July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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Dataset abstraction
When running SQL queries from another programming language (for example, Java), the result is returned as a DataFrame. A DataFrame is a distributed collection of data organized into named columns. A dataset, on the other hand, is an interface that tries to provide the benefits of RDDs out of the Spark SQL. A dataset can be constructed from some JVM objects such as primitive types (for example, String, Integer, and Long), Scala case classes, and Java Beans. An ML pipeline involves a number of the sequences of dataset transformations and models. Each transformation takes an input dataset and outputs the transformed dataset, which becomes the input to the next stage. Consequently, the data import and export are the start ...
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