Optimizing Big Data Clusters in Production - Performance, Capability, and Cost - Seguridad Mania.com - España y América Latina

Come join us as we learn how to tackle and manage big data application performance. First, Taneja Group Sr. Analyst Mike Matchett will present his take on how enterprise IT is now being challenged to support big data applications in real production environments. He'll discuss why too many enterprises haven't been as successful as they should in taking advantage of their big data opportunities - in many cases losing out to competitors. He'll explore what agile IT/devops really needs to do to not only effectively host, but deliver top-notch, consistent big data performance with the smallest infrastructure cost. Then Chad Carson, Co-founder at Pepperdata will present their compelling approach to solving big data cluster performance challenges. He'll demonstrate how Pepperdata's dynamic run-time optimizations can guarantee consistent performance SLA's in a shared multi-tenant Hadoop cluster. Because Pepperdata delivers detailed visibility into Hadoop cluster activity , the software becomes invaluable for cluster troubleshooting, reporting/chargeback, capacity planning, and other management and optimization requirements. With Pepperdata, IT can now effectively, efficiently, and reliably support all the business-empowering big data applications of an organization. This webcast will be 45 minutes with time reserved for Q+A.