Book Image

Azure Databricks Cookbook

By : Phani Raj, Vinod Jaiswal
Book Image

Azure Databricks Cookbook

By: Phani Raj, Vinod Jaiswal

Overview of this book

Azure Databricks is a unified collaborative platform for performing scalable analytics in an interactive environment. The Azure Databricks Cookbook provides recipes to get hands-on with the analytics process, including ingesting data from various batch and streaming sources and building a modern data warehouse. The book starts by teaching you how to create an Azure Databricks instance within the Azure portal, Azure CLI, and ARM templates. You’ll work through clusters in Databricks and explore recipes for ingesting data from sources, including files, databases, and streaming sources such as Apache Kafka and EventHub. The book will help you explore all the features supported by Azure Databricks for building powerful end-to-end data pipelines. You'll also find out how to build a modern data warehouse by using Delta tables and Azure Synapse Analytics. Later, you’ll learn how to write ad hoc queries and extract meaningful insights from the data lake by creating visualizations and dashboards with Databricks SQL. Finally, you'll deploy and productionize a data pipeline as well as deploy notebooks and Azure Databricks service using continuous integration and continuous delivery (CI/CD). By the end of this Azure book, you'll be able to use Azure Databricks to streamline different processes involved in building data-driven apps.
Table of Contents (12 chapters)

Delta table data format

In this recipe, you will learn how data is stored in Delta tables and how Delta tables keep track of the history of all DML operations.

Delta Lake's transaction log (the DeltaLog) records every transaction that has been performed on a Delta table since it was created. When a user performs a DML operation, Delta Lake breaks down the operation into multiple steps that each have one or more actions associated with them, as follows:

  • Add file – Adds a data file to Delta Lake
  • Remove file – Removes a data file
  • Update metadata – Updates the table metadata including changing the table name adding partitioning
  • Set transaction – Records the commit using a Structured Streaming micro-batch job with a given ID
  • Change protocol – Enables features by switching the Delta Lake transaction log to the newest software protocol
  • Commit info – Contains information around the commit and the details about the...