Mastering azure analytics : architecting in the cloud with Azure Data Lake, HDInsight, and Spark / Zoiner Tejada.

Format:

Book

Author/Creator:

Tejada, Zoiner, author.

Language:

English

Subjects (All):

Cloud computing.

Windows Azure.

Spark (Electronic resource : Apache Software Foundation).

Physical Description:

1 online resource (411 pages) : illustrations

Edition:

First edition.

Place of Publication:

Beijing, [China] : Oreilly, 2017.

System Details:

text file

Summary:

Microsoft Azure has over 20 platform-as-a-service (PaaS) offerings that can act in support of a big data analytics solution. So which one is right for your project? This practical book 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. You’ll not only be able to determine which service best fits the job, but also learn how to implement a complete solution that scales, provides human fault tolerance, and supports future needs. 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)

Notes:

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (ebrary, viewed April 25, 2017).

Includes index.

ISBN:

9781491956601

1491956607

9781491956649

149195664X

9781491956625

1491956623

OCLC:

983204723