Operational Database Management Systems
NoSQL Databases. Ramon Lawrence, University of British Columbia Okanagan This course surveys a variety of NoSQL databases and systems including Map-Reduce, Apache Pig, Apache Hadoop, MongoDB, DynamoDB, Redis, Neo4J and others. Course materials include...
Framing a European Partnership for a Big Data Value Ecosystem VERSION 1.4 NESSI- Vision for a European Big Data Value Partnership – February 2014 Executive Summary Big Data is one of the key economic...
Big Data A New World of Opportunities NESSI White Paper, December 2012 Executive Summary The amount of available data has exploded in the past years because of new social behaviors, societal transformations as well...
Can we store Java objects without using SQL? Yes, we can! by Jose Ruperez, Java Certified Programmer, Caché Certified Expert Abstract We programmers have a problem. Every time a program is written that requires...
White House-MIT Big Data Privacy Workshop[1] A Personal View By Dr. Michael L. Brodie Computer Science and Artificial Intelligence Laboratory, MIT March 24, 2014 Abstract: Actual and potential societal benefits of information in our...
Data Curation at Scale: The Data Tamer System Authors: Michael Stonebraker, Daniel Bruckner,George Beskales, Mitch Cherniack ,Ihab F. Ilyas , Stan Zdonik ,Alexander Pagan ,Shan Xu. Abstract Data curation is the act of discovering...
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...
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...