Fixing linting issues with broken links

Azure-Samples · Nov 21, 2023 · 70ab5be · 70ab5be
1 parent 974bde8
commit 70ab5be
Show file tree

Hide file tree

Showing 7 changed files with 10 additions and 10 deletions.
diff --git a/README.md b/README.md
@@ -18,7 +18,7 @@ description: "Code samples showcasing how to apply DevOps concepts to the Modern
 
 # DataOps for the Modern Data Warehouse
 
-This repository contains numerous code samples and artifacts on how to apply DevOps principles to data pipelines built according to the [Modern Data Warehouse (MDW)](https://azure.microsoft.com/en-au/solutions/architecture/modern-data-warehouse/) architectural pattern on Microsoft Azure.
+This repository contains numerous code samples and artifacts on how to apply DevOps principles to data pipelines built according to the [Modern Data Warehouse (MDW)](https://learn.microsoft.com/en-au/azure/architecture/solution-ideas/articles/enterprise-data-warehouse) architectural pattern on Microsoft Azure.
 
 The samples are either focused on a single azure service (**Single Tech Samples**) or showcases an end to end data pipeline solution as a reference implementation (**End to End Samples**). Each sample contains code and artifacts relating one or more of the following
 

diff --git a/e2e_samples/parking_sensors/README.md b/e2e_samples/parking_sensors/README.md
@@ -1,6 +1,6 @@
 # DataOps - Parking Sensor Demo <!-- omit in toc -->
 
-The sample demonstrate how DevOps principles can be applied end to end Data Pipeline Solution built according to the [Modern Data Warehouse (MDW)](https://azure.microsoft.com/en-au/solutions/architecture/modern-data-warehouse/) pattern.
+The sample demonstrate how DevOps principles can be applied end to end Data Pipeline Solution built according to the [Modern Data Warehouse (MDW)](https://learn.microsoft.com/en-au/azure/architecture/solution-ideas/articles/enterprise-data-warehouse) pattern.
 
 ## Contents <!-- omit in toc -->
 
@@ -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/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/).
+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/en-us/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
 
@@ -85,7 +85,7 @@ 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/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 Synapse Analytics (formerly SQLDW)](https://azure.microsoft.com/en-us/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://www.microsoft.com/en-us/power-platform/products/power-bi/)

diff --git a/e2e_samples/parking_sensors_synapse/README.md b/e2e_samples/parking_sensors_synapse/README.md
@@ -1,6 +1,6 @@
 # DataOps - Parking Sensor (Synapse) <!-- omit in toc -->
 
-The sample demonstrate how DevOps principles can be applied to an end to end Data Pipeline Solution built according to the [Modern Data Warehouse (MDW)](https://azure.microsoft.com/en-au/solutions/architecture/modern-data-warehouse/) pattern, implemented in Azure Synapse.
+The sample demonstrate how DevOps principles can be applied to an end to end Data Pipeline Solution built according to the [Modern Data Warehouse (MDW)](https://learn.microsoft.com/en-au/azure/architecture/solution-ideas/articles/enterprise-data-warehouse) pattern, implemented in Azure Synapse.
 
 ## Contents <!-- omit in toc -->
 
@@ -59,7 +59,7 @@ See [here](#build-and-release-pipeline) for details.
 
 It makes use of the following azure services:
 
-- [Azure Synapse Analytics](https://azure.microsoft.com/products/synapse-analytics/)
+- [Azure Synapse Analytics](https://azure.microsoft.com/en-us/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://www.microsoft.com/en-us/power-platform/products/power-bi/)

diff --git a/single_tech_samples/databricks/sample4_ci_cd/README.md b/single_tech_samples/databricks/sample4_ci_cd/README.md
@@ -80,7 +80,7 @@ The following are the prerequisites for deploying this template :
 1. [Github account](https://github.com/)
 2. [Azure DevOps account](https://dev.azure.com)
 3. [Azure account](https://portal.azure.com)
-4. [Azure Databricks Workspace](https://azure.microsoft.com/en-us/services/databricks/)
+4. [Azure Databricks Workspace](https://azure.microsoft.com/en-us/products/databricks/)
 
 ### 2.2. Infrastructure as Code (IaC)
 

diff --git a/...tech_samples/datafactory/sample3_data_pre_processing_with_azure_batch/README.md b/...tech_samples/datafactory/sample3_data_pre_processing_with_azure_batch/README.md
@@ -102,7 +102,7 @@ The following technologies are used to build this sample:
 
 - [Azure Data Factory](https://azure.microsoft.com/en-us/products/data-factory/)
 - [Azure Batch](https://azure.microsoft.com/en-us/products/batch)
-- [Azure Storage(ADLS)](https://azure.microsoft.com/services/storage/data-lake-storage/)
+- [Azure Data Lake Storage](https://azure.microsoft.com/en-us/products/storage/data-lake-storage/)
 - [NFS Mounts](https://learn.microsoft.com/azure/storage/blobs/network-file-system-protocol-support-how-to)
 
 ## How to use this sample

diff --git a/single_tech_samples/streamanalytics/README.md b/single_tech_samples/streamanalytics/README.md
@@ -2,7 +2,7 @@
 
 ![introductory diagram](./docs/images/ASA-job.PNG)
 
-[Azure Stream Analytics](https://azure.microsoft.com/products/stream-analytics/) is a serverless real-time analytics service. The goal of this sample is to demonstrate how to develop a streaming pipeline, with IaC and testability in mind.
+[Azure Stream Analytics](https://azure.microsoft.com/en-us/products/stream-analytics/) is a serverless real-time analytics service. The goal of this sample is to demonstrate how to develop a streaming pipeline, with IaC and testability in mind.
 
 ## Prerequisites
 

diff --git a/single_tech_samples/synapseanalytics/sample3_integration_testing/README.md b/single_tech_samples/synapseanalytics/sample3_integration_testing/README.md
@@ -28,7 +28,7 @@ The solution runs a flow triggered on a storage file upload. It then runs a samp
 
 It makes use of the following azure services:
 
-- [Azure Synapse Analytics](https://azure.microsoft.com/products/synapse-analytics/)
+- [Azure Synapse Analytics](https://azure.microsoft.com/en-us/products/synapse-analytics/)
 - [Azure Data Lake Gen2](https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction)
 
 ## Key Concepts