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)
Також купити книгу Mastering Azure Analytics: Architecting in the Cloud with
Azure Data Lake, HDInsight, and Spark, Zoiner Tejada Ви можете по посиланню