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Foundations of PySpark

中级技能水平
更新时间 2025年3月
Learn to implement distributed data management and machine learning in Spark using the PySpark package.
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SparkData Engineering
4小时
45 道练习
3,850 XP
150K+
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课程描述

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 delayed. Get ready to put some Spark in your Python code and dive into the world of high-performance machine learning!

先决条件

Introduction to Python
1

Getting to know PySpark

In this chapter, you'll learn how Spark manages data and how can you read and write tables from Python.
开始章节
2

Manipulating data

In this chapter, you'll learn about the pyspark.sql module, which provides optimized data queries to your Spark session.
开始章节
3

Getting started with machine learning pipelines

PySpark has built-in, cutting-edge machine learning routines, along with utilities to create full machine learning pipelines. You'll learn about them in this chapter.
开始章节
Foundations of PySpark
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