#1 Make changes per proposals from @kcoleman (#7)

* #1 Make changes per proposals from @kcoleman

Author: mattsunsjf

README.md

@@ -6,10 +6,11 @@ MarkLogic Content Pump (mlcp) is a command-line tool that provides the fastest w
 * Split and load large, aggregate XML files or delimited text
 * Bulk load billions of triples or quads from RDF files
 * Archive and restore database contents across environments
+* Export data from a database to a file system
 * Copy subsets of data between databases
 * Load documents from HDFS, including Hadoop `SequenceFile`s
 
-mlcp can run locally, across many threads on a single machine, or distributedly, across many nodes in a Hadoop cluster.
+You can run mlcp across many threads on a single machine or across many nodes in a Hadoop cluster.
 
 The Hadoop Connector is an extension to Hadoop’s MapReduce framework that allows you to easily and efficiently communicate with a MarkLogic database from within a Hadoop job. mlcp uses the Hadoop Connector internally, but it can also be used to build Hadoop MapReduce jobs that interact with MarkLogic, outside of mlcp, such as in a larger Hadoop application. Core features of the  Hadoop Connector include:
 
@@ -34,9 +35,13 @@ Wiki pages of this project contain useful information when you work on developme
 
 - [Wiki Page of marklogic-contentpump](https://github.com/marklogic/marklogic-contentpump/wiki)
 
-## Build
+## Required Software
+
+- [Required Software for the Hadoop Connector](http://pubs.marklogic.com:8011/9.0/guide/mapreduce/quickstart#id_78738)
+- [Required Software for mlcp](http://pubs.marklogic.com:8011/9.0/guide/mlcp/install#id_44231)
+- [Apache Maven](https://maven.apache.org/) (version >= 3.03) is required to build mlcp and the Hadoop Connector.
 
-mlcp and the Hadoop Connector use [Apache Maven](https://maven.apache.org/) (version >= 3.03) to build.
+## Build
 
 mlcp and Hadoop Connector can be built together. Steps to build:
 
@@ -48,14 +53,13 @@ $ mvn clean package -DskipTests=true
 
 The build writes to the respective **deliverable** directories under the top-level `./mlcp/` and `./mapreduce/` directories.
 
-Alternatively, you can build mlcp and the Hadoop Connector independently from each component’s root directory (i.e. `./mlcp/` and `./mapreduce/`) with above command. *Note that mlcp depends on the Hadoop Connector.* So successful build of Hadoop Connector is required to build mlcp.
+Alternatively, you can build mlcp and the Hadoop Connector independently from each component’s root directory (i.e. `./mlcp/` and `./mapreduce/`) with the above command. *Note that mlcp depends on the Hadoop Connector*, so a successful build of the Hadoop Connector is required to build mlcp.
 
 For information on contributing to this project see [CONTRIBUTING.md](https://github.com/marklogic/marklogic-contentpump/blob/8.0-master/CONTRIBUTING.md). For information on working on development of this project see [project wiki page](https://github.com/marklogic/marklogic-contentpump/wiki).
 
-
 ## Tests
 
-The unit tests included in this repository are designed to provide illustrative examples of the APIs and to sanity check external contributions. MarkLogic Engineering runs a more comprehensive set of unit, integration, and performance tests internally. To run unit tests, under `marklogic-contentpump/` root directory:
+The unit tests included in this repository are designed to provide illustrative examples of the APIs and to sanity check external contributions. MarkLogic Engineering runs a more comprehensive set of unit, integration, and performance tests internally. To run the unit tests, execute the following command from the `marklogic-contentpump/` root directory:
 
 ``` bash
 $ mvn test
@@ -65,7 +69,7 @@ For detailed information about running unit tests, see [Guideline to Run Tests](
 
 ## Have a question? Need help?
 
-If you have questions about how to use mlcp or the Hadoop Connector, you can ask on [StackOverflow](http://stackoverflow.com/questions/tagged/mlcp). Remember to tag the question with [**mlcp** and **marklogic**](http://stackoverflow.com/questions/tagged/mlcp+marklogic). If you find a bug or would like to propose a new capability [file a GitHub issue](https://github.com/marklogic/marklogic-contentpump/issues/new).
+If you have questions about mlcp or the Hadoop Connector, ask on [StackOverflow](http://stackoverflow.com/questions/tagged/mlcp). Tag your question with [**mlcp** and **marklogic**](http://stackoverflow.com/questions/tagged/mlcp+marklogic). If you find a bug or would like to propose a new capability, [file a GitHub issue](https://github.com/marklogic/marklogic-contentpump/issues/new).
 
 ## Support