International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 45 | Number 1 | Year 2017 | Article Id. IJCTT-V45P106 | DOI : https://doi.org/10.14445/22312803/IJCTT-V45P106

Hadoop: Move Compute to the Data

Anand C. Bohara

Citation :

Anand C. Bohara, "Hadoop: Move Compute to the Data," International Journal of Computer Trends and Technology (IJCTT), vol. 45, no. 1, pp. 33-36, 2017. Crossref, https://doi.org/10.14445/22312803/IJCTT-V45P106

Abstract

For many years, users who want to analyse and store data would store the data in a database and process it via SQL queries. The Web has returned most of the expectation of this generation. On the internet, the data is large and unstructured, and the databases can neither scale it to store and process it nor capture the data into a schema.

Keywords

Hadoop, YARN, Hadoop Ecosystem, MapReduce, HDFS, Hadoop Architecture.

References

1. Hadoop MapReduce Cookbook by SrinathPerera and Thilina Gunarathne ISBN 978-1-84951-728-7
2. Hadoop Operations by Eric SammerISBN: 978-1-449-32705-7.
3. Hadoop Real-World Solutions Cookbook by Jonathan R. Owens Jon Lentz Brian Femiano. ISBN 978-1-84951-912-0