Learn to implement distributed data management and machine learning in Spark using the PySpark package.
In this course you'll learn how to use Spark from Python! Spark is a tool for doing parallel computation with large datasets and it integrates well with Python. PySpark is the Python package that makes the magic happen. You'll use this package to work with data about flights from Portland and Seattle. You'll learn to wrangle this data and build a whole machine learning pipeline to predict whether or not flights will be late. Get ready to put some Spark in your Python code and dive into the world of high performance machine learning!
In this chapter, you'll learn how Spark manages data and how can you read and write tables from Python.
In this chapter, you'll learn about the pyspark.sql module, which provides optimized data queries to your Spark session.
PySpark provides cutting edge machine learning routines built in, along with utilities for creating full machine learning pipelines. You'll learn about them in this chapter.
In this last chapter, you'll apply what you've learned to create a model that predicts what flights will be delayed!