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  • Book Overview & Buying Azure Databricks Cookbook
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Azure Databricks Cookbook

Azure Databricks Cookbook

By : Raj, Jaiswal
4.4 (28)
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Azure Databricks Cookbook

Azure Databricks Cookbook

4.4 (28)
By: Raj, 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)
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Chapter 5: Integrating with Azure Key Vault, App Configuration, and Log Analytics

These days, most data processing or data ingestion pipelines read or write data from or to various external sources such as Azure Blob/ADLS Gen-2, SQL, Cosmos, and Synapse. To access these sources, you will need credentials. Storing these credentials, such as a storage account key or SQL password, in a notebook is not an option from a security standpoint and not a recommended approach when deploying these data ingestion or processing pipelines to production. To overcome these problems, Microsoft provides Azure Key Vault, where you can store credentials such as username and password, and access them securely from your notebooks. Apart from Key Vault, we can also use App Configuration to store these passwords and access them from Databricks notebooks.

By the end of this chapter, you will have learned how to create an Azure Key Vault from the Azure portal and the Azure CLI, as well as how to access Key...

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Azure Databricks Cookbook
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