BrightIdeas - Infobright Newsletter
A quarterly newsletter highlighting new Infobright product releases, events and industry information. Sign up at the bottom of this page to keep up with the latest news
June 2011 Newsletter
Jun 14, 2011
In this issue: Announcing Infobright Enterprise Edition 4.0 with DomainExpert: Enhanced for machine-generated data, multi-machine loading with DLP and Hadoop connector, Rough Query for data mining
June 2010 Newsletter
Jul 28, 2010
In this issue: Announcing Infobright Enterprise Edition 3.4 – 500% Query Performance improvement, 1600% Delete Performance improvement and Query While Load/DML
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Feb 2010 Newsletter
Feb 02, 2010
In this issue: Announcing Infobright Enterprise 3.3.1 – High Availability, Faster Queries, Enhanced SQL and highlights new Bloor Research white papers
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July 09 Newsletter
Jul 02, 2009
In this issue: Announcing Infobright 3.2 Release Candidate, introducing Infobright CTO, opening of sales office in the UK
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March 09 Newsletter
Mar 04, 2009
In this issue: We announce the availability of Infobright 3.1 and ICE for Windows. Read a case study based on the experience of one of our ICE users, and get access to educational industry white papers. Read the Newsletter.
Sept 08 Newsletter
Sep 29, 2008
In this issue: Infobright Launches Open Source Data Warehouse; New webinars
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On Sept 15 we announced the availability of our new open source data warehouse software, Infobright Community Edition (ICE). This enterprise-class, self-managing solution is…
In this issue: Release 3.0 details, TradeDoubler, White paper downloads. Read the Newsletter. Welcome to the first issue of BrightIdeas, a quarterly newsletter offering insights on analytic data warehousing and providing an update on Infobright.July 08 Newsletter
Jul 28, 2008
Next Steps
Customer Stories
JDSU
The challenge that JDSU put before Infobright was to capture and enable near real-time analysis of huge volumes of data traversing some of the world's largest carrier networks, at lower…
A New Approach
The Analytic Data Warehouse
Traditional data warehouse products put a tremendous burden on IT in order to create and maintain an environment that will allow users to query against large volumes of data.
