Mark Grover,Ted Malaska,Jonathan Seidman,Gwen Shapira: Hadoop Application Architectures

Hadoop Application Architectures


Description

Get expert guidance on architecting end-to-end data management solutions with Apache Hadoop. While many sources explain how to use various 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 reinforce those lessons, the book's second section provides detailed examples of architectures used in some of the most commonly 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 consider when using Hadoop to store and model data Best practices for moving data in and out of the system Data processing frameworks, including MapReduce, Spark, and Hive Common Hadoop processing patterns, such as removing duplicate records and using 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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Author: Mark Grover,Ted Malaska,Jonathan Seidman,Gwen Shapira
Number of Pages: 400 pages
Published Date: 25 Jul 2015
Publisher: O'Reilly Media, Inc, USA
Publication Country: Sebastopol, United States
Language: English
ISBN: 9781491900086
Download Link: Click Here
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