SPARK is a programming language designed for the development of high-performance parallel and distributed computing applications. It is based on the Scala programming language and the Apache Spark platform.
SPARK was developed at the University of California, Berkeley's AMPLab. The SPARK team is composed of researchers from the AMPLab, the Databricks company, and other contributors.
The language has been designed to target two main use cases:
1. High-performance computing applications that need to leverage the power of parallel and distributed computing.
2. Big data applications that need to process large amounts of data quickly and efficiently.
The SPARK programming language is based on the Scala programming language. Scala is a general-purpose programming language that runs on the Java Virtual Machine (JVM). The SPARK team has added several features to the Scala language to make it more suitable for the development of high-performance parallel and distributed computing applications.
The main features of the SPARK programming language are:
1. Support for concurrent and distributed programming.
2. Support for high-performance computing.
3. Support for big data applications.
4. A rich set of libraries and tools.
The SPARK programming language is open source and is released under the Apache License 2.0.