In this tutorial, you'll learn about PySpark. PySpark is an interface for Apache Spark in Python.
☞ https://morioh.com/p/3b267a5f96de
PySpark Tutorial
☞ https://morioh.com/p/d9db4ca5b7e5
PySpark Cheat Sheet: Spark in Python
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It not only allows you to write Spark applications using Python APIs, but also provides the PySpark shell for interactively analyzing your data in a distributed environment. PySpark supports most of Spark’s features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core.
PySpark Cheat Sheet: Spark DataFrames in Python
1 - Installation & Configuration
This video will show you how to install and configure Apache Spark on a Linux machine.
Notice that in newer versions of Spark, "Slave" has been replaces by "Worker".
2 - Interacting with Apache Spark Cluster
You will learn the general rules on how to interact with an Apache Spark cluster.
3 - Reading in Data
You will learn how to read in different types of data into Apache Spark with pySpark.
4 - Select, Filter, and Sort
You will learn about the most basic operators of pySpark. You will be able to select columns, filter rows and sort your dataframe.
5 - Aggregation
You will learn how to aggregate your dataframe.
6 - Functions
You will learn how to apply functions to your data. With these functions, you can create new or change existing columns in your dataframe
7 - Join, Union, and Pivot
You will learn how to join, union, and pivot your dataframes.
8 - User Defined Functions, Pandas, and Collect
You will learn how to wrangle your data if pySpark has no solution out of the box.
9 - Writing Data
You will learn how to write your Spark dataframes.
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