[Retracted] A Novel Intelligent Hybrid Optimized Analytics and Streaming Engine for Medical Big Data

Table 2

Spark engines’ features and its functionalities.

Sl. no.	Spark features	Functionalities
1	Spark SQL	Formerly known as Shark. Spark SQL is a distributed framework that works different categories of data.
2	Spark streaming layers	These layers are used for an effective real-time streaming.
3	Spark ML	This module in Spark provides scalable machine learning algorithms for big data analytics. Moreover, it can be programmed either using Python or Java.
4	Spark R	It is computational R programming packages used for data analytics.
5	GraphX	It is a computational tool used for creating discrete graphs for various data.
6	SparkCore	It is the top core of Spark in which the models are deployed.