Apache Spark is a lightning-fast processing engine built around cluster computing technology. This is designed for fast computation, ease of use and for analytical purposes. The main feature of Spark is its in-memory computation which helps in improving the speed of an application exponentially. This ability syncs perfectly with the required Computational ability for ETL, Machine Learning and Data Science Workloads.

Spark is designed to cover a wide range of workloads such as: batch process, iterative workload, interactive queries and for streaming data. Spark helps in processing all these data/ work types, without having to manage the burden of maintaining these separate tools.Learn Spark in Learn Spark in an online setting for learning that will last a lifetime.