Big data is going to change the way you do things in the future, how you gain insight, and make decisions (the change isn’t going to be a replacement, rather a synergy and extension). This book will help you get up to speed quickly on this technology and to show you the unique things IBM is doing
What is “event processing”? What are the similarities and differences between complex event processing and stream computing? Why would you want to use these techniques? Roger Rea, IBM InfoSphere Streams product manager, answers these questions and others.
With so many conversations about big data, it is inevitable that there will be some mis-information and misunderstandings, some of which take on mythical proportions. James Kobielus, IBM big data evangelist, sets the record straight.
Big data is a set of technologies that need to be integrated with each other and with enterprise capabilities, meaning business processes, applications, relational databases and more. David Corrigan, director of product marketing for InfoSphere, explains IBM’s big data platform.
This paper, sponsored by IBM, looks at new developments in business analytics and discusses the benefits analyzing big data bring to the business. It also examines different types of big data workloads and offers suggestions on how to optimize systems to handle different workloads and integrate
With its 300 nationwide department stores, Dillard's created a huge volume of logistical and customer data. Needing a business intelligence solution to organize and process this massive data and enable better business decisions, Dillard's turned to IBM's Smart 7600 System. This analytics
IBM InfoSphere Streams helps define and run powerful analytics on structured and unstructured data in motion. In the healthcare domain, InfoSphere Streams is currently being used to continually analyze up to 16 concurrent streams of physiological data (Blood Pressure, EKG, Blood Oxygen Saturation
Fiserv, a leader in the financial services industry, is using an IBM InfoSphere Warehouse solution built on IBM DB2 as part of a solution to turn billions of transactions into actionable insights that help banks better target offers and maximize their marketing dollars. The use of cloud
Vestas, a leader in modern energy, chose IBM InfoSphere BigInsights to pinpoint the optimal location for wind turbines to maximize power generation and reduce energy costs. Solution reduces response time for wind forecasting information by approximately 97 percent—from weeks to hours—to help cut
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.