EXPLORATORY RESEARCH ON DEVELOPING HADOOP-BASED DATA ANALYTICS TOOLS
Main Article Content
Abstract
This paper explores how Hadoop-based data analysis tools are developed to illustrate how they address different problems related to how they process large amounts of data and thus increase user experience. The findings from the research shows that with the growing amount of data generated every day, recent software developments provide the resources necessary to meet the demands of the "Big Data." The data processing is one of the researchers' greatest subjects [1]. Information is the foundation of both small and large companies. Everyone needs to see valuable knowledge develop faster and larger for their company. Any business needs to know and hate its clients. This desirable knowledge involves the study of massive amounts of data stored in a variety of locations and in a variety of formats. Hadoop-based data analytics applications are rapidly gaining popularity as a medium for efficiently processing massive amounts of data. Using the Hadoop-based Data Analytics Tools including the Hadoop [1]. Apache Tools, different components are accessible, like data clusters, map reduction algorithms and distributed workflow, which solves many complicated data problems on the position and returns the related details to the device.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0 DEED).
You are free to:
- Share — copy and redistribute the material in any medium or format
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial — You may not use the material for commercial purposes .
- NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
Rights of Authors
Authors retain the following rights:
1. Copyright and other proprietary rights relating to the article, such as patent rights,
2. the right to use the substance of the article in future works, including lectures and books,
3. the right to reproduce the article for own purposes, provided the copies are not offered for sale,
4. the right to self-archive the article.