Mastering Azure Analytics
Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark
Publisher: O'Reilly Media
Final Release Date: April 2017
Pages: 412

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)
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oreillyMastering Azure Analytics
 
3.4

(based on 5 reviews)

Ratings Distribution

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60%

of respondents would recommend this to a friend.

Pros

  • Accurate (3)
  • Easy to understand (3)
  • Helpful examples (3)
  • Well-written (3)

Cons

No Cons

Best Uses

  • Intermediate (3)
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    • Developer (4)

Reviewed by 5 customers

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1.0

Missing code

By Veer

from WA

Comments about oreilly Mastering Azure Analytics:

I am disappointed that author is not responding to the missing code comments

 
1.0

Missing Code makes it difficult to follow along

By C.Hattabaugh

from New Albany Indiana

About Me Data Engineer, Developer

Verified Reviewer

Pros

    Cons

    • Difficult to understand
    • Not comprehensive enough
    • Too many errors

    Best Uses

      Comments about oreilly Mastering Azure Analytics:

      I had high hopes for this book, The first chapter of this book does a good job of explaining Lambda and Kappa architectures and left me wanting to read more. However, the book failed my expectations thereafter. In the first part of the book, the example code is incomplete making the content difficult to follow. When it gets to the Azure analytics services the book contains noting more than definitions and brief descriptions with a link to the Microsoft website to "find out more" The book is filled with unnecessary screenshots and very little content. For example, there are screenshots of file list, meaningless code results, and even wizzard introduction pages that have not meaningful content.

      I so wanted this book to be worth reading, and unfortunately it is not .

      (1 of 1 customers found this review helpful)

       
      5.0

      Perfect introduction on data storage and analytics in Azure

      By Tom Kerkhove

      from Belgium

      About Me Developer

      Verified Reviewer

      Pros

      • Accurate
      • Easy to understand
      • Helpful examples
      • Well-written

      Cons

        Best Uses

        • Intermediate
        • Novice

        Comments about oreilly Mastering Azure Analytics:

        This book is a perfect introduction to all things data analytics & storage in Microsoft Azure. It is very well written and takes you on an adventure by using clear use-cases, how to approach it and why use that approach vs others.

         
        5.0

        Must read for Azure Big Data

        By sdrk

        from Dallas, TX

        About Me Developer

        Verified Reviewer

        Pros

        • Accurate
        • Concise
        • Easy to understand
        • Helpful examples
        • Well-written

        Cons

          Best Uses

          • Intermediate

          Comments about oreilly Mastering Azure Analytics:

          Comprehensive coverage on everything you need to build data pipelines on AZURE from data ingestion, storage, processing and visualizations. Author does a great job covering the whole landscape of Azure with respect to big data and still not make the book so overwhelming. A must read for any aspiring azure developers who are trying to venture into the big data processing

          (1 of 1 customers found this review helpful)

           
          5.0

          Awesome Book!

          By SJW

          from UK

          About Me Designer, Developer, Educator, Maker

          Verified Buyer

          Pros

          • Accurate
          • Concise
          • Easy to understand
          • Helpful examples
          • Well-written

          Cons

            Best Uses

            • Expert
            • Intermediate

            Comments about oreilly Mastering Azure Analytics:

            I'm a data platform engineer (at MS) and have used this book as a means of developing my skills in Azure Analytics using the great hands-on-labs provided in this book. In addition to the great hands-on, the author manages to articulate very clearly ALL the different ways of achieving a task and highlights pros, cons and use cases for each approach.....I have only read the first 5 chapters thus far but for anybody wanting to learn the different Azure services in the pipeline then this book is for you!

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