Deferred docs cleanup

This issue will catalog the deferred cleanup tasks identified during the review of PR #115.

- [ ] `docs/basics.txt`: "We already differentiate between LOCAL and REMOTE deployments. And refer to BerkeleyJE as an embedded persistence engine. Somewhere I also think I saw "embedded Cassandra" in Janus. Shall we call this "serverless" or "headless" mode to avoid confusion with other uses of the word embedded?" – @amcp
- [ ] `docs/basics.txt`: rationalize the uses of the term "server", "cluster", "instance".
* @amcp [said](https://github.com/JanusGraph/janusgraph/pull/115#discussion_r101560594): Replace _"A JanusGraph graph database cluster consists of one or multiple JanusGraph instances."_ with _"JanusGraph server cluster consists of one or more JanusGraph server instances."_
* @jerryjch [said](https://github.com/JanusGraph/janusgraph/pull/115#discussion_r104328235): "Will the use of term 'server' cluster confuse with the real Gremlin JanusGraph server? Implying that there are always Gremlin server involved (the so-called remote server mode) and excluding other deployment modes?"
- [ ] `docs/bulkloading`: "Batchgraph is TP2.0 concept. Now i think we have BulkVertexLoaderProgram or something like that." – @amcp
- [ ] `docs/bulkloading.txt`: same for Data Sorting as for Batchgraph
- [ ] `docs/hbase.txt`: add instructions for EMR + HBase
- [ ] `docs/partitioning.txt`: "Edge cuts are more meaningful when the JanusGraph servers are on the same hosts as the storage backend. If you have to make a network call to a different host on each hop of a traversal, the benefit of edge cuts and custom placement strategies can be largely nullified." – @amcp

Start by reviewing PR #115 and its discussion, then inspect the checklist locations in docs/basics.txt, docs/bulkloading, docs/bulkloading.txt, docs/hbase.txt, and docs/partitioning.txt. Resolve the terminology, bulk-loading, EMR/HBase, and partitioning guidance issues described there, with every checklist item addressed in the documentation.

Written by the indexing model from the issue text.