What you would learn in Connecting to SQL Server from Databricks course?
Databricks is a flexible and powerful data platform that can assist us in completing many processing, analysis, and machine-learning tasks. However, it is often required to get its data from storage systems, like relational databases. In this tutorial, connect to SQL Server via Databricks; learn how the data contained in the SQL Server database can be accessed via Databricks. Databricks workspace. The first step is to explore the possibility of creating the Databricks workspace inside a customized virtual network. Then, you'll learn about various connections rules that will ensure the Databricks and SQL server can communicate with one another and allow connection to SQL Server using the locally-based SQL client.
Additionally, you'll discover how to query tables within SQL Server. SQL Server database from a notebook inside Databricks' Databricks workspace. When you've completed this class, you'll be familiar with the configuration necessary to ensure that two well-known data platforms, such as Databricks and SQL Server - can talk to one another, and you can create an interface in your environment.
Creating a Databricks Workspace
Running SQL Server in a Docker Container
Querying SQL Server from Databricks
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