Buyers and practitioners in the data market have faced a choice: work with Big Data and tolerate the latency of batch mode processing, or work interactively with relatively small data sets.
There are technologies available for both use cases. Hadoop has excelled at storing huge volumes of data cheaply and processing it with the batch-oriented MapReduce algorithm. Relational databases work interactively, but on smaller data volumes with more expensive storage economics.
Register for this conversational webinar with MapR CMO Jack Norris and Manny Puentes, CTO of Altitude Digital, moderated by Andrew Brust, expert analyst in Big Data and analytics.