: 30.12.2015
  3. Show 37 - Be Happy

    Publisert: 16.12.2015
  4. Show 36 – Podcasters Panel at PASS Summit 2015

    Publisert: 29.11.2015
  5. Show 35 – What the Hell is DPM?

    Publisert: 18.11.2015
  6. Show 34 – Do You Have a Backup?

    Publisert: 10.11.2015
  7. Show 33 – What Google and Facebook Know about You…

    Publisert: 22.10.2015
  8. Show 32 – Morning Checklists, Policy Based Management and Automation with Pieter Vanhove

    Publisert: 15.10.2015
  9. Show 31 – The Hadoop Ecosystem with Carlos Bossy

    Publisert: 6.10.2015
  10. Show 30 – Coffee and Water

    Publisert: 22.9.2015
  11. Show 29 – Architecture, Microsoft APS and Azure SQL Datawarehouse with Bradley Ball

    Publisert: 7.9.2015
  12. Show 28 – Backups, Scripting and Regular Expressions with Sean McCown

    Publisert: 22.8.2015
  13. Show 27 – Earth 2.0

    Publisert: 10.8.2015
  14. Show 26 – Boris Hristov

    Publisert: 27.7.2015
  15. Show 25 – Oh, I’m on the Prod Server

    Publisert: 11.7.2015
  16. Show 24 – Virtualization, High Availability and Independent Consulting with David Klee

    Publisert: 29.6.2015
  17. Show 23 – Scattergories

    Publisert: 15.6.2015
  18. Show 22 – Columnstore Indexes with Niko Neugebauer

    Publisert: 24.5.2015
  19. Show 21 – Get Up Stand Up

    Publisert: 12.5.2015
  20. Show 20 – One Must Work Hard to Remain Stupid

    Publisert: 27.4.2015

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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