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
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;
Conference_Titel :
Big Data (Big Data), 2014 IEEE International Conference on
Conference_Location :
Washington, DC
DOI :
10.1109/BigData.2014.7004319