Deploying mission critical applications on Hadoop, on-premises and in the cloud

Global enterprises have quietly funneled enormous amounts of data into Hadoop over the last several years. Hadoop has transformed the way organizations deal with big data. By making vast quantities of rich unstructured and semi-structured data quickly and cheaply accessible, Hadoop has opened up a host of analytic capabilities that were never possible before, to drive business value. The challenges have revolved around operationalizing Hadoop to enterprise standards, and leveraging cloud-based Hadoop as a service (HaaS) options offering a vast array of analytics applications and processing capacity that would be impossible to deploy and maintain in-house. This webcast will explain how solutions from IBM and WANdisco address these challenges by supporting: - Continuous availability with guaranteed data consistency across Hadoop clusters any distance apart, both on-premises and in the cloud. - Migration to cloud without downtime and hybrid cloud for burst-out processing and offsite disaster recovery. - Flexibility to eliminate Hadoop distribution vendor lock-in and support migration to cloud without downtime or disruption. - IBM's BigInsights in the cloud, and BigSQL, which allows you to run standard ANSI compliant SQL against your Hadoop data.