PySpark tutorial with 40+ hands-on examples of analyzing large data sets on your desktop or on Hadoop with Python!
InstructorSundog Education by Frank KaneThe curriculum includes over 40 examples, ranging from local data analysis to complex tasks like implementing Breadth-First Search using accumulators and broadcast variables.
Instruction covers scaling workloads from a local machine to clusters using Amazon's Elastic MapReduce service.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This slide outlines custom Python data sources in PySpark, listing key capabilities alongside a code example that subclasses DataSource to generate synthetic data.
This slide illustrates the Breadth-First Search algorithm in action using a graph structure where nodes are assigned distance values from a starting point.
This screenshot displays the IMDb-style interface for Star Trek: Deep Space Nine, showing the movie poster, plot summary, and user interaction buttons.
A clear exterior shot of a modern office building displaying the prominent Amazon brand signage, visually representing the cloud infrastructure context for big data processing.
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One signal from September 2025 suggests the content may be too high-level, with a focus on RDDs; because this predates the displayed update date, it is uncertain if recent changes have addressed this.
One signal from August 2025 indicates potential difficulties when following local installation steps; the displayed update date does not prove these issues were corrected.
The curriculum aligns well with the goal of teaching Spark to those with some programming background.