Ahmad Osama - Azure Data Engineering Cookbook: Design and implement batch and streaming analytics using Azure Cloud Services
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Over 90 recipes to help data scientists and AI engineers orchestrate modern ETL/ELT workflows and perform analytics using Azure services more easily
Key Features- Discover how to work with different SQL and NoSQL data stores in Microsoft Azure
- Create and execute real-time processing solutions using Azure Databricks, Azure Stream Analytics, and Azure Data Explorer
- Design and execute batch processing solutions using Azure Data Factory
Data engineering is a growing field that focuses on preparing data for analysis. This book uses various Azure services to implement and maintain infrastructure to extract data from multiple sources, and then transform and load it for data analysis.
This book takes you through different techniques for performing big data engineering using Microsoft cloud services. It begins by showing you how Azure Blob storage can be used for storing large amounts of unstructured data and how to use it for orchestrating a data workflow. Youll then work with different Cosmos DB APIs and Azure SQL Database. Moving on, youll discover how to provision an Azure Synapse database and find out how to ingest and analyze data in Azure Synapse. As you advance, youll cover the design and implementation of batch processing solutions using Azure Data Factory, and understand how to manage, maintain, and secure Azure Data Factory pipelines. Youll also design and implement batch processing solutions using Azure Databricks and then manage and secure Azure Databricks clusters and jobs. In the concluding chapters, youll learn how to process streaming data using Azure Stream Analytics and Data Explorer.
By the end of this Azure book, youll have gained the knowledge you need to be able to orchestrate batch and real-time ETL workflows in Microsoft Azure.
What you will learn- Use Azure Blob storage for storing large amounts of unstructured data
- Perform CRUD operations on the Cosmos Table API
- Implement elastic pools and business continuity with Azure SQL Database
- Ingest and analyze data using Azure Synapse Analytics
- Develop Data Factory data flows to extract data from multiple sources
- Manage, maintain, and secure Azure Data Factory pipelines
- Process streaming data using Azure Stream Analytics and Data Explorer
This book is for database administrators, database developers, and extract, load, transform (ETL) developers looking to build expertise in Azure Data engineering using a recipe-based approach. Technical architects and database architects with experience in designing data or ETL applications either on-premise or on any other cloud vendor who want to learn Azure Data engineering concepts will also find this book useful. Prior knowledge of Azure fundamentals and data engineering concepts is needed.
Table of Contents- Working with Azure Blob Storage
- Working with Relational Database in Azure
- Analyzing Data with Azure Synapse Analytics
- Control Flow Activities in Azure Data Factory
- Control Flow Transformation and Copy Data Activity in Azure Data Factory
- Data Flow in Azure Data Factory
- Azure Data Factory Integration Runtime
- Deploying Azure Data Factory Pipelines
- Batch and Streaming Data Processing with Azure Databricks
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Design and implement batch and streaming analytics using Azure Cloud Services
Ahmad Osama
BIRMINGHAMMUMBAI
Copyright 2021 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
Group Product Manager: Kunal Parikh
Publishing Product Manager: Reshma Raman
Senior Editor: Roshan Ravikumar
Content Development Editor: Athikho Sapuni Rishana
Technical Editor: Manikandan Kurup
Copy Editor: Safis Editing
Project Coordinator: Aishwarya Mohan
Proofreader: Safis Editing
Indexer: Priyanka Dhadke
Production Designer: Roshan Kawale
First published: April 2021
Production reference: 1100321
Published by Packt Publishing Ltd.
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B3 2PB, UK.
ISBN 978-1-80020-655-7
www.packt.com
Ahmad Osama works for Pitney Bowes Pvt Ltd. as a database engineer and is a Microsoft Data Platform MVP. In his day-to-day job at Pitney Bowes, he works on developing and maintaining high performance on-premises and cloud SQL Server OLTP environments, building CI/CD environments for databases and automation. Outside his day job, he regularly speaks at user group events and webinars conducted by the DataPlatformLabs community.
Sawyer Nyquist is a consultant based in Grand Rapids, Michigan, USA. His work focuses on business intelligence, data analytics engineering, and data platform architecture. He holds the following certifications from Microsoft: MCSA BI Reporting, Data Analyst Associate, and Azure Data Engineer Associate. Over his career, he has worked with dozens of companies to strategize and implement data analytics, and technology to drive growth. He is passionate about delivering enterprise data analytics solutions by building ETL pipelines, designing SQL data warehouses, and deploying modern cloud technologies for custom dashboards and reporting.
Has Altaiar is a software engineer at heart and a consultant by trade. He lives in Melbourne, Australia, and is the Executive Director at vNEXT Solutions. His work focuses on data, IoT, and AI on Microsoft Azure, and two of his latest IoT projects won multiple awards. Has is also a Microsoft Azure MVP and a regular organizer and speaker at local and international conferences, including Microsoft Ignite, NDC, and ServerlessDays. You can follow him on Twitter at @hasaltaiar
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