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 ...
Data warehousing company Netezza posted a banner second quarter courtesy of its TwinFin product line. The company reported second quarter earnings of $3.2 million, or 5 cents a share, on revenue of ...
Brad Terrell is VP and General Manager of Digital Media at Netezza, a data warehouse and analytic appliances company. AdExchanger.com: What trends is Netezza seeing from its digital media clients in ...
The billion dollar buys continue in the tech industry as IBM says it’s snatching up data analytics firm Netezza, for $1.7 billion. One of Netezza’s customers, for example, is matchmaking site eHarmony ...
I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...
Expanding its business analytics offerings yet again, IBM is acquiring data warehouse appliance vendor Netezza for approximately US$1.7 billion in cash. The two companies have entered into a ...
IBM said Monday that it would buy data analytics company Netezzafor $1.7 billion to expand its business of helping clients analyze market information. The move comes as IBM is shifting its focus from ...
IBM is moving to capitalize on its $1.7 billion Netezza acquisition by recruiting IBM business intelligence and data management channel partners to resell Netezza's data warehouse appliances. IBM held ...
EnterpriseDB, a supplier of PostgreSQL-based solutions, and Netezza Corporation, a provider of data warehouse and analytic appliances, announced a new partnership intended to ease database migration ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
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