MapR forms the nexus, both on-site and cloud (Google, AWS)
From Big Data over information to signal to insights — need the right tool set and skills for this!http://techcrunch.com/2012/11/25/the-big-data-fallacy-data-%E2%89%A0-information-%E2%89%A0-insights/
MapR has been selected by two of the companies most experienced with MapReduce technology which is a testament to the technology advanges of MapR’s distribution. Amazon through its Elastic MapReduce service (EMR) hosted over 2 million clusters in the past year. Amazon selected MapR to complement EMR as the only commercial Hadoop distribution being offered, sold and supported as a service by Amazon to its customers. MapR was also selected by Google – the pioneer of MapReduce and the company whose white paper on MapReduce inspired the creation of Hadoop – has also selected MapR to make our distribution available on Google Compute Engine. Hadoop in the cloud makes a great deal of sense: the elastic resource allocation that cloud computing is premised on works well for cluster-based data processing infrastructure used on varying analyses and data sets of indeterminate size. MapR has unique features such as mirroring between sites and multi-tenancy support that further enhance cloud deployments
Transcript of "Steve Jenkins - Business Opportunities for Big Data in the Enterprise "
‘Business Opportunities for Big Data in the Enterprise ‘