Rheemstudio: Cross-platform data analytics made easy

Ji Lucas, Yasser Idris, Bertty Contreras-Rojas, Jorge Arnulfo Quiane-Ruiz, Sanjay Chawla

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1553-1556
Number of pages4
ISBN (Electronic)9781538655207
DOIs
StatePublished - Oct 24 2018
Externally publishedYes
Event34th IEEE International Conference on Data Engineering, ICDE 2018 - Paris, France
Duration: Apr 16 2018Apr 19 2018

Publication series

NameProceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018

Conference

Conference34th IEEE International Conference on Data Engineering, ICDE 2018
Country/TerritoryFrance
CityParis
Period04/16/1804/19/18

Keywords

  • Cross platform data processing
  • Data Analytics
  • Query Processing

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