SPARK

Spark was designed for fast, interactive computation that runs in memory, enabling machine learning to run quickly. The algorithms include the ability to do classification, regression, clustering, collaborative filtering, and pattern mining.Spark is considered the speed leader among ETL tools, but some software is better suited for highly specialized tasks. Apache Spark alternatives include Elasticsearch, Apache Sqoop, and Visual Flow. SPARK is a formally defined computer programming language based on the Ada programming language, intended for the development of high integrity software used in systems where predictable and highly reliable operation is essential. Apache Spark is a powerful open-source analytics engine that has become increasingly popular in recent years. There are many reasons for Spark's popularity, but some of the most important benefits include its speed, ease of use, and ability to handle large data sets. Spark provides both machine learning and graph processing libraries, which companies across sectors leverage to tackle complex problems. And all this is easily done using the power of Spark and highly scalable clustered computers. Databricks provides an Advanced Analytics platform with Spark.