文章基本信息

标题：Experiences with using Data Cleaning Technology for Bing Services
本地全文：下载
作者：Arvind Arasu ; Surajit Chaudhuri ; Zhimin Chen 等
期刊名称：Bulletin of the Technical Committee on Data Engineering
出版年度：2012
卷号：35
期号：02
出版社：IEEE Computer Society
摘要：Over the past few years, our Data Management, Exploration and Mining (DMX) group at Microsoft Research has worked closely with the Bing team to address challenging data cleaning and approximate matching problems. In this article we describe some of the key Big Data challenges in the context of these Bing services primarily focusing on two key services: Bing Maps and Bing Shopping. We describe ideas that proved crucial in helping meet the quality, performance and scalability goals demanded by these services. We also briefly reflect on the lessons learned and comment on opportunities for future work in data cleaning technology for Big Data.