Databricks on Azure: Mount Storage, Use UDFs & Spark Functions

Описание: This training video provides a comprehensive guide to working with data in Databricks. You'll learn essential techniques for connecting to your data and transforming it using a variety of functions.

In this tutorial, we will cover:

Mounting Azure Storage: Learn the correct way to securely mount your Azure Blob Storage or Data Lake Storage Gen2 account directly in your Databricks workspace.

Python User-Defined Functions (UDFs): Discover how to create and apply custom Python functions to your Spark DataFrames.

Pandas User-Defined Functions (UDFs): Explore the power of vectorized operations with Pandas UDFs for improved performance.

Built-in Spark Functions: A walkthrough of some of the most useful and commonly used built-in Spark functions for data manipulation.

Temporary Views: Understand how to use temporary views to make your DataFrames accessible via Spark SQL.

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