首頁外文書商業行銷金融會計 〉Data Analytics with Hadoop: An Introduction for Data Scientists
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Data Analytics with Hadoop: An Introduction for Data Scientists

Data Analytics with Hadoop: An Introduction for Data Scientists


作者  /  Benjamin Bengfort/ Jenny Kim

出版社 / Baker & Taylor

出版日期 / 2016/06/18

商品語言 / 英文

裝訂 / 平裝

定價 / NT$1,000

售價 / 9折, NT$ 900

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Data Analytics with Hadoop: An Introduction for Data Scientists 其它優惠/消息


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內容簡介

Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you’ll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data workflows this framework can produce.

Data scientists and analysts will learn how to perform a wide range of techniques, from writing MapReduce and Spark applications with Python to using advanced modeling and data management with Spark MLlib, Hive, and HBase. You’ll also learn about the analytical processes and data systems available to build and empower data products that can handle—and actually require—huge amounts of data.

●Understand core concepts behind Hadoop and cluster computing
●Use design patterns and parallel analytical algorithms to create distributed data analysis jobs
●Learn about data management, mining, and warehousing in a distributed context using Apache Hive and HBase
●Use Sqoop and Apache Flume to ingest data from relational databases
●Program complex Hadoop and Spark applications with Apache Pig and Spark DataFrames
●Perform machine learning techniques such as classification, clustering, and collaborative filtering with Spark’s MLlib







詳細資料

誠品26碼 /2681435872004
ISBN 13 /9781491913703
ISBN 10 /1491913703
EAN /9781491913703

頁數288
尺寸23.3X17.9CM
裝訂平裝
級別
語言英文
成份




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