Effectively Manage Multi-tenant Hadoop for the Enterprise - ERP Spain.com - España y América Latina

As the Hadoop market matures and new applications and use cases for Big Data emerge, organizations are dealing with more complex environments than ever before. In days past, deployments often focused on single, batch-oriented workloads, and if you wanted to run multiple workloads at the same time, you needed to split your clusters. With Hadoop 2 and YARN, organizations are able to run multiple workloads on the same cluster. But, in multi-tenant environments, resource contention can become a daily problem and low-priority, ad-hoc jobs can sometimes monopolize hardware resource that is needed for high-priority workloads. Pepperdata is the first and only software that guarantees service levels in multi-tenant Hadoop environments. We have helped dozens of companies of all industries and all sizes to effectively manage and scale their multi-tenant environments, guaranteeing service levels and improving overall cluster performance. Join us for this webcast to hear best practices for running multi-tenant environments and how you can improve visibility, performance, and overall management of your big data environment.