Hi, I am doing a presentation at Big Data Boston about how people are bridging the gap between OLTP and ingest side databases and their analytic storage and queries. One class of systems I am talking about are things like HBase and DSE that let you run map reduce against your OLTP dataset.
I remember reading at some point that DSE allows you to provision dedicated hardware for map reduce, but the docs didn't seem to fully explain how that works.I looked at http://www.datastax.com/documentation/datastax_enterprise/4.0/datastax_enterprise/ana/anaStrt.html My question is what kind of provisioning can I do? Can I provision dedicated hardware for just the filesystem or can I also provision replicas that are dedicated to the file system and also serving reads for map reduce jobs. What kind of support is there for keeping OLTP reads from hitting the Hadoop storage nodes and how does this relate to doing quorum reads and writes? Thanks, Ariel
