Azure Data Engineering Cookbook
This new edition of Azure Data Engineering Cookbook acts as a practical guide, focusing on the different data engineering techniques that can be implemented using Azure Data Services. You will learn how to build end-to-end Azure data engineering pipelines to help you extract useful insights out of raw data collected from disparate sources.
Offered by
Difficulty Level
Intermediate
Completion Time
20h16m
Language
English
About Book
Who Is This Book For?
This book is for data engineers, data architects, database administrators, and data professionals who want to get well versed with the Azure data services for building data pipelines. Basic understanding of cloud and data engineering concepts will help in getting the most out of this book.
Azure Data Engineering Cookbook
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 20h16m total length
Creating and Managing Data in Azure Data Lake
Securing and Monitoring Data in Azure Data Lake
Building Data Ingestion Pipelines Using Azure Data Factory
Azure Data Factory Integration Runtime
Configuring and Securing Azure SQL Database
Implementing High Availability and Monitoring in Azure SQL Database
Processing Data Using Azure Databricks
Processing Data Using Azure Synapse Analytics
Transforming Data Using Azure Synapse Dataflows
Building the Serving Layer in Azure Synapse SQL Pool
Monitoring Synapse SQL and Spark Pools
Optimizing and Maintaining Synapse SQL and Spark Pools
Monitoring and Maintaining Azure Data Engineering Pipelines
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