Big Data Analytics and Its Applications

TL;DR

This paper discusses the significance of Big Data analytics across various sectors, highlighting its applications, benefits, and recent technological developments, with a focus on healthcare data management.

Contribution

It presents an effective, open-source solution for big data applications in distributed environments and reviews recent advancements in big data technology.

Findings

Hadoop enables scalable big data processing.

Big data analytics improves decision-making in healthcare.

Open-source tools facilitate accessible big data solutions.

Abstract

The term, Big Data, has been authored to refer to the extensive heave of data that can't be managed by traditional data handling methods or techniques. The field of Big Data plays an indispensable role in various fields, such as agriculture, banking, data mining, education, chemistry, finance, cloud computing, marketing, health care stocks. Big data analytics is the method for looking at big data to reveal hidden patterns, incomprehensible relationship and other important data that can be utilize to resolve on enhanced decisions. There has been a perpetually expanding interest for big data because of its fast development and since it covers different areas of applications. Apache Hadoop open source technology created in Java and keeps running on Linux working framework was used. The primary commitment of this exploration is to display an effective and free solution for big data application in a distributed environment, with its advantages and indicating its easy use. Later on, there emerge to be a required for an analytical review of new developments in the big data technology. Healthcare is one of the best concerns of the world. Big data in healthcare imply to electronic health data sets that are identified with patient healthcare and prosperity. Data in the healthcare area is developing past managing limit of the healthcare associations and is relied upon to increment fundamentally in the coming years.