Mastering Azure Analytics: Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark

Mastering Azure Analytics: Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark

<div><p>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.</p><p>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.</p><ul><li>Understand the fundamental patterns of the data lake and lambda architecture</li><li>Recognize the canonical steps in the analytics data pipeline and learn how to use Azure Data Factory to orchestrate them</li><li>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</li><li>Understand where Azure Machine Learning fits into your analytics pipeline</li><li>Gain experience using these services on real-world data that has real-world problems, with scenarios ranging from aviation to Internet of Things (IoT)</li></ul></div>