Azure Storage, Streaming, and Batch Analytics: A guide for data engineers
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The Microsoft Azure cloud is an ideal platform for data-intensive applications. Designed for productivity, Azure provides pre-built services that make collection, storage, and analysis much easier to implement and manage. Azure Storage, Streaming, and Batch Analytics teaches you how to design a reliable, performant, and cost-effective data infrastructure in Azure by progressively building a complete working analytics system.
Summary
The Microsoft Azure cloud is an ideal platform for data-intensive applications. Designed for productivity, Azure provides pre-built services that make collection, storage, and analysis much easier to implement and manage. Azure Storage, Streaming, and Batch Analytics teaches you how to design a reliable, performant, and cost-effective data infrastructure in Azure by progressively building a complete working analytics system.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the technology
Microsoft Azure provides dozens of services that simplify storing and processing data. These services are secure, reliable, scalable, and cost efficient.
About the book
Azure Storage, Streaming, and Batch Analytics shows you how to build state-of-the-art data solutions with tools from the Microsoft Azure platform. Read along to construct a cloud-native data warehouse, adding features like real-time data processing. Based on the Lambda architecture for big data, the design uses scalable services such as Event Hubs, Stream Analytics, and SQL databases. Along the way, you’ll cover most of the topics needed to earn an Azure data engineering certification.
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
For readers familiar with database management. Examples in C# and PowerShell.
About the author
Richard Nuckolls is a senior developer building big data analytics and reporting systems in 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 : 1.8 pounds
Dimensions : 7.38 x 0.7 x 9.25 inches
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4 reviews for Azure Storage, Streaming, and Batch Analytics: A guide for data engineers
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Luke Fischer –
For future data engineers
I just completed the book. It’s a great intro to data engineering, especially if you have experience with .NET or other Microsoft technologies. The author gives many examples and diagrams to help the reader understand complex material. There is also a hands-on activity that you can do on the online Azure platform. The activity builds with each chapter, and by the end you have completed an actual project. It’s a great way to test whether you’re really understanding the concepts, and it reinforces your learning as well.I highly recommend this book to Microsoft technologists interested in data engineering or anyone who is drawn to Azure over AWS and Google Cloud.
AdaptableTerran –
Well-written but the cloud evolves rapidly
The good: this was the first Azure data engineering book I read and I learned a lot from it. Mr. Nuckolls does a great job discussing the key concepts that new data engineers should be aware of. He demonstrates how to set up each Azure service using both the user interface and PowerShell.The not so good: Microsoft has deprecated Azure Data Lake Analytics and shifted its resources to Synapse Analytics. The three chapters on Azure Data Lake Analytics and U-SQL are completely obsolete.Unfortunately, this book doesn’t cover Spark/Databricks or Synapse Analytics, which are the predominant Azure data engineering technologies today. Most of the chapters in this book are still useful; however, I recommend reading “Cloud Scale Analytics with Azure Data Services” by Patrik Borosch for more up-to-date material.
Defines F. –
Excellent introduction to Data Engineering for .NET professionals and Azure enthusiasts
I’ve had the pleasure to work closely with Richard as our careers intersected, and this book is exemplary of the excellence he brings to all of his work. As a .NET engineer myself, but not a data science guru, this book was an accelerator for my introduction to analytics using Azure. The patterns and practices Richard describes present a concise, clear approach which even Microsoft themselves have come to adopt in their own guidance. This is a great resource and I highly recommend to anyone working with data science in Azure.
William Nguyen –
Book is damaged. I want my refund. I expected new product.