Jupyter + Pandas On Azure Data Lake Store

Amit Kulkarni demonstrates how to access data in Azure Data Lake Store within a Jupyter notebook:

For the rest of this post, I assume that you have some basic familiarity with Python, Pandas and Jupyter.

On your machine, you will need all of the following installed:

  1. Python 2 or 3 with Pip

  2. Pandas

  3. Jupyter

Amit shows two separate methods for retrieving data, so check it out.

Related Posts

Working With Azure SQL Managed Instances

Jovan Popovic has a couple of posts covering configuration for Azure SQL Managed Instances.  First, he looks at how to configure tempdb: One limitation in the current public preview is that tempdb don’t preserves custom settings after fail-over happens. If you add new files to tempdb or change file size, these settings will not be preserved after fail-over, and […]

Read More

Flushing The Authentication Cache

Arun Sirpal describes an Azure SQL DB-only DBCC command: This command only applies to Azure SQL Database, at a high level it empties the database authentication cache for logins and firewall rules for the current USER database. In Azure SQL Database the authentication cache makes a copy of logins and server firewall rules which are […]

Read More