Hadoop Application Architectures pdf epub mobi txt 电子书 下载 2024


Hadoop Application Architectures

简体网页||繁体网页
Mark Grover
O'Reilly Media
2015-4
250
49.99
Paperback
9781491900086

图书标签: 大数据  Hadoop  hadoop  架构  计算机  Architecture  英文版  O'Reilly   


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    发表于2024-06-27

    Hadoop Application Architectures epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

    Hadoop Application Architectures epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

    Hadoop Application Architectures pdf epub mobi txt 电子书 下载 2024



    图书描述

    With Early Release ebooks, you get books in their earliest form — the author's raw and unedited content as he or she writes — so you can take advantage of these technologies long before the official release of these titles. You'll also receive updates when significant changes are made, new chapters as they're written, and the final ebook bundle.

    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 architecture used in some of the most commonly found Hadoop applications. Whether you’re designing and implementing a new Hadoop application, or planning to integrate Hadoop into your existing data infrastructure, Hadoop Application Architectures will skillfully guide you through the process.

    The Early Release edition begins with chapters that concentrate on design considerations for Data Modeling and Data Movement in Hadoop:

    Explore whether your application should store data on Hadoop Distributed File System (HDFS) or HBase

    Get best practices for designing an HDFS or HBase schema

    Learn how to design schemas for SQL-on-Hadoop (e.g. Hive, Impala, HCatalog) tables

    Hadoop Application Architectures 下载 mobi epub pdf txt 电子书

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    对比了常用的hadoop组件。描述了两个应用场景。内容比较新,但也缺乏很新的技术,例如Kudu+impala,kappa架构等。

    评分

    对比了常用的hadoop组件。描述了两个应用场景。内容比较新,但也缺乏很新的技术,例如Kudu+impala,kappa架构等。

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    大数据系统工程化,很赞

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