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

Azure Data Engineering teaches how to design a reliable, performant, and cost-effective data infrastructure in Azure, using RDBMS systems like SQL Server and scripting using PowerShell, Bash, or Python. It is ideal for data-intensive applications, providing pre-built services for collection, storage, and analysis. Richard Nuckolls is a senior developer building a big data analytics and reporting system in Azure with nearly 20 years of experience.

Format: Paperback / softback
Length: 448 pages
Publication date: 03 November 2020
Publisher: Manning Publications

Azure Data Engineering is a comprehensive guide that empowers readers to design a robust, efficient, and cost-effective data infrastructure in the Microsoft Azure cloud. By gradually constructing a fully functional analytics system, readers will gain the skills necessary to build a reliable foundation for their data-driven applications.

This book assumes a basic understanding of Relational Database Management Systems (RDBMS) such as SQL Server and proficiency in scripting using languages like PowerShell, Bash, or Python. The examples provided throughout the book utilize PowerShell and C#, making it accessible to a wide range of readers.

The Microsoft Azure cloud platform is a prime choice for data-intensive applications due to its focus on productivity. It offers a range of pre-built services that simplify the process of collecting, storing, and analyzing data. These services cover various aspects of big data analysis, including ingestion, processing, querying, and migration.

In this book, readers will explore the architecture of Azure cloud services, learn how to build a data warehouse in Azure, and make informed decisions about selecting the appropriate Azure technology for their specific tasks. They will also delve into cost considerations, including fixed and variable expenses, and explore hot and cold path analytics techniques.

Richard Nuckolls, a senior developer with extensive experience in building big data analytics and reporting systems in Azure, serves as the author. With nearly 20 years of industry expertise, Richard has a diverse background in server and database administration, desktop and web development, and leading teams in the development of production content management systems in Azure.

By following the step-by-step guidance provided in Azure Data Engineering, readers will gain the knowledge and skills required to build a scalable and reliable data infrastructure in the Microsoft Azure cloud. Whether they are aspiring data engineers, IT professionals, or business analysts, this book will be an invaluable resource for anyone looking to leverage the power of big data in their applications.

Weight: 822g
Dimension: 188 x 234 x 28 (mm)
ISBN-13: 9781617296307