Full Speed Ahead: Hadoop and Spark for Big Data Applications

Mission-critical systems are pretty needy. They require capabilities such as high availability, disaster recovery, multi-tenancy and resource management to power data applications without fail and meet business service level agreements. Many organizations have found that Hadoop, especially when combined with tools like YARN and Spark, provide the ideal backbone for a big data application platform.

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.