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Apache PySpark Fundamentals

Learn PySpark, fundamentals of Apache Spark with Python
(186 reviews)
1,045 students
Created by


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Platform: Udemy
Video: 1h 35m
Language: English
Next start: On Demand

Table of contents


PySpark is the collaboration of Apache Spark and Python. This course covers all the fundamentals of Apache Spark with Python and teaches you everything you need to know about developing Spark applications using PySpark, the Python API for Spark. At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analysis.
This course helps you get comfortable with PySpark, explaining what it has to offer and how it can enhance your data science work. We’ll first get into the Spark ecosystem, detailing its advantages over other data science platforms, APIs, and tool sets.
Next, we’ll look at the DataFrame API and how it’s the platform’s answer to many big data challenges. We’ll also go over Resilient Distributed Datasets (RDDs), the building blocks of Spark.

You will learn

✓ Learn the fundamentals of PySpark
✓ Learn about the Apache Spark ecosystem
✓ Working with columns and rows
✓ Working with the DataFrame API
✓ Learn about leveraging built-in Spark functions
✓ Learn how to create your own functions in Spark


• Understanding of Python and Spark

This course is for

• Programmers and Developers
• Anyone intersted in learning PySpark
I am a computer programmer working with IoT and server-less technologies. Developing backends and hybrid software. I have consulted with various Fortune 500 companies in helping them developing software. I’m experienced in Python and experienced in C++, Java, and JavaScript. I love to build and teach how to build skills that are helpful and intuitive to use for experienced and first-time users.
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Platform: Udemy
Video: 1h 35m
Language: English
Next start: On Demand

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