Thoughts on SQL Notebooks

Emanuele Meazzo takes a look at the current state of SQL Notebooks in Azure Data Studio:

I’ve personally used SQL Notebook in my day-to-day work for Data Analysis, as the possibility to tweak the code and run it in the notebook greatly enhances the presentation of the data as oppose to a commented SQL Script ,as you cannot see all the query results in the same page too as opposed to a notebook; Moreover, a notebook (with or without results) can be exported in a read-only format like html or pdf to share the info with third parties, i.e. you can automate an analysis process that include code to be shared, cool stuff.

I think there are still a few (dozen) things to iron out before it’s a great experience, but they’re on the right path with it. If you haven’t checked out Azure Data Studio and its SQL Notebooks, give it a try sometime.

Related Posts

The SQL Notebook Experience, Featuring Powershell

Rob Sewell takes a break from book-writing and talks about using Powershell in SQL Notebooks: Yes, it’s funny but also it carries a serious warning. Without understanding what it is doing, please don’t enable PowerShell to be run in a SQL Notebook that someone sent you in an email or you find on a GitHub. […]

Read More

Notebooks in Azure Databricks

Brad Llewellyn takes us through Azure Databricks notebooks: Azure Databricks Notebooks support four programming languages, Python, Scala, SQL and R.  However, selecting a language in this drop-down doesn’t limit us to only using that language.  Instead, it makes the default language of the notebook.  Every code block in the notebook is run independently and we […]

Read More

Categories

April 2019
MTWTFSS
« Mar May »
1234567
891011121314
15161718192021
22232425262728
2930