Apache Pinot Course
This course teaches designing and operating Apache Pinot for fast streaming analytics, covering event ingestion, table modeling, SQL optimization, and production management.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This Apache Pinot Course shows you how to design and operate fast streaming analytics, from event ingestion with Kafka or Kinesis to batch ETL from data lakes. You will model realtime and offline tables, choose the right indexes, write optimized Pinot SQL, and design robust event and profile schemas. Learn to manage latency, retention, late data, and scaling so your dashboards stay accurate, responsive, and reliable.
Elevify advantages
Develop skills
- Design real-time Pinot schemas: model events, profiles, and content in days, not weeks.
- Build streaming pipelines: ingest Kafka/Kinesis data into Pinot for live analytics fast.
- Tune Pinot tables and indexes: optimise partitioning, keys, and query latency quickly.
- Write high-impact Pinot SQL: rollups, funnels, HLL distinct counts, and conversions.
- Operate Pinot in production: monitor latency, retention, scaling, and late data safely.
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.What our students say
Your classes are perfect. I got the one-year package and finally have the chance to follow a range of 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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