3 years ago

Category: Data, Kubernetes

"With thousands of contributing developers and global use of the features and tools, Spark libraries and functionality are growing by the day." Spark is a distributed open-source cluster-computing framework and includes an interface for programming a full suite of clusters with comprehensive fault tolerance and support for data parallelism. Apache Spark is scalable and provides great performance for streaming and batch data with a physical execution engine, a scheduler, and a query optimizer designed to streamline processing and ensure solid performance.

"If you are contemplating a software development project to support Big Data, Apache Spark should definitely be on your short list of considerations for a computing framework."