Apache Spark offers a blazing fast processing engine based out of Apache Hadoop. It provides in-memory cluster processing of the data, thereby providing analytics at high speeds. Apache Spark evolved in AMPLab (U. C. Berkeley) in 2009 and it was made open source through the Apache Software Foundation. Apache Spark is based out of YARN. Following are key features of Apache Spark:
- Fast: Due to in-memory processing capability, Spark is fast in processing
- Multiple language support: You can write Spark programs in Java, Scala, R, and Python
- Deep analytics: It provides truly distributed analytics, which includes machine learning, streaming data processing, and data querying
- Rich API support: It provides a rich API library for interaction in multiple languages
- Multi-processing engine support: Apache Spark can be deployed on MapReduce, YARN, and Mesos...
