DocumentCode
1791641
Title
Increasing the accessibility to Big Data systems via a common services API
Author
Malcolm, Rohan ; Morrison, Cherrelle ; Grandison, Tyrone ; Thorpe, Sean ; Christie, Kimron ; Wallace, Akim ; Green, Dale ; Jarrett, Julian ; Campbell, Arnett
Author_Institution
Comput. Sci. Res. Group, Univ. of Technol., St. Andrew, Jamaica
fYear
2014
fDate
27-30 Oct. 2014
Firstpage
883
Lastpage
892
Abstract
Despite the plethora of polls, surveys, and reports stating that most companies are embracing Big Data, there is slow adoption of Big Data technologies, like Hadoop, in enterprises. One of the primary reasons for this is that companies have significant investments in legacy languages and systems and the process of migrating to newer (Big Data) technologies would represent a substantial commitment of time and money, while threatening the ir short-term service quality and revenue goals. In this paper, we propose a possible solution that enables existing infrastructure to access Big Data systems via a services application programming interface (API); minimizing the migration drag and (possibly negative) business repercussions.
Keywords
Big Data; application program interfaces; business data processing; Big Data systems accessibility; Big Data technologies; Hadoop; common services API; companies; enterprises; legacy languages; legacy systems; services application programming interface; short-term service quality; Arrays; Big data; Business; Semantics; Standards organizations; XML; API; Big Data; Big Data Systems; Hadoop;
fLanguage
English
Publisher
ieee
Conference_Titel
Big Data (Big Data), 2014 IEEE International Conference on
Conference_Location
Washington, DC
Type
conf
DOI
10.1109/BigData.2014.7004319
Filename
7004319
Link To Document