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Hadoop Application Architectures: Designing Real-World Big Data Applications

Amazon.com Price:  $45.80 (as of 22/04/2019 22:49 PST- Details)

Description

Get expert guidance on architecting end-to-end data management solutions with Apache Hadoop. Whilst many sources provide an explanation for how to use more than a few components in the Hadoop ecosystem, this practical book takes you through architectural considerations necessary to tie those components together into a complete tailored application, based on your particular use case.

To make stronger those lessons, the book’s second section provides detailed examples of architectures used in one of the most most frequently found Hadoop applications. Whether you’re designing a new Hadoop application, or planning to integrate Hadoop into your existing data infrastructure, Hadoop Application Architectures will skillfully guide you through the process.

This book covers:

  • Factors to imagine when the use of Hadoop to store and model data
  • Best practices for moving data out and in of the system
  • Data processing frameworks, including MapReduce, Spark, and Hive
  • Common Hadoop processing patterns, such as taking out duplicate records and the use of windowing analytics
  • Giraph, GraphX, and other tools for large graph processing on Hadoop
  • Using workflow orchestration and scheduling tools such as Apache Oozie
  • Near-real-time stream processing with Apache Storm, Apache Spark Streaming, and Apache Flume
  • Architecture examples for clickstream analysis, fraud detection, and data warehousing
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