Data-Analytics-with-Hadoop.pdf
ISBN: 9781491913703 | 230 pages | 6 Mb
Download Data Analytics with Hadoop: An Introduction for Data Scientists
If you’re a data scientist ready to tackle statistical and machine learning techniques across large data sets, this practical guide provides a solid introduction to the world of clustered computing and analytics with Hadoop. Instead of deployment, operations, or software development, this book focuses on particular analyses you can build, the data warehousing techniques that Hadoop provides, and the higher order data workflows it can produce. You’ll learn a wide range of topics, from the basics of using MapReduce and Spark with Python to advanced modeling and data management using Spark MLlib, Hive, and HBase. You'll gain an understanding of the analytical processes and data systems available to build and empower data products that require huge amounts of data.
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