Docs Editor: Update apache-spark-connect-to-sql-database.md

Author: sreekzz

articles/hdinsight/spark/apache-spark-connect-to-sql-database.md

@@ -36,10 +36,6 @@ Start by creating a Jupyter Notebook associated with the Spark cluster. You use
    > `https://CLUSTERNAME.azurehdinsight.net/jupyter`
 1. In the Jupyter Notebook, from the top-right corner, click **New**, and then click **Spark** to create a Scala notebook. Jupyter Notebooks on HDInsight Spark cluster also provide the **PySpark** kernel for Python2 applications, and the **PySpark3** kernel for Python3 applications. For this article, we create a Scala notebook.
 
-   ```
-     For more information about the kernels, see [Use Jupyter Notebook kernels with Apache Spark clusters in HDInsight](apache-spark-jupyter-notebook-kernels.md).
-   ```
-
 > [!NOTE]
 > In this article, we use a Spark (Scala) kernel because streaming data from Spark into SQL Database is only supported in Scala and Java currently. Even though reading from and writing into SQL can be done using Python, for consistency in this article, we use Scala for all three operations.