eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. As president and CEO of data warehouse appliance maker ...

Last week, we saw that Big Blue had a pretty good quarter in Q4 and a good year overall in 2011. IBM attributed the success to a number of core areas, analytics being one of them. Netezza was one of ...

IBM is snapping up yet another business analytics player. After purchasing OpenPages last week, Big Blue is now laying down $1.7 billion in an all-cash deal to acquire Netezza. Netezza provides ...

Netezza recently announced its Netezza TwinFin(i) Appliance which extends data warehousing capabilities and supports the company’s i-Class data analytics platform. (Read the release about i-Class.) ...

The acquisition of Netezza was one of the more expensive IBM buys, costing Big Blue at the time US$ 1.7 billion, which beggared the question of whether IBM would get returns on its money. With the new ...

Based on Netezza's data streaming technology, the Netezza TwinFin i-Class appliance executes complex analytics in parallel within the database on extremely large data sets to reduce costs, and ...

Brad Terrell is VP and general manager of digital media at Netezza, a data warehouse and analytic appliances company. He recently discussed his company’s client momentum in the digital media space ...

Netezza (NYSE: NZ) is the global leader in data warehouse and analytic appliances, and helps simplify high-performance analytics for some of the biggest media buying agencies in the world. Brad ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. IBM has announced a new analytics appliance that enables ...

IBM on Monday said it will acquire data warehouse appliance company Netezza in a deal valued at $1.7 billion. With the move, IBM picks off one of Oracle's key competitors for its Exadata line. Oracle ...

In 2000, some companies had big data problems before the concept we know today even existed. Back in those days, these organizations used a concept called the data warehouse to deal with large amounts ...