Mastering Azure Analytics

Mastering Azure Analytics
  • eBook:
    Mastering Azure Analytics: Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark
  • Author:
    Zoiner Tejada
  • Edition:
    1 edition
  • Categories:
  • Data:
    May 2, 2017
  • ISBN:
  • ISBN-13:
  • Language:
  • Pages:
    412 pages
  • Format:

Book Description
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)


1. Enterprise Analytics Fundamentals
2. Getting Data into Azure
3. Storing Ingested Data in Azure
4. Real-Time Processing in Azure
5. Real-Time Micro-Batch Processing in Azure
6. Batch Processing in Azure
7. Interactive Querying in Azure
8. Hot and Cold Path Serving Layer in Azure
9. Intelligence and Machine Learning
10. Managing Metadata in Azure
11. Protecting Your Data in Azure
12. Performing Analytics

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