Apache Pinot Course
This course equips you to master Apache Pinot for real-time analytics. Delve into streaming data ingestion, advanced table modelling, indexing strategies, and Pinot SQL to build low-latency dashboards. Optimise query speeds and create resilient, scalable OLAP systems perfect for today's data-intensive applications and products.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain expertise in designing and managing high-speed streaming analytics using Apache Pinot, covering event ingestion from Kafka or Kinesis and batch ETL from data lakes. Master real-time and offline table modelling, optimal index selection, efficient Pinot SQL writing, and robust schema design for events and profiles. Handle latency, data retention, late arrivals, and scaling to ensure dashboards remain precise, quick, and dependable.
Elevify advantages
Develop skills
- Design efficient real-time Pinot schemas for events, profiles, and content in just days.
- Set up streaming pipelines to ingest Kafka or Kinesis data into Pinot for instant analytics.
- Optimise Pinot tables and indexes by fine-tuning partitioning, keys, and query performance.
- Craft powerful Pinot SQL queries including rollups, funnels, distinct counts, and conversions.
- Manage production Pinot clusters by monitoring latency, retention, scaling, and handling late data.
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
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