TY - GEN
T1 - Road to freedom in big data analytics
AU - Agrawal, Divy
AU - Chawla, Sanjay
AU - Elmagarmid, Ahmed
AU - Kaoudi, Zoi
AU - Ouzzani, Mourad
AU - Papotti, Paolo
AU - Quiané-Ruiz, Jorge Arnulfo
AU - Tang, Nan
AU - Zaki, Mohammed J.
N1 - Publisher Copyright:
© 2016, Copyright is with the authors.
PY - 2016
Y1 - 2016
N2 - The world is fast moving towards a data-driven society where data is the most valuable asset. Organizations need to perform very diverse analytic tasks using various data processing platforms. In doing so, they face many challenges; chiefly, platform dependence, poor interoperability, and poor performance when using multiple platforms. We present Rheem, our vision for big data analytics over diverse data processing platforms. Rheem provides a threelayer data processing and storage abstraction to achieve both platform independence and interoperability across multiple platforms. In this paper, we discuss our vision as well as present multiple research challenges that we need to address to achieve it. As a case in point, we present a data cleaning application built using some of the ideas of Rheem. We show how it achieves platform independence and the performance benefits of following such an approach.
AB - The world is fast moving towards a data-driven society where data is the most valuable asset. Organizations need to perform very diverse analytic tasks using various data processing platforms. In doing so, they face many challenges; chiefly, platform dependence, poor interoperability, and poor performance when using multiple platforms. We present Rheem, our vision for big data analytics over diverse data processing platforms. Rheem provides a threelayer data processing and storage abstraction to achieve both platform independence and interoperability across multiple platforms. In this paper, we discuss our vision as well as present multiple research challenges that we need to address to achieve it. As a case in point, we present a data cleaning application built using some of the ideas of Rheem. We show how it achieves platform independence and the performance benefits of following such an approach.
UR - http://www.scopus.com/inward/record.url?scp=85013257681&partnerID=8YFLogxK
U2 - 10.5441/002/edbt.2016.45
DO - 10.5441/002/edbt.2016.45
M3 - Conference contribution
AN - SCOPUS:85013257681
T3 - Advances in Database Technology - EDBT
SP - 479
EP - 484
BT - Advances in Database Technology - EDBT 2016
A2 - Manolescu, Ioana
A2 - Pitoura, Evaggelia
A2 - Marian, Amelie
A2 - Maabout, Sofian
A2 - Tanca, Letizia
A2 - Koutrika, Georgia
A2 - Stefanidis, Kostas
PB - OpenProceedings.org
T2 - 19th International Conference on Extending Database Technology, EDBT 2016
Y2 - 15 March 2016 through 18 March 2016
ER -