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Presented by Michael Hausenblas, Chief Data Engineer, , MapR Technologies
This session will present an overview of common big data use cases in the form of a set of questions that can be used to determine what kind of problem you really have. From the answers to these questions, you can quickly find out about what technologies are likely to be most productive, useful and easy to apply.This analysis will also allow you to discern cases where Solr is not a good fit, but where augmentation with other big data systems like HBase leads to feasible architectures. Conversely, you will see cases where Solr can be the hero by filling the gaps that big data systems alone are destined to fail.