I ain't a Data Scientist - Why do I need Jupyter Notebooks?
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Session Details:
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 immediately
Enabling 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
Speaker Bio:
Rob was a SQL Server DBA with a passion for Powershell, Azure, Automation, and SQL (PaaS geddit?). Now he just helps people. He is a Cloud and Data Center MVP and a Data Platform MVP, an officer for the PASS DevOps Virtual Chapter, co-leader of Data South West and PSConf EU organiser and has spoken at and volunteered at many Data and PowerShell events all over the world. He is a proud supporter of the Data and Powershell communities. He relishes sharing and learning and can be found doing both via Twitter 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 and flying a drone in the winter. He has a fabulous beard
Host/s:
Mark Broadbent.
Mikael Wedham.
Originally recorded on 7th April 2021.
Video Production: Mark Broadbent 14th February 2022.
00:00 Introduction
02:57 Let's go back in time
06:37 What is a Jupyter notebook
20:07 Questions part 1
22:22 Demo
57:27 Questions part 2