The future of big data?
Hybrid data architectures have been hailed as “the future of big data.” But what exactly is a hybrid data architecture and how would your organization best make use of one? What makes it better than current systems? What are some of the challenges involved in deploying a
Cost/Benefit Case for IBM PureData System for Analytics: Comparing Costs and Time to Value with Teradata Data Warehouse Appliance
Three-year costs of ownership for use of PureData System for Analytics N2001 appliances average 36 percent less than for Teradata equivalents. Comparisons are for
Nielsen used the IBM PureData System for Analytics system to run complex analytical workloads on-demand and on massive amounts of data. With up to 10x faster concurrency, IBM PureData System for Analytics provided Nielsen Company the simplicity and performance needed to deliver speed of-thought
From a technology perspective, the average retail IT environment is typically struggling to maintain and provide value to its business users. PureData System for Analytics is the ticket to push the envelope on high value at a fraction of the cost.
Virtual Enzee: IBM’s Big Data Platform
Presented by Phil Francisco, VP Product Management and Marketing
Friday, February 22
What is Virtual Enzee?
For those of you who attended the IBM Information on Demand conference in October, you probably saw the very high interest in the
It is my pleasure to introduce The IBM® PureData™-Enzee Customer Community! This is an evolution and new version of our enzeecommunity.com online forum. This new community brings together IBM PureData and IBM Netezza® professionals, such as clients, IBM Business Partners, and other IBMers for the
Today, the Nevada Governor’s Office of Economic Development (GOED) and Desert Research Institute (DRI) announced they are partnering with IBM to use the PureSystems family of expert integrated systems for big data analytics and advanced research applications in the state’s higher education system.
In Part I of this series, we looked at the key considerations for an analytic enterprise to stay competitive in today’s world, and in Part II we discussed how those translated into imperatives for a supporting big data platform. In Part III we covered how IBM applied those considerations and
Big data is the core of your new enterprise application architecture. In the broader evolutionary picture, analytics and transactions will share a common big data infrastructure, encompassing storage, processing, memory, networking and other resources. More often than not, these workloads will run