diff --git a/README.md b/README.md
index e1bfc9a..36184b4 100644
--- a/README.md
+++ b/README.md
@@ -16,6 +16,7 @@ Data Ingress
 * [Load a JSON file into an SFrame](load_json.py)
 * [Load a collection XML files into an SFrame](sframe_xml_to_dict.py)
 * [Load an Avro file into an SFrame](load_avro.py)
+* [Load a file on HDFS into an SFrame](load_hdfs.py)
 
 Tabular Data Transformation
 -----------------------------
diff --git a/load_hdfs.py b/load_hdfs.py
new file mode 100644
index 0000000..a37bcd3
--- /dev/null
+++ b/load_hdfs.py
@@ -0,0 +1,35 @@
+import os
+import subprocess
+import graphlab as gl
+
+# Reading from HDFS into an SFrame is easy, as long as you know how to
+# construct your HDFS URL and your system has java installed in a relatively
+# standard way.  This how-to is meant to help if one of those two things are
+# not true for you.
+
+#### Installation-specific variables ####
+# Change these variables for your HDFS setup
+
+hdfs_url_base = None
+# An example of what should be in this variable
+#hdfs_url_base = 'hdfs://my.server.com:8020'
+
+username = 'evan'
+
+filepath = 'test.txt'
+
+#### Construct your HDFS URL ####
+# If you don't know how to get the server and port to reach your HDFS
+# installation, here's a way to do it that works on CDH 5.
+if hdfs_url_base is None:
+    hdfs_url_base = subprocess.check_output(
+            ['hdfs', 'getconf', '-confKey', 'fs.defaultFS']).rstrip()
+
+#### Specify a Java installation (OPTIONAL) ####
+# To set a specific java implementation to execute the HDFS commands, set this
+# environment variable BEFORE running any GraphLab Create commands.
+os.environ['GRAPHLAB_JAVA_HOME'] = '/foo/java'
+
+sf = gl.SFrame.read_csv(hdfs_url_base + '/user/' + username + '/' + filepath); 
+
+print sf