Azure Storage, Streaming, and Batch Analytics: A guide for data engineers

Price: $36.99
(as of May 20,2023 14:02:16 UTC – Details)

Microsoft Azure cloud is a great platform for data-intensive applications, which enables collection, storage, and analysis of data through pre-built services quickly. The book Azure Storage, Streaming, and Batch Analytics is a complete guide for designing a reliable, cost-effective, and performant data infrastructure by progressively building a complete data analytics system.

Summary
Azure Storage, Streaming, and Batch Analytics teach you how to utilize Microsoft Azure cloud services to design and implement data-intensive applications. Purchasing of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the technology
Microsoft Azure provides secure, scalable, reliable, and cost-efficient dozens of services for storing and processing data.

About the book
Azure Storage, Streaming, and Batch Analytics is a must-have book for designing state-of-the-art data solutions using Microsoft Azure cloud services. This book leads you to build a cloud-native data warehousing system while adding features such as real-time data processing, using the Lambda architecture for big data. All topics that are necessary to become an Azure data engineering certified are covered.

What’s inside

    Configuring Azure services for speed and cost
    Constructing data pipelines with Data Factory
    Choosing the right data storage methods

About the reader
This book is for readers who are familiar with and working in database management, and examples are in C# and PowerShell.

About the author
Richard Nuckolls is a senior developer who builds big data analytics and reporting systems on Azure.

Table of Contents

1 What is data engineering?

2 Building an analytics system in Azure

3 General storage with Azure Storage accounts

4 Azure Data Lake Storage

5 Message handling with Event Hubs

6 Real-time queries with Azure Stream Analytics

7 Batch queries with Azure Data Lake Analytics

8 U-SQL for complex analytics

9 Integrating with Azure Data Lake Analytics

10 Service integration with Azure Data Factory

11 Managed SQL with Azure SQL Database

12 Integrating Data Factory with SQL Database

13 Where to go next

Publisher ‏ : ‎ Manning; 1st edition (November 3, 2020)
Language ‏ : ‎ English
Paperback ‏ : ‎ 448 pages
ISBN-10 ‏ : ‎ 1617296309
ISBN-13 ‏ : ‎ 978-1617296307
Item Weight ‏ : ‎ 1.85 pounds
Dimensions ‏ : ‎ 7.38 x 0.7 x 9.25 inches