Azure Data Engineering Cookbook: Get well versed in various data engineering techniques in Azure using this recipe-based guide, 2nd Edition 2nd edition
by Nagaraj Venkatesan ，Ahmad Osama
Publisher finelybook 出版社: Packt Publishing; 2nd edition (September 26, 2022)
Language 语言: English
Print Length 页数: 608 pages
ISBN-10: 1803246782
ISBN-13: 9781803246789
Book Description
By finelybook
Nearly 80 recipes to help you collect and transform data from multiple sources into a single data source, making it way easier to perform analytics on the data
Key Features
Build data pipelines from scratch and find solutions to common data engineering problems
Learn how to work with Azure Data Factory, Data Lake, Databricks, and Synapse Analytics
Monitor and maintain your data engineering pipelines using Log Analytics, Azure Monitor, and Azure Purview
Book Description
By finelybook
The famous quote ‘Data is the new oil’ seems more true every day as the key to most organizations’ long-term success lies in extracting insights from raw data. One of the major challenges organizations face in leveraging value out of data is building performant data engineering pipelines for data visualization, ingestion, storage, and processing. This second edition of the immensely successful book by Ahmad Osama brings to you several recent enhancements in Azure data engineering and shares approximately 80 useful recipes covering common scenarios in building data engineering pipelines in Microsoft Azure.
You’ll explore recipes from Azure Synapse Analytics workspaces Gen 2 and get to grips with Synapse Spark pools, SQL Serverless pools, Synapse integration pipelines, and Synapse data flows. You’ll also understand Synapse SQL Pool optimization techniques in this second edition. Besides Synapse enhancements, you’ll discover helpful tips on managing Azure SQL Database and learn about security, high availability, and performance monitoring. Finally, the book takes you through overall data engineering pipeline management, focusing on monitoring using Log Analytics and tracking data lineage using Azure Purview.
By the end of this book, you’ll be able to build superior data engineering pipelines along with having an invaluable go-to guide.
What you will learn
Process data using Azure Databricks and Azure Synapse Analytics
Perform data transformation using Azure Synapse data flows
Perform common administrative tasks in Azure SQL Database
Build effective Synapse SQL pools which can be consumed by Power BI
Monitor Synapse SQL and Spark pools using Log Analytics
Track data lineage using Microsoft Purview integration with pipelines
Who this book is 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.
Table of Contents
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
