Microsoft Azure has over 20 platform-as-a-service offerings that can act in support of a big data analytics solution. The skill lies in knowing which one is right for your project. In this practical book author Zoiner Tejada helps you understand the breadth of Azure services by organizing them into a reference framework you can use when crafting your own big data analytics solution.

<ASIN:1491956658>

The book teaches how to determine which service best fits the job, as well as showing how to implement a complete solution that scales, provides human fault tolerance, and supports future needs.

Author: Zoiner Tejada
Publisher: O'Reilly
Date: April 2017
Pages: 412
ISBN: 978-1491956656
Print: 1491956658
Kindle: B06Y3G2WKN
Audience: Azure developers
Level: intermediate
Category: Data Science 

• Understand the fundamental patterns of the data lake and lambda architecture
• Recognize the canonical steps in the analytics data pipeline and learn how to use Azure Data Factory to orchestrate them
• Implement data lakes and lambda architectures, using Azure Data Lake Store, Data Lake Analytics, HDInsight (including Spark), Stream Analytics, SQL Data Warehouse, and Event Hubs
• Understand where Azure Machine Learning fits into your analytics pipeline
• Gain experience using these services on real-world data that has real-world problems, with scenarios ranging from aviation to Internet of Things (IoT)

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