diff --git a/README.md b/README.md
index f522a158..6f01b8bc 100755
--- a/README.md
+++ b/README.md
@@ -6,76 +6,4 @@ modification to the existing data nor queries. Shark supports Hive's query langu
 metastore, serialization formats, and user-defined functions.
 
 
-## Build
-
-Shark requires Hive 0.7.0 and Spark (0.4-SNAPSHOT).
-
-Get Hive from Apache:
-
-    $ export HIVE_HOME=/path/to/hive
-    $ wget http://archive.apache.org/dist/hive/hive-0.7.0/hive-0.7.0-bin.tar.gz
-    $ tar xvzf hive-0.7.0-bin.tar.gz
-    $ mv hive-0.7.0-bin $HIVE_HOME
-
-Get Spark from Github, compile, and publish to local ivy:
-
-    $ git clone https://github.com/mesos/spark.git spark 
-    $ cd spark 
-    $ sbt/sbt publish-local
-
-Get Shark from Github:
-
-    $ git clone git://github.com/amplab/shark.git shark
-    $ cd shark
-
-Before building Shark, first modify the config file:
-
-    $ conf/shark-env.sh 
-
-Compile Shark (make sure `$HIVE_HOME` is set in `conf/shark-env.sh`):
-
-    $ sbt/sbt products
-
-
-## Execution
-
-There are several executables in /bin:
-
-* `shark`: Runs Shark CLI.
-* `shark-withinfo`: Runs Shark with INFO level logs printed to the console.
-* `shark-withdebug`: Runs Shark with DEBUG level logs printed to the console.
-* `shark-shell`: Runs Shark scala console. This provides an experimental feature
-to convert Hive QL queries into `TableRDD`.
-* `clear-buffer-cache.py`: Automatically clears OS buffer caches on Mesos EC2
-clusters. This is handy for performance studies.
-
-
-## Runtime Configuration
-
-Shark reuses Hive's configuration files, which are loaded from `$HIVE_HOME/conf`.
-
-We also include a few Shark-specific configuration parameters that can be set
-in the same way as you would set configuration parameters in Hive (e.g. from the 
-Shark CLI):
-
-    shark> set shark.exec.mode = [hive | shark (default)]
-    shark> set shark.explain.mode = [hive | shark (default)]
-
-
-## Caching
-
-Shark caches tables in memory as long as their name ends in "`_cached`". For example, 
-if you have a table named "test", you can create a cached version of it as follows:
-
-    shark> CREATE TABLE test_cached AS SELECT * FROM test;
-
-
-References
-----------
-For information on setting up Hive or HiveQl, please read:
-https://cwiki.apache.org/confluence/display/Hive/GettingStarted
-
-For information on Spark, please read:
-https://github.com/mesos/spark
-
-
+# For current documentation, see the [Shark Project Wiki](https://github.com/amplab/shark/wiki)