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Source code Book Forum Slideshare: Data Analytics on Azure Why Choose Azure for Data Engineering? Azure Data Engineering - Microsoft 365 Developer Podcast An Overview of Azure Cloud Services Batch queries with Azure Data Lake Analytics 🎙️ Richard L. Nuckolls interviewed 🎙️ Azure Stream Analytics with Richard Nuckolls 🎙️ Interview with Richard L. Nuckolls Source code on GitHub Register your pBook for a free eBook 🎙️ Azure Data Lake Analytics - Writing and Running Jobs show all
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Azure Storage, Streaming, and Batch Analytics you own this product

A guide for data engineers
Richard L. Nuckolls
  • October 2020
  • ISBN 9781617296307
  • 448 pages
  • printed in black & white
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eBook This book is part of the Getting Started with Azure bundle Our eBooks come in Kindle, ePub, and DRM-free PDF formats + liveBook, our enhanced eBook format accessible from any web browser. $21.99 $39.99 you save: $18 (45%)
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A detailed tour through Azure’s capabilities. A must-read for anyone looking to use Azure for data engineering.

Mike Fowler, Claranet
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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.
This book is one of two products included in the Getting Started with Azure bundle. Get the entire bundle for only $39.99.

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.

FREE domestic shipping on orders of three or more print books

If you have any questions about storage, streaming, or batch analytics with Azure, you won’t after reading this book.

Taylor Dolezal, HashiCorp

An excellent reference for anyone using Azure for analytics.

Srihari Sridharan, AthenaHealth

If you are implementing data solutions on Azure, this is the book you need.

Pablo Acuña, Accenture
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