Hadoop: Move Compute to the Data

Hadoop: Move Compute to the Data

  IJCTT-book-cover
 		 International Journal of Computer Trends and Technology (IJCTT)          
 
© 2017 by IJCTT Journal
Volume-45 Number-1
Year of Publication : 2017
Authors : Anand C. Bohara
DOI :  10.14445/22312803/IJCTT-V45P106

MLA

Anand C. Bohara "Hadoop: Move Compute to the Data". International Journal of Computer Trends and Technology (IJCTT) V45(1):33-36, March 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

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.

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

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