Databricks on Azure: Mount Storage, Use UDFs & Spark Functions
Автор: SNIGDHA JYOTSNA- Family Algorithm Dojo
Загружено: 2025-08-27
Просмотров: 64
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.
#Databricks #Azure #DataEngineering #Spark #Python #Pandas #UDF"
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