Database users are increasingly becoming more comfortable with storing their data in database systems located in public or private clouds. For example, Amazon RDS (relational database service) is used by approximately half of all customers of Amazon’s AWS cloud.

Concurrent with acquiring Hadoop companies Hadapt and Revelytix last year, Teradata opened the Teradata Center for Hadoop in Boston. Teradata recently announced that a major new initiative of this Hadoop development center will include open-source contributions to a distributed SQL query engine called Presto.

Guest post by Dr. Daniel Abadi, March 6, 2015

Optimizing Disk IO and Memory for Big Data Vector Analysis

Daniel Abadi  Nov 11, 2014  This is a guest post by Dr. Abadi   http://blogs.teradata.com/data-points/optimizing-disk-io-and-memory-for-big-data-vector-analysis/

Teradata QueryGrid and Adaptive Optimization:

Not Your Typical DBMS-Hadoop Connector

Dr. Daniel Abadi  October 17, 2014

Thisis a guest post by Dr. Abadi also posted at http://blogs.teradata.com/data-points/teradata-querygrid-and-adaptive-optimization/ 

Guest Author: Dr. Daniel Abadi, Yale University

Although the Bulk Synchronous Parallel (BSP) model for scalable parallel processing was invented by Leslie Valiant in the 1980s (and was cited as part of the reason for Valiant’s recent Turing award), it became a popular model for scalable processing of graph data in 2010 when Grzegorz Malewicz et. al. from Google published their seminal paper on Pregel in SIGMOD 2010 (http://dl.acm.org/citation.cfm?id=1807184). 

The Teradata Agile Analytic Cloud allows business users and developers to easily allocate an elastic data mart (i.e. a database) inside the Teradata System. Using an on demand self service portlet (the Elastic Marts Builder portlet), the user can create a database, upload comma separated values (.CSV) data, and begin analysis – all within 5-10 minutes.