links

Author: HeidiSteen

articles/cognitive-services/big-data/cognitive-services-for-big-data.md

@@ -59,15 +59,29 @@ Cognitive Services for big data can use resources from any [supported region](ht
 
 ## Supported programming languages for Cognitive Services for big data
 
-Cognitive Services for big data are built on Apache Spark. Apache Spark is a distributed computing library that supports Java, Scala, Python, R, and many other languages. These languages are currently supported.
+Cognitive Services for big data are built on Apache Spark. Apache Spark is a distributed computing library that supports Java, Scala, Python, R, and many other languages. See [SynapseML](https://microsoft.github.io/SynapseML) for documentation, samples, and blog posts.
+
+The following languages are currently supported.
 
 ### Python
 
-We provide a PySpark API in the `mmlspark.cognitive` namespace of [Microsoft ML for Apache Spark](https://aka.ms/spark). For more information, see the [Python Developer API](https://mmlspark.blob.core.windows.net/docs/1.0.0-rc1/pyspark/mmlspark.cognitive.html). For usage examples, see the [Python Samples](samples-python.md).
+We provide a PySpark API for current and legacy libraries:
+
+* [`synapseml.cognitive`](https://mmlspark.blob.core.windows.net/docs/0.10.0/pyspark/synapse.ml.cognitive.html)
+
+* [`mmlspark.cognitive`](https://mmlspark.blob.core.windows.net/docs/0.18.1/pyspark/modules.html)
+
+For more information, see the [Python Developer API](https://mmlspark.blob.core.windows.net/docs/1.0.0-rc1/pyspark/mmlspark.cognitive.html). For usage examples, see the [Python Samples](samples-python.md).
 
 ### Scala and Java
 
-We provide a Scala and Java-based Spark API in the `com.microsoft.ml.spark.cognitive` namespace of [Microsoft ML for Apache Spark](https://aka.ms/spark). For more information, see the [Scala Developer API](https://mmlspark.blob.core.windows.net/docs/1.0.0-rc1/scala/index.html#package). For usage examples, see the [Scala Samples](samples-scala.md).
+We provide a Scala and Java-based Spark API for current and legacy libraries:
+
+* [`com.microsoft.synapseml.cognitive`](https://mmlspark.blob.core.windows.net/docs/0.10.0/scala/com/microsoft/azure/synapse/ml/cognitive/index.html)
+
+* [`com.microsoft.ml.spark.cognitive`](https://mmlspark.blob.core.windows.net/docs/0.18.1/scala/index.html#com.microsoft.ml.spark.cognitive.package)
+
+For more information, see the [Scala Developer API](https://mmlspark.blob.core.windows.net/docs/1.0.0-rc1/scala/index.html#package). For usage examples, see the [Scala Samples](samples-scala.md).
 
 ## Supported platforms and connectors
 

articles/cognitive-services/big-data/getting-started.md

@@ -143,9 +143,9 @@ First, you can create a notebook in Azure Databricks. For other Spark cluster pr
     display(results.select("text", col("sentiment")[0].getItem("score").alias("sentiment")))
     ```
 
-1. Get your subscription key from the **Keys and Endpoint** menu from your Language resource in the Azure portal.
+1. Get your region and subscription key from the **Keys and Endpoint** menu from your Language resource in the Azure portal.
 
-1. Replace the subscription key placeholder in your Databricks notebook code with your subscription key.
+1. Replace the region and subscription key placeholders in your Databricks notebook code with values that are valid for your resource.
 
 1. Select the play, or triangle, symbol in the upper right of your notebook cell to run the sample. Optionally, select **Run All** at the top of your notebook to run all cells. The answers will display below the cell in a table.