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The Art of Dealing With Disaster

A problem with IT disasters, and planning for them, is that disaster strikes in many different ways. They differ both in type and scale. Just consider the following distinct scenarios. A geographically widespread disaster: such as hurricane Katrina (New Orleans) or Hurricane Sandy (US East Coast, particularly New York) or the power outage of 2003 …Read More

Fit For Purpose: Preventing a Big Data Letdown

Gartner recently placed Big Data in its “trough of disillusionment,” reflective of many leaders’ struggle to prove the value of Hadoop within their organization. While the promise of enhanced data integration and enrichment is obvious, measurable results have remained elusive. This episode of The Briefing Room will outline how to successfully tie Big Data to existing business applications, preventing your next Hadoop project from being another “Big Data letdown.”

Register today to learn from veteran Analyst Dr. Robin Bloor as he discusses the importance of converging enterprise data integration with intelligence and scalability. He’ll be briefed by George Corugedo of RedPoint Global, who will provide concrete examples of how the convergence of scalable cloud platforms, ever-expanding data sources and intelligent execution can turn the Big Data hype into demonstrable business value.


Full Speed Ahead: Hadoop and Spark for Big Data Applications

The revolution has begun. One project at a time, a new breed of mission-critical systems are rolling out, and fundamentally changing the way business is done. These applications require new levels of performance, including high availability, disaster recovery, multi-tenancy and resource management. What’s at the foundation of these game-changing solutions? Almost without exception, you’ll find open-source technologies like Hadoop and Spark, which are combined with all manner of traditional systems as part of this wholesale transformation.

Register for this episode of The Briefing Room to hear veteran Analyst John Myers as he explains the increasing array of Apache Hadoop components and functionality available today. He’ll be briefed by Sameer Nori of MapR, who will discuss how the MapR Distribution for Hadoop delivers open source innovations with enterprise capabilities to create a high performance platform for big data applications. He’ll show how MapR customers are leveraging this combination to run a variety of use cases on the same platform in order to increase revenue, reduce risk and lower cost.