March 2019
Beginner to intermediate
182 pages
4h 6m
English
Content preview from Hands-On Big Data Analytics with PySpark
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Using DataFrame operations to transform
The data from the API has an RDD underneath it, and so there is no way that the DataFrame could be mutable. In DataFrame, the immutability is even better because we can add and subtract columns from it dynamically, without changing the source dataset.
In this section, we will cover the following topics:
- Understanding DataFrame immutability
- Creating two leaves from the one root DataFrame
- Adding a new column by issuing transformation
We will start by using data from operations to transform our DataFrame. First, we need to understand DataFrame immutability and then we will create two leaves, but this time from the one root DataFrame. We will then issue a transformation that is a bit different than the ...
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