March 2019
Beginner to intermediate
182 pages
4h 6m
English
Content preview from Hands-On Big Data Analytics with PySpark
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An overview of PySpark
Before we start with installing PySpark, which is the Python interface for Spark, let's go through some core concepts in Spark and PySpark. Spark is the latest big data tool from Apache, which can be found by simply going to http://spark.apache.org/. It's a unified analytics engine for large-scale data processing. This means that, if you have a lot of data, you can feed that data into Spark to create some analytics at a good speed. If we look at the running times between Hadoop and Spark, Spark is more than a hundred times faster than Hadoop. It is very easy to use because there are very good APIs for use with Spark.
The four major components of the Spark platform are as follows:
- Spark SQL: A clearing language for ...
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