Resolving link

Author: whhender

articles/synapse-analytics/spark/apache-spark-overview.md

@@ -31,7 +31,7 @@ Spark pools in Azure Synapse offer a fully managed Spark service. The benefits o
 | Ease of creation |You can create a new Spark pool in Azure Synapse in minutes using the Azure portal, Azure PowerShell, or the Synapse Analytics .NET SDK. See [Get started with Spark pools in Azure Synapse Analytics](../quickstart-create-apache-spark-pool-studio.md). |
 | Ease of use |Synapse Analytics includes a custom notebook derived from [nteract](https://nteract.io/). You can use these notebooks for interactive data processing and visualization.|
 | REST APIs |Spark in Azure Synapse Analytics includes [Apache Livy](https://github.com/cloudera/hue/tree/master/apps/spark/java#welcome-to-livy-the-rest-spark-server), a REST API-based Spark job server to remotely submit and monitor jobs. |
-| Support for Azure Data Lake Storage Generation 2| Spark pools in Azure Synapse can use Azure Data Lake Storage Generation 2 and BLOB storage. For more information on Data Lake Storage, see [Overview of Azure Data Lake Storage](../../data-lake-store/data-lake-store-overview.md). |
+| Support for Azure Data Lake Storage Generation 2| Spark pools in Azure Synapse can use Azure Data Lake Storage Generation 2 and BLOB storage. For more information on Data Lake Storage, see [Overview of Azure Data Lake Storage](../../storage/blobs/data-lake-storage-introduction.md) |
 | Integration with third-party IDEs | Azure Synapse provides an IDE plugin for [JetBrains' IntelliJ IDEA](https://www.jetbrains.com/idea/) that is useful to create and submit applications to a Spark pool. |
 | Preloaded Anaconda libraries |Spark pools in Azure Synapse come with Anaconda libraries preinstalled. [Anaconda](https://docs.continuum.io/anaconda/) provides close to 200 libraries for machine learning, data analysis, visualization, and other technologies. |
 | Scalability | Apache Spark in Azure Synapse pools can have Auto-Scale enabled, so that pools scale by adding or removing nodes as needed. Also, Spark pools can be shut down with no loss of data since all the data is stored in Azure Storage or Data Lake Storage. |