Video Course
Apache Spark with Python - Programming Basics
Prerequisites
- Python basics
- Command-line basics
Abstract
Apache Spark is the most commonly used data processing engine in analytical big data platforms - almost every company employs it.
Therefore, it is probably the most critical skill to learn to become a highly-demanded data engineer.
In this video course, you will learn everything you need to know to get started as a Spark developer. Upon completion, you will
- have understood how the API is structured,
- where to find all relevant information from official sources (no-more StackOverflow),
- have developed a professional working style about Spark programming,
- know everything you'll need to build a Spark application from scratch.
Note: This course teaches how to build Spark applications with the Python programming language. There exists an identical course for Apache Spark with Scala.
Your Teacher
Philipp Brunenberg
- Bachelor's and Master's degree in computer science
- Almost a decade of experience as freelance big data software engineer
- Expert-level experience in the distributed data processing framework Apache Spark
- Publishing content on his blog and YouTube channel
- Conference speaker
- Helped many of his students becoming professional Spark developers
Your Learning Journey
Introduction
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Getting Started
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Working with Columns
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Working with multiple rows
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Working with missing data
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Working with multiple DataFrames
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Advanced transformations
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