Fixing URL checks

.markdownlinkcheck.json

@@ -11,6 +11,18 @@
         },
         {
             "pattern": "^https://stmdwpublic.blob.core.windows.net/"
+        },
+        {
+            "pattern": "^https://azure.microsoft.com/en-us/free/"
+        },
+        {
+            "pattern": "^https://azure.microsoft.com/en-us/products/data-factory/"
+        },
+        {
+            "pattern": "^https://dev.azure.com"
+        },
+        {
+            "pattern": "^https://azure.microsoft.com/en-us/free/databricks/"
         }
     ]
 }

e2e_samples/mdw_governance/README.md

@@ -37,7 +37,7 @@ The following shows the architecture of the solution.
 - [Azure Data Factory](https://azure.microsoft.com/en-us/products/data-factory/)
 - [Azure Data Lake Gen2](https://docs.microsoft.com/azure/storage/blobs/data-lake-storage-introduction)
 - [Azure Databricks](https://docs.microsoft.com/azure/databricks/)
-- [Azure Key Vault](https://azure.microsoft.com/products/key-vault/)
+- [Azure Key Vault](https://azure.microsoft.com/en-us/products/key-vault/)
 - [Application Insights](https://docs.microsoft.com/azure/azure-monitor/app/app-insights-overview)
 - [Office365 API Connection](https://docs.microsoft.com/azure/connectors/connectors-create-api-office365-outlook)
 - [Azure Virtual Network](https://docs.microsoft.com/azure/virtual-network/virtual-networks-overview)

e2e_samples/parking_sensors/README.md

@@ -58,7 +58,7 @@ The sample demonstrate how DevOps principles can be applied end to end Data Pipe
 
 ## Solution Overview
 
-The solution pulls near realtime [Melbourne Parking Sensor data](https://www.melbourne.vic.gov.au/about-council/governance-transparency/open-data/Pages/on-street-parking-data.aspx) from a publicly available REST api endpoint and saves this to [Azure Data Lake Gen2](https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction). It then validates, cleanses, and transforms the data to a known schema using [Azure Databricks](https://azure.microsoft.com/products/databricks/). A second Azure Databricks job then transforms these into a [Star Schema](https://en.wikipedia.org/wiki/Star_schema) which are then loaded into [Azure Synapse Analytics (formerly SQLDW)](https://azure.microsoft.com/products/synapse-analytics/) using [Polybase](https://docs.microsoft.com/en-us/sql/relational-databases/polybase/polybase-guide?view=sql-server-ver15). The entire pipeline is orchestrated with [Azure Data Factory](https://azure.microsoft.com/en-us/products/data-factory/).
+The solution pulls near realtime [Melbourne Parking Sensor data](https://www.melbourne.vic.gov.au/about-council/governance-transparency/open-data/Pages/on-street-parking-data.aspx) from a publicly available REST api endpoint and saves this to [Azure Data Lake Gen2](https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction). It then validates, cleanses, and transforms the data to a known schema using [Azure Databricks](https://azure.microsoft.com/en-us/products/databricks/). A second Azure Databricks job then transforms these into a [Star Schema](https://en.wikipedia.org/wiki/Star_schema) which are then loaded into [Azure Synapse Analytics (formerly SQLDW)](https://azure.microsoft.com/products/synapse-analytics/) using [Polybase](https://docs.microsoft.com/en-us/sql/relational-databases/polybase/polybase-guide?view=sql-server-ver15). The entire pipeline is orchestrated with [Azure Data Factory](https://azure.microsoft.com/en-us/products/data-factory/).
 
 ### Architecture
 
@@ -83,12 +83,12 @@ See [here](#build-and-release-pipeline) for details.
 It makes use of the following azure services:
 
 - [Azure Data Factory](https://azure.microsoft.com/en-us/products/data-factory/)
-- [Azure Databricks](https://azure.microsoft.com/products/databricks/)
+- [Azure Databricks](https://azure.microsoft.com/en-us/products/databricks/)
 - [Azure Data Lake Gen2](https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction)
 - [Azure Synapse Analytics (formerly SQLDW)](https://azure.microsoft.com/products/synapse-analytics/)
 - [Azure DevOps](https://azure.microsoft.com/en-us/products/devops/)
 - [Application Insights](https://docs.microsoft.com/en-us/azure/azure-monitor/app/app-insights-overview)
-- [PowerBI](https://powerbi.microsoft.com/en-us/)
+- [PowerBI](https://www.microsoft.com/en-us/power-platform/products/power-bi/)
 
 For a detailed walk-through of the solution and key concepts, watch the following video recording:
 

e2e_samples/parking_sensors_synapse/README.md

@@ -62,7 +62,7 @@ It makes use of the following azure services:
 - [Azure Synapse Analytics](https://azure.microsoft.com/products/synapse-analytics/)
 - [Azure Data Lake Gen2](https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction)
 - [Azure DevOps](https://azure.microsoft.com/en-us/products/devops/)
-- [PowerBI](https://powerbi.microsoft.com/en-us/)
+- [PowerBI](https://www.microsoft.com/en-us/power-platform/products/power-bi/)
 - [Application Insights](https://docs.microsoft.com/en-us/azure/azure-monitor/app/app-insights-overview)
 - [Log Analytics](https://docs.microsoft.com/en-us/azure/azure-monitor/logs/log-analytics-overview)
 

single_tech_samples/databricks/sample1_basic_azure_databricks_environment/README.md

@@ -57,7 +57,7 @@ The following technologies are used to build this sample:
 
 - [Azure Databricks](https://azure.microsoft.com/en-us/free/databricks/)
 - [Azure Storage](https://azure.microsoft.com/en-us/products/storage/data-lake-storage/)
-- [Azure Key Vault](https://azure.microsoft.com/products/key-vault/)
+- [Azure Key Vault](https://azure.microsoft.com/en-us/products/key-vault/)
 - [Azure CLI](https://docs.microsoft.com/en-us/cli/azure/)
 - [Azure Resource Manager](https://docs.microsoft.com/en-us/azure/azure-resource-manager/management/overview)
 

single_tech_samples/databricks/sample2_enterprise_azure_databricks_environment/README.md

@@ -76,7 +76,7 @@ The following technologies are used to build this sample:
 
 - [Azure Databricks](https://azure.microsoft.com/en-us/free/databricks/)
 - [Azure Storage](https://azure.microsoft.com/en-us/products/storage/data-lake-storage/)
-- [Azure Key Vault](https://azure.microsoft.com/products/key-vault/)
+- [Azure Key Vault](https://azure.microsoft.com/en-us/products/key-vault/)
 - [Azure Virtual networks](https://docs.microsoft.com/en-us/azure/virtual-network/virtual-networks-overview)
 - [Azure Firewall](https://docs.microsoft.com/en-us/azure/firewall/overview)
 - [Azure Route tables](https://docs.microsoft.com/en-us/azure/virtual-network/manage-route-table)

single_tech_samples/datafactory/sample1_cicd/README.md

@@ -53,7 +53,7 @@ The following shows the overall CI/CD process as built with Azure DevOps Pipelin
 
 - [Azure Data Factory](https://azure.microsoft.com/en-us/products/data-factory/)
 - [Azure Data Lake Gen2](https://docs.microsoft.com/azure/storage/blobs/data-lake-storage-introduction)
-- [Azure Key Vault](https://azure.microsoft.com/products/key-vault/)
+- [Azure Key Vault](https://azure.microsoft.com/en-us/products/key-vault/)
 - [Azure DevOps](https://azure.microsoft.com/en-us/products/devops/)
 - [pytest-adf](https://github.com/devlace/pytest-adf)
 

single_tech_samples/purview/README.md

@@ -44,7 +44,7 @@ The following shows the simple architecture of the Azure Purview connected to fe
 - [Azure Purview](https://azure.microsoft.com/en-us/products/devops/)
 - [Azure Data Factory](https://azure.microsoft.com/en-us/products/data-factory/)
 - [Azure Data Lake Gen2](https://docs.microsoft.com/azure/storage/blobs/data-lake-storage-introduction)
-- [Azure Key Vault](https://azure.microsoft.com/products/key-vault/)
+- [Azure Key Vault](https://azure.microsoft.com/en-us/products/key-vault/)
 
 ## Key Learnings