How can you make your data warehousing investments more efficient and cost-effective, so that you can focus on your core business and new revenue streams? By utilizing private and public cloud architectures in combination (a.k.a. a hybrid cloud) and in the right way, you can deliver self-service, scale, and efficiency with low risk.
Michael Kohs, Eva Andreasson, and Mark Brine explain how Cloudera’s Finance Department used a hybrid model to speed up report delivery and reduce cost of end-of-quarter reporting. They also share guidelines for deploying modern data warehousing in a hybrid cloud environment, outlining when you should choose a private cloud service over a public one, the available options, and some dos and dont’s.
Eva Nahari is director of product management at Cloudera, where she helps drive the future of distributed data processing and machine learning applications through Cloudera’s distribution of Hadoop and expedites the next generation of integrated search engines. Eva has been working with Java virtual machine technologies, SOA, cloud, and other enterprise middleware solutions for the past 15+ years. Previously, she was the developer of JRockit (the world’s fastest JVM) and productized Zing (the world’s only pauseless JVM) at Azul Systems. She also pioneered deterministic garbage collection and was awarded two patents on garbage collection heuristics and algorithms. In addition, she’s managed many technical partnerships, among them Sun, Intel, Dell, and Red Hat, as well as multicomponent software integration projects, including JRockit, Coherence, WebLogic, Zing, RHEL, and Cloudera Search. Eva holds an MSc in artificial intelligence and autonomous systems from the Royal Institute of Technology in Stockholm, Sweden.
Mark Brine is the director of finance of Cloudera.
Michael Kohs is a product manager at Cloudera.
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