TY - GEN
T1 - A System for Big Data Analytics over Diverse Data Processing Platforms
AU - Quiane, Jorge
AU - Agrawal, Divy
AU - Chawla, Sanjay
AU - Elmagarmid, Ahmed Khalifa
AU - Kaoudi, Zoi
AU - Ouzzani, Mourad
AU - Papotti, Paolo
AU - Tang, Nan
AU - Zaki, Mohammed J.
PY - 2016/3
Y1 - 2016/3
N2 - Data analytics is at the core of any organization that wants to obtain measurable value from its growing data assets. Data analytic tasks may range from simple to extremely complex pipelines, such as data extraction, transformation and loading, online analytical processing, graph processing, and machine learning (ML). Following the dictum “one size does not fit all”, academia and industry have embarked on a race of developing data processing platforms for supporting all of these different tasks, e.g., DBMSs and MapReduce-like systems. Semantic completeness, high performance and scalability are key objectives of such platforms. While there have been major achievements in these objectives, users are still faced with many road-blocks.
AB - Data analytics is at the core of any organization that wants to obtain measurable value from its growing data assets. Data analytic tasks may range from simple to extremely complex pipelines, such as data extraction, transformation and loading, online analytical processing, graph processing, and machine learning (ML). Following the dictum “one size does not fit all”, academia and industry have embarked on a race of developing data processing platforms for supporting all of these different tasks, e.g., DBMSs and MapReduce-like systems. Semantic completeness, high performance and scalability are key objectives of such platforms. While there have been major achievements in these objectives, users are still faced with many road-blocks.
U2 - 10.5339/qfarc.2016.ICTOP2798
DO - 10.5339/qfarc.2016.ICTOP2798
M3 - Conference contribution
VL - 2016
BT - Qatar Foundation Annual Research Conference Proceedings
ER -