diff --git a/docs/structured-streaming-programming-guide.md b/docs/structured-streaming-programming-guide.md
index 925e2cfe717c0..821225753320d 100644
--- a/docs/structured-streaming-programming-guide.md
+++ b/docs/structured-streaming-programming-guide.md
@@ -511,7 +511,7 @@ returned by `SparkSession.readStream()`. In [R](api/R/read.stream.html), with th
 There are a few built-in sources.
 
   - **File source** - Reads files written in a directory as a stream of data. Files will be processed in the order of file modification time. If `latestFirst` is set, order will be reversed. Supported file formats are text, CSV, JSON, ORC, Parquet. See the docs of the DataStreamReader interface for a more up-to-date list, and supported options for each file format. Note that the files must be atomically placed in the given directory, which in most file systems, can be achieved by file move operations.
-  - **Kafka source** - Reads data from Kafka. It's compatible with Kafka broker versions 0.10.0 or higher. See the [Kafka Integration Guide](structured-streaming-kafka-0-10-integration.html) for more details.
+  - **Kafka source** - Reads data from Kafka. It's compatible with Kafka broker versions 0.10.0 or higher. See the [Kafka Integration Guide](structured-streaming-kafka-integration.html) for more details.
 
   - **Socket source (for testing)** - Reads UTF8 text data from a socket connection. The listening server socket is at the driver. Note that this should be used only for testing as this does not provide end-to-end fault-tolerance guarantees. 
 
@@ -582,7 +582,7 @@ Here are the details of all the sources in Spark.
   <tr>
     <td><b>Kafka Source</b></td>
     <td>
-        See the <a href="structured-streaming-kafka-0-10-integration.html">Kafka Integration Guide</a>.
+        See the <a href="structured-streaming-kafka-integration.html">Kafka Integration Guide</a>.
     </td>
     <td>Yes</td>
     <td></td>
@@ -1835,7 +1835,7 @@ Here are the details of all the sinks in Spark.
   <tr>
     <td><b>Kafka Sink</b></td>
     <td>Append, Update, Complete</td>
-    <td>See the <a href="structured-streaming-kafka-0-10-integration.html">Kafka Integration Guide</a></td>
+    <td>See the <a href="structured-streaming-kafka-integration.html">Kafka Integration Guide</a></td>
     <td>Yes (at-least-once)</td>
     <td>More details in the <a href="structured-streaming-kafka-integration.html">Kafka Integration Guide</a></td>
   </tr>