PySpark Course
This hands-on PySpark course teaches you to build scalable data pipelines for video analytics, from schema design and data generation to optimization and production deployment.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Master PySpark through a practical, hands-on course that guides you from designing clean event logs to creating efficient, production-ready pipelines. Learn to establish strong schemas, process large JSON/CSV datasets, create realistic samples, and develop modular workflows for cleaning, enriching, and partitioning data. Gain experience in aggregations, sessionization, logging, validation, and tuning spark-submit for dependable, scalable video analytics tasks.
Elevify advantages
Develop skills
- Build robust PySpark pipelines: modular, logged, and production-ready.
- Design video event schemas: clean identifiers, timestamps, and playback metrics.
- Generate realistic big data samples: synthetic logs with edge cases and skew.
- Clean, enrich, and partition PySpark DataFrames for fast analytics at scale.
- Optimize PySpark jobs: sessionization, aggregations, joins, and performance tuning.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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