Introduction to Delta Lake on Azure Databricks
Delta Lake is an open-source storage layer that’s included in Azure Databricks. It supports structured and unstructured data, ACID transactions, and batch and stream processing. This lesson provides an overview of Delta Lake, including some history of earlier data solutions and why you might choose Delta Lake instead. You'll learn how to use and optimize Delta Lake for your own workloads.
Learning Objectives
- Understand what Delta Lake is and what it's used for
- Learn how to optimize Delta Lake
Intended Audience
This lesson is intended for anyone who wants to learn how to use Delta Lake on Azure Databricks.
Prerequisites
To get the most from this lesson, you should already have some knowledge of Apache Spark and Azure Databricks. If you’re not familiar with those, then you should take our Running Spark on Azure Databricks lesson. It would also be helpful to have some experience with SQL.
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