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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
評分
評分
評分
評分
對比瞭常用的hadoop組件。描述瞭兩個應用場景。內容比較新,但也缺乏很新的技術,例如Kudu+impala,kappa架構等。
评分對比瞭常用的hadoop組件。描述瞭兩個應用場景。內容比較新,但也缺乏很新的技術,例如Kudu+impala,kappa架構等。
评分不錯o
评分不錯o
评分看的影印版,覆蓋的比較全麵,具體的技術還要自己更深入的看
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