PySpark Course
Master PySpark for real-world data engineering. Build scalable pipelines, design event log schemas, clean and enrich big data, optimize performance, and deliver production-ready analytics for video and streaming platforms.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
Master PySpark with a focused, hands-on course that takes you from clean event log design to optimized, production-ready pipelines. Learn to define robust schemas, ingest large JSON/CSV datasets, generate realistic samples, and build modular cleaning, enrichment, and partitioning workflows. Practice aggregations, sessionization, logging, validation, and tuning spark-submit for reliable, scalable video analytics jobs.
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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

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

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

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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