Operational Database Management Systems
Big Data Integration-Tutorial Authors: Xin Luna Dong (Google Inc.) Divesh Srivastava (AT&T Labs-Research) Tutorial Outline ♦ Motivation – Why do we need big data integration? – How has“small”data integration been done? – Challenges in...
Daniel Abadi Associate Professor of Computer Science Yale University Prof. Abadi’s research interests are in scalable systems, with a particular focus on the architecture of scalable database systems. Before joining the Yale computer science...
UML Database Modeling Workbook Author: Michale Blaha Abstract With our appetites for data on the rise, it has become more important than ever to use UML (Unified Modeling Language) to capture and precisely represent...
Data-Intensive Text Processing with MapReduce Jimmy Lin University of Maryland Chris Dyer University of Maryland Synthesis Lectures on Human Language Technologies 2010, 177 pages, (doi:10.2200/S00274ED1V01Y201006HLT007) Morgan & Claypool Publishers. Abstract Our world is being...
Foundations of Data Quality Management Wenfei Fan University of Edinburgh Floris Geerts University of Antwerp Synthesis Lectures on Data Management July 2012, 217 pages, (doi:10.2200/S00439ED1V01Y201207DTM030) Morgan & Claypool Publishers Abstract Data quality is one...
Data Management in the Cloud: Challenges and Opportunities Divyakant Agrawal,University of California, Santa Barbara Sudipto Das, Microsoft Research Amr El Abbadi, University of California, Santa Barbara Synthesis Lectures on Data Management, December 2012, 138...
Workload-Driven Design and Evaluation of Large-Scale Data-Centric Systems by Yanpei Chen A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Engineering — Electrical Engineering and Computer...
Statistical Workload Injector for MapReduce (SWIM) Yanpei Chen, Sara Alspaugh, Archana Ganapathi, Rean Griffith, Randy Katz MapReduce systems face enormous challenges due to increasing growth, diversity, and consolidation of the data and computation involved....
Google BigQuery Querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. Google BigQuery solves this problem by enabling super-fast, SQL-like queries against append-only tables, using the processing power...
Performance Benefits of DataMPI: A Case Study with BigDataBench Authors: Fan Liang1,2 Chen Feng1,2 Xiaoyi Lu3 Zhiwei Xu1 1Institute of Computing Technology, Chinese Academy of Sciences 2University of Chinese Academy of Sciences, China 3Department...