Apache Spark Course
This course teaches building reliable, high-performance analytics using Apache Spark with DataFrames and Spark SQL for e-commerce applications, covering data lake design, environment configuration, data cleaning, query optimization, and production-ready job development.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
This Apache Spark Course shows you how to build reliable, high-performance analytics with DataFrames and Spark SQL, from daily revenue and conversion funnels to device usage and top spenders. You will design realistic e-commerce data lakes, configure Spark environments, enforce schemas, clean data, tune queries, and deliver reproducible, well-tested jobs ready for real-world, data-intensive projects.
Elevify advantages
Develop skills
- Build revenue and funnel analytics in Spark with real e-commerce DataFrames.
- Design robust data lakes and schemas for scalable Spark e-commerce workloads.
- Configure Spark environments, storage, and I/O for fast, reliable pipelines.
- Clean, validate, and enforce schemas on CSV and Parquet data with Spark SQL.
- Optimize Spark jobs with query plans, joins, caching, and smart partitioning.
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 are saying
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