Moving docs to Wiki

Fixing README links

Author: rjrudin

README.md

@@ -13,43 +13,8 @@ the [MarkLogic Java Client API](http://docs.marklogic.com/guide/java). Those fea
 This is a lower-level library that is primarily used via [ml-app-deployer](https://github.com/rjrudin/ml-app-deployer) 
 and [ml-gradle](https://github.com/rjrudin/ml-gradle) and [ml-junit](https://github.com/rjrudin/ml-junit). But you can use it by itself too.
 
-### Loading Modules
+See the following Wiki pages for more information on some of the main features in this library:
 
-Here's a sample of loading modules - though it's best to look at the aforementioned projects to see all the ways this can be done:
-
-    DatabaseClient client = DatabaseClientFactory.newClient(...); // Use the ML Java Client API
-    AssetFileLoader assetFileLoader = new AssetFileLoader(client); // Uses the REST API to load asset modules
-    DefaultModulesLoader modulesLoader = new DefaultModulesLoader(assetLoader);
-    File modulesDir = new File("src/main/ml-modules");
-    ModulesFinder modulesFinder = new DefaultModulesFinder(); // Allows for adjusting where modules are stored on a filesystem
-    modulesLoader.loadModules(modulesDir, modulesFinder, client);
-
-### Parallelized batch writes
-
-The [BatchWriter](https://github.com/rjrudin/ml-javaclient-util/tree/master/src/main/java/com/marklogic/client/batch) library
-was created primarily for applications using [marklogic-spring-batch](https://github.com/sastafford/marklogic-spring-batch). But 
-it can be used in any environment. It provides the following features:
-
-1. Uses Spring's [TaskExecutor library](https://docs.spring.io/spring/docs/current/spring-framework-reference/html/scheduling.html) for parallelizing writes
-1. Supports writes via the REST API or XCC
-
-Via Spring's TaskExecutor library, you can essentially throw an infinite number of documents at this interface. The library
-will default to a sensible implementation of [ThreadPoolTaskExecutor](http://docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/scheduling/concurrent/ThreadPoolTaskExecutor.html),
-but you can override that with any TaskExecutor implementation you like.
-
-Once MarkLogic 9 is available, an implementation will be used that depends on the new Data Movement SDK, which is being
-added to the MarkLogic Java Client API. 
-
-Here's a sample using two DatabaseClient instances:
-
-		// This is all basic Java Client API stuff
-    DatabaseClient client1 = DatabaseClientFactory.newClient("host1", ...);
-    DatabaseClient client2 = DatabaseClientFactory.newClient("host2", ...);
-    DocumentWriteOperation doc1 = new DocumentWriteOperationImpl("test1.xml", ...);
-    DocumentWriteOperation doc2 = new DocumentWriteOperationImpl("test2.xml", ...);
-    
-    // Here's how BatchWriter works
-    BatchWriter writer = new RestBatchWriter(Arrays.asList(client1, client2));
-    writer.initialize();
-    writer.write(Arrays.asList(doc1, doc2));
-    writer.waitForCompletion();
+1. [Loading files](https://github.com/marklogic-community/ml-javaclient-util/wiki/Loading-files), including modules
+1. [DMSDK Support](https://github.com/marklogic-community/ml-javaclient-util/wiki/DMSDK-Support)
+1. [Writing documents in batches](https://github.com/marklogic-community/ml-javaclient-util/wiki/Writing-documents-in-batches)