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You're reading from  Hands-On Data Analysis with Scala

Product typeBook
Published inMay 2019
Reading LevelExpert
PublisherPackt
ISBN-139781789346114
Edition1st Edition
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Author (1)
Rajesh Gupta
Rajesh Gupta
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Rajesh Gupta

Rajesh is a Hands-on Big Data Tech Lead and Enterprise Architect with extensive experience in the full life cycle of software development. He has successfully architected, developed and deployed highly scalable data solutions using Spark, Scala and Hadoop technology stack for several enterprises. A passionate, hands-on technologist, Rajesh has masters degrees in Mathematics and Computer Science from BITS, Pilani (India).
Read more about Rajesh Gupta

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Sourcing data using Spark

Spark provides a mechanism to work with a variety of data sources and formats. It also has excellent support for integrating with the Hadoop Distributed File System (HDFS), as well as several other popular storage systems, such as Amazon S3. In this section, we will focus on the variety of data sources and formats supported by Spark.

Parquet file format

Apache Parquet (https://parquet.apache.org/) is an open source project and defines the specifications of a columnar data storage format. This storage format is extremely popular in the big data world for the following reasons:

  • It supports nested data structures, which is good because most real-world data fits more naturally into a nested structure...
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Hands-On Data Analysis with Scala
Published in: May 2019Publisher: PacktISBN-13: 9781789346114

Author (1)

author image
Rajesh Gupta

Rajesh is a Hands-on Big Data Tech Lead and Enterprise Architect with extensive experience in the full life cycle of software development. He has successfully architected, developed and deployed highly scalable data solutions using Spark, Scala and Hadoop technology stack for several enterprises. A passionate, hands-on technologist, Rajesh has masters degrees in Mathematics and Computer Science from BITS, Pilani (India).
Read more about Rajesh Gupta