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

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