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Taming Big Data with Apache Spark 4 and Python - Hands On!

PySpark tutorial with 40+ hands-on examples of analyzing large data sets on your desktop or on Hadoop with Python!
4.5 ★★★★★111,578 studentsCreated by Frank Kane, Sundog Education by Frank Kane, Sundog Education TeamLast updated Nov 13, 2025🌐 English

What you'll learn

✓Use DataFrames and Structured Streaming in Spark 4
✓Use the MLLib machine learning library to answer common data mining questions
✓Understand how Spark Streaming lets your process continuous streams of data in real time
✓Frame big data analysis problems as Spark problems
✓Use Amazon's Elastic MapReduce service to run your job on a cluster with Hadoop YARN
✓Install and run Apache Spark on a desktop computer or on a cluster
✓Use Spark's Resilient Distributed Datasets to process and analyze large data sets across many CPU's
✓Implement iterative algorithms such as breadth-first-search using Spark
✓Understand how Spark SQL lets you work with structured data
✓Tune and troubleshoot large jobs running on a cluster
✓Share information between nodes on a Spark cluster using broadcast variables and accumulators
✓Understand how the GraphX library helps with network analysis problems

Requirements

•Access to a personal computer. This course uses Windows, but the sample code will work fine on Linux as well.
•Some prior programming or scripting experience. Python experience will help a lot, but you can pick it up as we go.

Description

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Student Feedback

4.5
★★★★★
Course Rating
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Sarah J.
★★★★★2 weeks ago

This course was absolutely amazing! The instructor explained everything clearly and the projects were very helpful.

M
Michael T.
★★★★1 month ago

Great content, highly recommended for beginners. Just wish there were more practice exercises.

D
David K.
★★★★★2 months ago

Best course on this topic I've taken so far. Worth every penny (even better since I got it for free!).

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This course includes:
  • 📺 9h on-demand video
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  • ♾️ Full lifetime access
  • 🏆 Certificate of completion