In this video, Christine Twiford, T-Mobile's Manager of Network Technology Solutions, explains how and why T-Mobile replaced a 40 terabyte (TB) Oracle data warehouse with an IBM Netezza appliance. She discusses the various business units served by the IBM Netezza appliance today and the evolution
Emilie Werr, VP & Head of Enterprise Architecture for NYSE Euronext discusses the benefits seen from their new IBM Netezza data warehouse appliance. Some of these key benefits include: the ability to support their large data footprint (up to 4TB a day), giving users the ability to connect
Roland Cozzolino (CTO) and Tom Craig (VP Data & Information Strategy) from MediaMath sit down to discuss their analytical objective as a leading Digital Media firm and the role IBM Netezza plays in their business strategy.
After being fed up with the performance of their previous system, iBasis chose to move to an IBM Netezza Data Warehouse Appliance. In this video, Mark Saponar, VP of Information Systems at iBasis, discusses how IBM Netezza has shown them a completely different approach to information.
Catalina Marketing's VP of Business Intelligence Solutions explains how the company is staying ahead of the curve by implementing a high-performance predictive analytics solution based on IBM Netezza data warehouse appliances.
With IBM Netezza, TEOCO Corporation is able to simplify big data, saving time and resources. Senior Director of Product Management Jonjie Sena explains the importance of analytics and how IBM Netezza has streamlined the process of solving business problems.
Krishnan Parasuraman, CTO big data for digital media, answers questions about big data solutions for the Digital Media industry and discusses the sophisticated distributed processes that take place at light speed to deliver targeted digital advertisements.
John McPherson, Distinguished Engineer from IBM Research, introduces the Hadoop platform. This is part 1 of a 3 part series in which John discusses Hadoop, the Big data Ecosystem, use cases and aspects of Big Data that IBM research are focusing on.
Text analytics is a key feature of IBM's big data platform. In part one of this two-part series, Vijay Bommireddipalli, a Big Data Solution Architect, gives us an introduction to text analytics and IBM's capabilities in this area.