This course introduces you to the powerful ecosystem of tools used to process, analyze, and manage massive datasets. Designed for beginners and aspiring data professionals, this course provides a clear, practical foundation in distributed computing and big data architectures. You’ll learn how Apache Spark and Hadoop work together to handle data at scale, exploring core concepts such as distributed storage, parallel processing, resilient data operations, and large-scale analytics.

Through hands-on exercises, you’ll gain experience using Spark for fast, in-memory computation and Hadoop for reliable, fault-tolerant data management.