Table 1.

Big data analytics tools

Platforms and tools	Description
Advanced data visualization	ADV can reduce quality problems which can occur when retrieving medical data for extra analysis
Presto	Distributed SQL query engine used to analyze huge amount of data that collected every single day
The Hadoop Distributed File System (HDFS)	HDFS enables the underlying storage for the Hadoop cluster and enhances healthcare data analytics system by dividing large amount of data into smaller one and distributed it across various servers/nodes
MapReduce	Breaks task into subtasks and gathering its outputs and efficient for large amount of data
Mahout	An apache project, goal is to generate free applications of distributed and scalable ML algorithms that supports healthcare data analytics on Hadoop systems
Jaql	Functional, declarative query language, aim to process large datasets. It facilitates parallel processing by converting high-level queries into low-level ones
PIG and PIG Latin	Configured to assimilate all types of data (structured/unstructured, etc.)
Avro	Facilitates data encoding and serialization that improves data structure by specifying data types, meaning and scheme
Zookeeper	Allows a centralized infrastructure with various services, providing synchronization across a cluster of servers
Hive	Hive is a run-time Hadoop support architecture that permits to develop Hive Query Language (HQL) statements akin to typical SQL statements