April 2017
Intermediate to advanced
532 pages
12h 39m
English
book
Machine Learning with Spark - Second Edition
by Rajdeep Dua, Brian O'Neill, Stephen Boesch, Manpreet Singh Ghotra, Nick Pentreath
Content preview from Machine Learning with Spark - Second Edition
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Spark data frame
In Apache Spark, a Dataset is a distributed collection of data. The Dataset is a new interface added since Spark 1.6. It provides the benefits of RDDs with the benefits of Spark SQL's execution engine. A Dataset can be constructed from JVM objects and then manipulated using functional transformations (map, flatMap, filter, and so on). The Dataset API is available only for in Scala and Java. It is not available for Python or R.
A DataFrame is a dataset with named columns. It is equivalent to a table in a relational database or a data frame in R/Python, with richer optimizations. DataFrame is constructed from structured data files, tables in Hive, external databases, or existing RDDs. The DataFrame API is available in Scala, ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.