January 2019
Beginner to intermediate
154 pages
4h 31m
English
Content preview from Apache Spark Quick Start Guide
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Spark SQL
Spark SQL is where developers can work with structured and semi-structured data such as Hive tables, MySQL tables, Parquet files, AVRO files, JSON files, CSV files, and more. Another alternative to process structured data is using Hive. Hive processes structured data stored on HDFS using Hive Query Language (HQL). It internally uses MapReduce for its processing, and we shall see how Spark can deliver better performance than MapReduce. In the initial version of Spark, structured data used to be defined as schema RDD (another type of an RDD). When there is data along with the schema, SQL becomes the first choice of processing that data. Spark SQL is Spark's component that enables developers to process data with Structured Query Language ...
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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.