Taming Big Data with Apache Spark 4 and Python - Hands On!
Learn PySpark! Master big data analysis with Python. 40+ hands-on examples for desktop & Hadoop. Get started today!
Course Content
Taming Big Data with Apache Spark 4 and Python - Hands On! is an all-levels Udemy course taught by Sundog Education by Frank Kane. It runs 8h 45m, is taught in English, and includes a certificate of completion. Learners rate it 4.4 out of 5 from 17,599 reviews, with 111,329 students enrolled. It is a paid course, last updated September 2025.
New! Updated for Spark 4: Master Apache Spark with Python for Big Data Analysis
Unlock the power of big data with this comprehensive course on Apache Spark and PySpark. Learn the hottest technology used by industry giants like Amazon, eBay, NASA JPL, and Yahoo to extract valuable insights from massive datasets across Hadoop clusters. You'll gain practical skills using your own Windows system – it's easier than you think!
This course focuses on framing data analysis problems as Spark problems, providing over 20 hands-on examples that scale to cloud computing services. Learn from an experienced engineer and senior manager with a background at Amazon and IMDb.
Key Concepts & Skills You'll Master:
- Spark DataFrames and Resilient Distributed Datastores: Understand the core building blocks of Spark.
- Python & PySpark Development: Develop and run Spark jobs quickly using Python.
- Iterative & Multi-Stage Spark Scripts: Translate complex analysis into efficient Spark scripts.
- Cloud Scaling: Scale your Spark jobs using Amazon's Elastic MapReduce (EMR) service.
- Hadoop YARN Integration: Understand how Hadoop YARN distributes Spark across computing clusters.
- Advanced Spark Technologies: Explore Spark SQL, Spark Streaming, and GraphX.
- Latest Spark Features: Practice with Pandas-On-Spark, Spark Connect, and User-Defined Table Functions (UDTFs).
Hands-On Learning & Engaging Projects:
This course is highly practical! You'll spend most of your time coding alongside the instructor, analyzing real-world data.
- Movie Data Analysis: Discover relationships between movies and find similar titles using a million movie ratings.
- Social Graph Analysis: Analyze a superhero social graph to identify the most popular superhero and explore "degrees of separation" between them.
- Real-World Code Examples: Over 40 examples of increasing complexity, ready to build, run, and study.
Course Highlights:
- 8 hours of video content
- Practical exercises on your own system and in the cloud (Amazon EMR)
- Learn from an industry expert
- Uses the familiar Python programming language. (Scala course available for optimal performance).
What You'll Achieve:
By the end of this course, you'll be confidently running code to analyze gigabytes of information in the cloud – in minutes!
What Others Are Saying:
"Wrangling big data with Apache Spark is an important skill in today's technical world. Enroll now!" - Cleuton Sampaio De Melo Jr.
"Awesome course on running big data jobs on Apache Spark using Python. As usual, Frank explains things very clearly and points out various items to watch out for and make sure you have set up correctly. There are many ways that a Spark job can fail or have issues, such as running out of memory, and Frank does a great job of pointing many of those out." - James Gershfiel
"Easy steps so even a beginner should be able to install Spark and run the examples right away. Good examples and fun to do. Giving a nice set of useful examples as a toolbox." - HansEV
"Great course to get you going with Apache Spark and Python! Frank’s delivery is very thorough yet unpretentious; his explanations for each new concept that he introduces is down to earth and easy to follow." - Amiri McCain
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