diff --git a/docs/quick-start.md b/docs/quick-start.md
index d34a4e60f3253..64023994771b7 100644
--- a/docs/quick-start.md
+++ b/docs/quick-start.md
@@ -336,7 +336,7 @@ As with the Scala example, we initialize a SparkContext, though we use the speci
 `JavaSparkContext` class to get a Java-friendly one. We also create RDDs (represented by
 `JavaRDD`) and run transformations on them. Finally, we pass functions to Spark by creating classes
 that extend `spark.api.java.function.Function`. The
-[Java programming guide](java-programming-guide.html) describes these differences in more detail.
+[Spark programming guide](programming-guide.html) describes these differences in more detail.
 
 To build the program, we also write a Maven `pom.xml` file that lists Spark as a dependency.
 Note that Spark artifacts are tagged with a Scala version.
diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md
index 00ac1e2b875b9..3d02e010b3f3d 100644
--- a/docs/streaming-programming-guide.md
+++ b/docs/streaming-programming-guide.md
@@ -813,10 +813,8 @@ output operators are defined:
 The complete list of DStream operations is available in the API documentation. For the Scala API,
 see [DStream](api/scala/index.html#org.apache.spark.streaming.dstream.DStream)
 and [PairDStreamFunctions](api/scala/index.html#org.apache.spark.streaming.dstream.PairDStreamFunctions).
-For the Java API, see [JavaDStream](api/scala/index.html#org.apache.spark.streaming.api.java.dstream.DStream)
-and [JavaPairDStream](api/scala/index.html#org.apache.spark.streaming.api.java.JavaPairDStream).
-Specifically for the Java API, see [Spark's Java programming guide](java-programming-guide.html)
-for more information.
+For the Java API, see [JavaDStream](api/java/org/apache/spark/streaming/api/java/JavaDStream.html)
+and [JavaPairDStream](api/java/org/apache/spark/streaming/api/java/JavaPairDStream.html).
 
 ## Persistence
 Similar to RDDs, DStreams also allow developers to persist the stream's data in memory. That is,