TY - GEN
T1 - Rheemstudio
T2 - 34th IEEE International Conference on Data Engineering, ICDE 2018
AU - Lucas, Ji
AU - Idris, Yasser
AU - Contreras-Rojas, Bertty
AU - Quiane-Ruiz, Jorge Arnulfo
AU - Chawla, Sanjay
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/24
Y1 - 2018/10/24
N2 - Many of today's applications need several data processing platforms for complex analytics. Thus, recent systems have taken steps towards supporting cross-platform data analytics. Yet, current cross-platform systems lack of ease-of-use, which is crucial for their adoption. This demo presents RheemStudio, a visual IDE on top of Rheem. It allows users to easily specify their cross-platform data analytic tasks. In this demo, we will demonstrate five main features of RheemStudio: drag-And-drop, declarative, interactive, and customized specification of data analytic tasks as well as easy monitoring of tasks. With this in mind, we will consider two real use cases, one from the machine learning world and the second one based on data discovery. During all the demo, the audience will be able to take part and create their own data analytic tasks too.
AB - Many of today's applications need several data processing platforms for complex analytics. Thus, recent systems have taken steps towards supporting cross-platform data analytics. Yet, current cross-platform systems lack of ease-of-use, which is crucial for their adoption. This demo presents RheemStudio, a visual IDE on top of Rheem. It allows users to easily specify their cross-platform data analytic tasks. In this demo, we will demonstrate five main features of RheemStudio: drag-And-drop, declarative, interactive, and customized specification of data analytic tasks as well as easy monitoring of tasks. With this in mind, we will consider two real use cases, one from the machine learning world and the second one based on data discovery. During all the demo, the audience will be able to take part and create their own data analytic tasks too.
KW - Cross platform data processing
KW - Data Analytics
KW - Query Processing
UR - http://www.scopus.com/inward/record.url?scp=85057098362&partnerID=8YFLogxK
U2 - 10.1109/ICDE.2018.00179
DO - 10.1109/ICDE.2018.00179
M3 - Conference contribution
AN - SCOPUS:85057098362
T3 - Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018
SP - 1553
EP - 1556
BT - Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 16 April 2018 through 19 April 2018
ER -