Apache Spark is a unified distributed computing engine across different workloads and platforms. Spark can connect to different platforms and process different data workloads using a variety of paradigms such as Spark streaming, Spark ML, Spark SQL, and Spark GraphX.
Apache Spark is a fast in-memory data processing engine with elegant and expressive development APIs to allow data workers to efficiently execute streaming machine learning or SQL workloads that require fast interactive access to data sets. Apache Spark consists of Spark core and a set of libraries. The core is the distributed execution engine and the Java, Scala, and Python APIs offer a platform for distributed application development. Additional libraries built on top of the core allow workloads for streaming, SQL, Graph processing, and machine learning. Spark ML, for instance, is designed...
