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Table Of Contents
Azure Databricks Cookbook
By :
Azure Databricks Cookbook
By:
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)
Preface
Chapter 1: Creating an Azure Databricks Service
Chapter 2: Reading and Writing Data from and to Various Azure Services and File Formats
Chapter 3: Understanding Spark Query Execution
Chapter 4: Working with Streaming Data
Chapter 5: Integrating with Azure Key Vault, App Configuration, and Log Analytics
Chapter 6: Exploring Delta Lake in Azure Databricks
Chapter 7: Implementing Near-Real-Time Analytics and Building a Modern Data Warehouse
Chapter 8: Databricks SQL
Chapter 9: DevOps Integrations and Implementing CI/CD for Azure Databricks
Chapter 10: Understanding Security and Monitoring in Azure Databricks
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