Data Analytics with Hadoop - Bengfort Benjamin

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Ready to use statistical and machine-learning techniques across large data sets? 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… Celý popis ↓

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Data Analytics with Hadoop - Bengfort Benjamin

Ready to use statistical and machine-learning techniques across large data sets? 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. This practical guide shows you why the Hadoop ecosystem is perfect for the job.

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

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