Big Data Issues: Performance, Scalability, Availability


  • Laura Matei Bucharest University of Economic Studies


Big Data, NoSQL, database, Hadoop, YCSB, performance test


Nowadays, Big Data is probably one of the most discussed topics not only in the area of data analysis, but, I believe, in the whole realm of information technology. The simple typing of the words „big data” on an online search engine like Google will retrieve approximately 1,660,000,000 results. Having such a buzz gathered around this term, I could not help but wonder what this phenomenon means.

The ever greater portion that the combination of Internet, Cloud Computing and mobile devices has been occupying in our lives, lead to an ever increasing amount of data that must be captured, communicated, aggregated, stored, and analyzed. These sets of data that we are generating are called Big Data.

Author Biography

Laura Matei, Bucharest University of Economic Studies

IT&C Security Master


James Manyika, Michael Chui, Brad Brown, Jacques Bughin, Richard Dobbs, Charles Roxburgh,Angela Hung Byers, Big data: The next frontier for innovation, competition, and productivity, 2012

Eric Redmond and Jim R. Wilson, Seven Databases in Seven Weeks, The Pragmatic Bookshelf, 2012

Brian F. Cooper, Adam Silberstein, Erwin Tam, Raghu Ramakrishnan, Russell Sears, Benchmarking Cloud Serving Systems with YCSB, ACM Symposium on Cloud Computing, 2012

Edd Dumbill, Making Sense of Big Data, Big data, Vol1, No. 1, 2012.




How to Cite

Matei, L. (2014). Big Data Issues: Performance, Scalability, Availability. Journal of Mobile, Embedded and Distributed Systems, 6(1), 1-10. Retrieved from