Azure Data Engineering Cookbook

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.

Type
ebook
Category
Data
publication date
2022-09-26
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

no of pages
608
duration
1216
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
approach
Recipe-based guide covering the latest techniques of data engineering using Azure Data Services. Covers the end-to-end data engineering life cycle which involves data ingestion, storage, processing, and consumption. Provides close to 80 recipes that provide solutions for various data engineering scenarios. Provides step-by-step instructions that are easy to be practiced in your environment.
audience
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.
meta description
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
short description
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.
subtitle
Get well versed in various data engineering techniques in Azure using this recipe-based guide
keywords
Azure Data Engineering, Data Engineering with Azure, Azure Data services
Product ISBN
9781803246789