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Jupyter Notebooks were once the realm of Data Scientists. New releases of Azure Data Studio, Visual Studio Code, and .NET interactive tooling have brought this tooling into the Operational team’s area. The biggest benefit of using Jupyter Notebooks is that you have your documentation, your code __and__ your results in the same source controllable document.

I will share with you all of the knowledge I have gained over the past 12 months implementing Jupyter Notebooks for Data Operation teams.

You will leave

  • with a good understanding of possible use cases for Jupyter Notebooks
  • being comfortable in using the different tooling
  • with many examples that you can take back to work and start being effective immediatelyEnabling collaboration with your team, simplifying common tasks, improving Incident Wash-Up meetings, creating run-books, easily creating code for others to use are some of the benefits that you will take away.
    We will have fun as well. Prerequisites: Working in an operational team supporting Data Platform systems.
    Lack of pogonophobia!
    Willingness to learn
    We will use Azure Data Studio

Hier ist der Link zum Teams Meeting:


Rob Sewell

Rob Sewell was once a Production SQL Server DBA but now is generally found automating the Data Platform and providing training for clients. He has a passion for PowerShell, Data and DevOps. He is an MVP, an officer for the DevOps PowerShell VG and has spoken and volunteered at many PowerShell and Data events. He is a member of the committee that organises Data In Devon and also the European PowerShell Conference. He is a proud supporter of the Data and PowerShell communities.

He relishes sharing and learning and can be found doing both via Twitter @sqldbawithbeard and his blog . He spends most of his time looking at a screen and loves to solve problems. He knows that looking at a screen so much is bad for him because his wife tells him so. Thus, you can find him on the cricket field in the summer or flying a drone in the winter.

He has a fabulous beard!


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