RheemStudio: Cross-Platform Data Analytics Made Easy

J. Lucas, Yasser Idris, Bertty Contreras-Rojas, Jorge-Arnulfo Quiané-Ruiz, S. Chawla
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引用次数: 12

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.
RheemStudio:跨平台数据分析变得简单
当今的许多应用程序需要多个数据处理平台来进行复杂的分析。因此,最近的系统已经采取措施支持跨平台数据分析。然而,当前的跨平台系统缺乏易用性,这对它们的采用至关重要。这个演示展示了RheemStudio,一个Rheem之上的可视化IDE。它允许用户轻松指定他们的跨平台数据分析任务。在这个演示中,我们将演示RheemStudio的五个主要特性:数据分析任务的拖放、声明性、交互式和自定义规范,以及对任务的轻松监控。考虑到这一点,我们将考虑两个真实的用例,一个来自机器学习世界,另一个基于数据发现。在整个演示过程中,观众也将能够参与并创建自己的数据分析任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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