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PySpark Course

PySpark Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

Gain expertise in PySpark through practical training covering event log design, schema creation, handling large JSON/CSV data, synthetic sample generation, and developing cleaning, enrichment, partitioning processes. Master aggregations, sessionization, logging, validation, and spark-submit optimisation for scalable video analytics pipelines.

Elevify advantages

Develop skills

  • Develop strong PySpark pipelines that are modular, logged, and ready for production use.
  • Create effective video event schemas featuring clear identifiers, timestamps, and playback data.
  • Produce realistic big data samples using synthetic logs that include edge cases and data skew.
  • Process, enhance, and partition PySpark DataFrames to enable quick analytics on large-scale data.
  • Fine-tune PySpark jobs through sessionization, aggregations, joins, and performance improvements.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

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... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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