Apache Spark Course
This course equips you with Apache Spark skills for practical analytics, including building data lakes, cleaning and modelling e-commerce data, crafting Spark SQL and DataFrame queries, performance tuning, and delivering production-ready pipelines for modern data engineering teams. Master scalable solutions for revenue, funnels, and user insights with robust Spark practices.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain expertise in Apache Spark to create reliable, high-performance analytics using DataFrames and Spark SQL for revenue tracking, conversion funnels, device usage, and top spenders analysis. Design e-commerce data lakes, set up Spark environments, enforce data schemas, clean datasets, optimise queries, and build reproducible, tested jobs for data-intensive real-world projects.
Elevify advantages
Develop skills
- Build revenue and funnel analytics using 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 using Spark SQL.
- Optimise 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 say
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