The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Big Data Analytics Tools and Platform in Big Data Landscape
|
|
Author(s): Mohd Imran (Aligarh Muslim University, India), Mohd Vasim Ahamad (Aligarh Muslim University, India), Misbahul Haque (Aligarh Muslim University, India)and Mohd Shoaib (Aligarh Muslim University, India)
Copyright: 2018
Pages: 10
Source title:
Handbook of Research on Pattern Engineering System Development for Big Data Analytics
Source Author(s)/Editor(s): Vivek Tiwari (International Institute of Information Technology, India), Ramjeevan Singh Thakur (Maulana Azad National Institute of Technology, India), Basant Tiwari (Hawassa University, Ethiopia)and Shailendra Gupta (AISECT University, India)
DOI: 10.4018/978-1-5225-3870-7.ch006
Purchase
|
Abstract
The term big data analytics refers to mining and analyzing of the voluminous amount of data in big data by using various tools and platforms. Some of the popular tools are Apache Hadoop, Apache Spark, HBase, Storm, Grid Gain, HPCC, Casandra, Pig, Hive, and No SQL, etc. These tools are used depending on the parameter taken for big data analysis. So, we need a comparative analysis of such analytical tools to choose best and simpler way of analysis to gain more optimal throughput and efficient mining. This chapter contributes to a comparative study of big data analytics tools based on different aspects such as their functionality, pros, and cons based on characteristics that can be used to determine the best and most efficient among them. Through the comparative study, people are capable of using such tools in a more efficient way.
Related Content
|
Preethi, Sapna R., Mohammed Mujeer Ulla.
© 2023.
16 pages.
|
|
Srividya P..
© 2023.
12 pages.
|
|
Preeti Sahu.
© 2023.
15 pages.
|
|
Vandana Niranjan.
© 2023.
23 pages.
|
|
S. Darwin, E. Fantin Irudaya Raj, M. Appadurai, M. Chithambara Thanu.
© 2023.
33 pages.
|
|
Shankara Murthy H. M., Niranjana Rai, Ramakrishna N. Hegde.
© 2023.
23 pages.
|
|
Jothimani K., Bhagya Jyothi K. L..
© 2023.
19 pages.
|
|
|