-
Marketplace
-
Channel Resources
Articles from this Site
Polydeck Screen Corporation Selects Bitam BI
Jaspersoft Delivers BI Development Platform for NetBeans and MySQL
A Scoring and Choice Model for Multistage Cross-Selling in the Insurance Industry, Part 1
Emerging Trends in the World of Business Intelligence, Part 2
Datawatch Launches Monarch BI Server
White Papers
HP ERP Business Intelligence
Business Intelligence for Tax Planning: Value, Strategy, and Vision
Single Sign-On for Webintelligence
A Structured Method for Specifying Business Intelligence Reporting Systems
Business Intelligence in a Real-Time World
Web Seminars
Looking for speed and accuracy in your financial planning and budgeting?
Hyperion Visual Explorer: Improve Visibility into Performance Management
Reducing the Cost of Deploying and Managing Data
Combining Microsoft Business Intelligence with the Teradata Warehouse
Espresso Shot Web Seminar: Uncorking the Data Bottleneck with Operational BI
Books
CN Moves Forward with Netezza
July 7, 2008 - CN is migrating and consolidating numerous data marts from its legacy environment to Netezza Corporations Netezza Performance Server (NPS) data warehouse appliance to provide increased performance, user accessibility and scalability for strategic operational business intelligence applications.
CN, a leader in the North American rail industry, is leveraging Netezzas appliance technology to run detailed analysis of traffic on its network of more than 20,000 route miles across Canada and the U.S.
The first application CN launched on Netezza runs detailed analyses on its railroad cars, capturing information on all events that take place with the equipment and identifying where traffic is located.
Designed specifically for high-performance, terascale analytics, the NPS system architecturally integrates a relational database, server and storage into a single compact and power-efficient unit. The systems advantage comes from its patented Intelligent Streaming design. Netezza placed processing power next to the data, so analysis occurs at the source at streaming speeds.
This piece is brought to you by the DM Review editorial staff.
For more information on related topics, visit the following channels:


