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Introducing .NET for Apache Spark: Distributed Processing for Massive Datasets
book

Introducing .NET for Apache Spark: Distributed Processing for Massive Datasets

by Ed Elliott
April 2021
Beginner to intermediate
269 pages
5h 8m
English
Apress
Content preview from Introducing .NET for Apache Spark: Distributed Processing for Massive Datasets
© Ed Elliott 2021
E. ElliottIntroducing .NET for Apache Sparkhttps://doi.org/10.1007/978-1-4842-6992-3_1

1. Understanding Apache Spark

Ed Elliott1  
(1)
Sussex, UK
 

Apache Spark is a data analytics platform that has made big data accessible and brings large-scale data processing into the reach of every developer. With Apache Spark, it is as easy to read from a single CSV file on your local machine as it is to read from a million CSV files in a data lake.

An Example

Let us look at an example. The code in Listings 1-1 (C#) and 1-2 (the F# version) reads from a set of CSV files and counts how many records match a specific condition. The code reads all CSV files in a specific path, so the number of files we read from is practically limitless.

Although the ...

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Publisher Resources

ISBN: 9781484269923Purchase LinkPublisher Website