A Study on Big Data Analytics Tools
R. Devi, K. Sharmila
Abstract
Open-access reader
R. Devi, K. Sharmila
Abstract
Open-access reader
In this digital era, the emerging trends and technologies such as Internet of things and cloud computing really deals with huge and huge volume of data [1]. [3]Big Data Analytics has been gaining much focus of attention lately as researchers from industry and academia are trying to effectively extract and employ all possible knowledge from the overwhelming amount of data generated and received. Study of these massive data requires many levels to extract knowledge for decision making. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques [2]. Such huge data has to be studied and handled to extract knowledge from these datasets. Hence Big Data analysis is a current research area that mainly explore the potential impact of big data challenges, various tools used for big data analysis. This article deals with big data at numerous levels and opens a new horizon for researchers.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In this digital era, the emerging trends and technologies such as Internet of things and cloud computing really deals with huge and huge volume of data [1]. [3]Big Data Analytics has been gaining much focus of attention lately as researchers from industry and academia are trying to effectively extract and employ all possible knowledge from the overwhelming amount of data generated and received. Study of these massive data requires many levels to extract knowledge for decision making. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques [2]. Such huge data has to be studied and handled to extract knowledge from these datasets. Hence Big Data analysis is a current research area that mainly explore the potential impact of big data challenges, various tools used for big data analysis. This article deals with big data at numerous levels and opens a new horizon for researchers.
Key concepts: Big data, Data science, Computer science, Variety (cybernetics), Cloud computing, Analytics, Volume (thermodynamics), Data analysis