feat: Initial feature-engineering-on-fabric single-tech sample check-in

.markdownlinkcheck.json

@@ -8,6 +8,21 @@
         },
         {
             "pattern": "^https://sigdelta.com/blog/how-to-install-pyspark-locally/"
+        },
+        {
+            "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/"
         }
     ]
 }

.markdownlint.yml

@@ -1 +1,3 @@
 MD013: false
+MD024: false
+MD037: false

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](https://azure.microsoft.com/en-au/).
+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.
 
 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
 
@@ -54,7 +54,7 @@ The samples are either focused on a single azure service (**Single Tech Samples*
 - [**Temperature Events Solution**](e2e_samples/temperature_events) - This demonstrate a high-scale event-driven data pipeline with a focus on how to implement Observability and Load Testing.
 ![Architecture](e2e_samples/temperature_events/images/temperature-events-architecture.png?raw=true "Architecture")
 - [**Dataset Versioning Solution**](e2e_samples/dataset_versioning) - This demonstrates how to use DataFactory to Orchestrate DataFlow, to do DeltaLoads into DeltaLake On DataLake(DoDDDoD).
-- [**MDW Data Governance and PII data detection**](e2e_samples/mdw_governance) - This sample demonstrates how to deploy the Infrastructure of an end-to-end MDW Pipeline using [Azure DevOps pipelines](https://azure.microsoft.com/en-au/services/devops/pipelines/) along with a focus around Data Governance and PII data detection.
+- [**MDW Data Governance and PII data detection**](e2e_samples/mdw_governance) - This sample demonstrates how to deploy the Infrastructure of an end-to-end MDW Pipeline using [Azure DevOps pipelines](https://azure.microsoft.com/en-us/products/devops/pipelines/) along with a focus around Data Governance and PII data detection.
   - *Technology stack*: Azure DevOps, Azure Data Factory, Azure Databricks, Azure Purview, [Presidio](https://github.com/microsoft/presidio)
 
 ## Contributing

e2e_samples/dataset_versioning/databricks/README.md

@@ -37,7 +37,7 @@ The [official doc](https://docs.microsoft.com/en-us/azure/databricks/security/da
      1. Navigating to your Storage account in the Azure Portal then clicking on `containers` -> `container(datalake)` -> `Manage ACL`
      2. Add your READ and EXECUTE permission and click save.
      3. [**Optional**] In case you have any existing files in the Data Lake container, you may need to propogate ACL permissions.
-        1. Open up [Microsoft Azure Storage Explorer](https://azure.microsoft.com/en-us/features/storage-explorer/)
+        1. Open up [Microsoft Azure Storage Explorer](https://azure.microsoft.com/en-us/products/storage/storage-explorer/)
         2. Navigate to the storage account and right click on container to select **propagate access control list**.
         > Propagate access control list cannot be found: Try updating azure storage explorer to the latest version.
 

e2e_samples/deployment_stamps/README.md

@@ -66,7 +66,7 @@ The same follow applies to Stamp2 and Stamp3 too. In this current version of sam
 
 ### Prerequisites
 
-1. [Azure DevOps account](https://dev.azure.com/)
+1. [Azure DevOps account](https://azure.microsoft.com/en-us/products/devops/)
 2. [Azure Account](https://azure.microsoft.com/en-us/free/)  
 *Permissions needed*: ability to create and deploy to an azure resource group, a service principal, and grant the collaborator role to the service principal over the resource group; ability to manage Azure AD to create App registration, Users, Groups and Enterprise App Registration.
 

e2e_samples/mdw_governance/README.md

@@ -33,18 +33,18 @@ The following shows the architecture of the solution.
 
 ### Technologies used
 
-- [Azure Purview](https://azure.microsoft.com/en-au/services/devops/)
-- [Azure Data Factory](https://azure.microsoft.com/en-au/services/data-factory/)
-- [Azure Data Lake Gen2](https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction)
-- [Azure Databricks](https://docs.microsoft.com/en-us/azure/databricks/)
-- [Azure Key Vault](https://azure.microsoft.com/en-us/services/key-vault/)
-- [Application Insights](https://docs.microsoft.com/en-us/azure/azure-monitor/app/app-insights-overview)
-- [Office365 API Connection](https://docs.microsoft.com/en-us/azure/connectors/connectors-create-api-office365-outlook)
-- [Azure Virtual Network](https://docs.microsoft.com/en-us/azure/virtual-network/virtual-networks-overview)
-- [Private Endpoint](https://docs.microsoft.com/en-us/azure/private-link/private-endpoint-overview)
-- [Azure Function](https://docs.microsoft.com/en-us/azure/azure-functions/)
-- [Azure Logic App](https://azure.microsoft.com/en-us/services/logic-apps/)
-- [Azure Private DNS](https://docs.microsoft.com/en-us/azure/dns/private-dns-overview)
+- [Azure Purview](https://azure.microsoft.com/en-us/products/purview/)
+- [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/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)
+- [Private Endpoint](https://docs.microsoft.com/azure/private-link/private-endpoint-overview)
+- [Azure Function](https://docs.microsoft.com/azure/azure-functions/)
+- [Azure Logic App](https://azure.microsoft.com/products/logic-apps/)
+- [Azure Private DNS](https://docs.microsoft.com/azure/dns/private-dns-overview)
 
 ## Key Learnings
 
@@ -80,8 +80,8 @@ Each environment has an identical set of resources
 
 ### Prerequisites
 
-1. [Azure DevOps account](https://dev.azure.com/)
-2. [Azure Account](https://azure.microsoft.com/en-au/free/search/?&ef_id=Cj0KCQiAr8bwBRD4ARIsAHa4YyLdFKh7JC0jhbxhwPeNa8tmnhXciOHcYsgPfNB7DEFFGpNLTjdTPbwaAh8bEALw_wcB:G:s&OCID=AID2000051_SEM_O2ShDlJP&MarinID=O2ShDlJP_332092752199_azure%20account_e_c__63148277493_aud-390212648371:kwd-295861291340&lnkd=Google_Azure_Brand&dclid=CKjVuKOP7uYCFVapaAoddSkKcA)
+1. [Azure DevOps account](https://azure.microsoft.com/en-us/products/devops/)
+2. [Azure Account](https://azure.microsoft.com/en-us/free/)
    - *Permissions needed*: ability to create and deploy to an azure [resource group](https://docs.microsoft.com/en-us/azure/azure-resource-manager/management/overview), a [service principal](https://docs.microsoft.com/en-us/azure/active-directory/develop/app-objects-and-service-principals), and grant the [collaborator role](https://docs.microsoft.com/en-us/azure/role-based-access-control/overview) to the service principal over the resource group.
 
 ### Setup and Deployment

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/en-au/services/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-au/services/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-au/services/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
 
@@ -82,13 +82,13 @@ See [here](#build-and-release-pipeline) for details.
 
 It makes use of the following azure services:
 
-- [Azure Data Factory](https://azure.microsoft.com/en-au/services/data-factory/)
-- [Azure Databricks](https://azure.microsoft.com/en-au/services/databricks/)
+- [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/en-au/services/synapse-analytics/)
-- [Azure DevOps](https://azure.microsoft.com/en-au/services/devops/)
+- [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:
 
@@ -212,9 +212,9 @@ More resources:
 ### Prerequisites
 
 1. [Github account](https://github.com/)
-2. [Azure Account](https://azure.microsoft.com/en-au/free/search/?&ef_id=Cj0KCQiAr8bwBRD4ARIsAHa4YyLdFKh7JC0jhbxhwPeNa8tmnhXciOHcYsgPfNB7DEFFGpNLTjdTPbwaAh8bEALw_wcB:G:s&OCID=AID2000051_SEM_O2ShDlJP&MarinID=O2ShDlJP_332092752199_azure%20account_e_c__63148277493_aud-390212648371:kwd-295861291340&lnkd=Google_Azure_Brand&dclid=CKjVuKOP7uYCFVapaAoddSkKcA)
+2. [Azure Account](https://azure.microsoft.com/en-us/free/)
    - *Permissions needed*: ability to create and deploy to an azure [resource group](https://docs.microsoft.com/en-us/azure/azure-resource-manager/management/overview), a [service principal](https://docs.microsoft.com/en-us/azure/active-directory/develop/app-objects-and-service-principals), and grant the [collaborator role](https://docs.microsoft.com/en-us/azure/role-based-access-control/overview) to the service principal over the resource group.
-3. [Azure DevOps Project](https://azure.microsoft.com/en-us/services/devops/)
+3. [Azure DevOps Project](https://azure.microsoft.com/en-us/products/devops/)
    - *Permissions needed*: ability to create [service connections](https://docs.microsoft.com/en-us/azure/devops/pipelines/library/service-endpoints?view=azure-devops&tabs=yaml), [pipelines](https://docs.microsoft.com/en-us/azure/devops/pipelines/get-started/pipelines-get-started?view=azure-devops&tabs=yaml) and [variable groups](https://docs.microsoft.com/en-us/azure/devops/pipelines/library/variable-groups?view=azure-devops&tabs=yaml).
 
 #### Software pre-requisites if you don't use dev container<!-- omit in toc -->

e2e_samples/parking_sensors_synapse/README.md

@@ -59,10 +59,10 @@ See [here](#build-and-release-pipeline) for details.
 
 It makes use of the following azure services:
 
-- [Azure Synapse Analytics](https://azure.microsoft.com/en-au/services/synapse-analytics/)
+- [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-au/services/devops/)
-- [PowerBI](https://powerbi.microsoft.com/en-us/)
+- [Azure DevOps](https://azure.microsoft.com/en-us/products/devops/)
+- [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)
 
@@ -166,9 +166,9 @@ Please check the details [here](docs/observability.md).
 ### Prerequisites
 
 1. [Github account](https://github.com/)
-2. [Azure Account](https://azure.microsoft.com/en-au/free/search/?&ef_id=Cj0KCQiAr8bwBRD4ARIsAHa4YyLdFKh7JC0jhbxhwPeNa8tmnhXciOHcYsgPfNB7DEFFGpNLTjdTPbwaAh8bEALw_wcB:G:s&OCID=AID2000051_SEM_O2ShDlJP&MarinID=O2ShDlJP_332092752199_azure%20account_e_c__63148277493_aud-390212648371:kwd-295861291340&lnkd=Google_Azure_Brand&dclid=CKjVuKOP7uYCFVapaAoddSkKcA)
+2. [Azure Account](https://azure.microsoft.com/en-us/free/)
    - *Permissions needed*: ability to create and deploy to an azure [resource group](https://docs.microsoft.com/en-us/azure/azure-resource-manager/management/overview), a [service principal](https://docs.microsoft.com/en-us/azure/active-directory/develop/app-objects-and-service-principals), and grant the [collaborator role](https://docs.microsoft.com/en-us/azure/role-based-access-control/overview) to the service principal over the resource group.
-3. [Azure DevOps Project](https://azure.microsoft.com/en-us/services/devops/)
+3. [Azure DevOps Project](https://azure.microsoft.com/en-us/products/devops/)
    - *Permissions needed*: ability to create [service connections](https://docs.microsoft.com/en-us/azure/devops/pipelines/library/service-endpoints?view=azure-devops&tabs=yaml), [pipelines](https://docs.microsoft.com/en-us/azure/devops/pipelines/get-started/pipelines-get-started?view=azure-devops&tabs=yaml) and [variable groups](https://docs.microsoft.com/en-us/azure/devops/pipelines/library/variable-groups?view=azure-devops&tabs=yaml). Ability to install Azure DevOps extensions (unless the required [Synapse extension](https://marketplace.visualstudio.com/items?itemName=AzureSynapseWorkspace.synapsecicd-deploy) is already installed).
 
 #### Software pre-requisites if you don't use dev container<!-- omit in toc -->

e2e_samples/temperature_events/README.md

@@ -28,7 +28,7 @@ The sample demonstrates how Events can be processed in a streaming serverless pi
 - [Azure Function logic](#azure-function-logic)
   - [Device Filter](#device-filter)
   - [Temperature Filter](#temperature-filter)
-- [EventHub & Azure Function scaling](#eventhub--azure-function-scaling)
+- [EventHub \& Azure Function scaling](#eventhub--azure-function-scaling)
 - [Infrastructure as Code](#infrastructure-as-code)
   - [Modularize Terraform](#modularize-terraform)
   - [Isolation of Environment](#isolation-of-environment)
@@ -65,10 +65,10 @@ time | timestamp of value
 
 It makes use of the following azure services:
 
-- [Azure Event Hubs](https://azure.microsoft.com/en-us/services/event-hubs/)
+- [Azure Event Hubs](https://azure.microsoft.com/en-us/products/event-hubs/)
 - [Azure Functions](https://azure.microsoft.com/en-us/services/functions/)
 - [Azure IoT Device Telemetry Simulator](https://github.com/Azure-Samples/Iot-Telemetry-Simulator/)
-- [Azure DevOps](https://azure.microsoft.com/en-au/services/devops/)
+- [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)
 - [Terraform](https://www.terraform.io/)
 
@@ -90,7 +90,7 @@ There are 3 major steps to running the sample. Follow each sub-page in order:
   - [Github account](https://github.com/) [Optional]
   - [Azure Account](https://azure.microsoft.com/en-au/free/)
     - *Permissions needed*: ability to create and deploy to an azure [resource group](https://docs.microsoft.com/en-us/azure/azure-resource-manager/management/overview), a [service principal](https://docs.microsoft.com/en-us/azure/active-directory/develop/app-objects-and-service-principals), and grant the [collaborator role](https://docs.microsoft.com/en-us/azure/role-based-access-control/overview) to the service principal over the resource group.
-  - [Azure DevOps Project](https://azure.microsoft.com/en-us/services/devops/)
+  - [Azure DevOps Project](https://azure.microsoft.com/en-us/products/devops/)
     - *Permissions needed*: ability to create [service connections](https://docs.microsoft.com/en-us/azure/devops/pipelines/library/service-endpoints?view=azure-devops&tabs=yaml), [pipelines](https://docs.microsoft.com/en-us/azure/devops/pipelines/get-started/pipelines-get-started?view=azure-devops&tabs=yaml) and [variable groups](https://docs.microsoft.com/en-us/azure/devops/pipelines/library/variable-groups?view=azure-devops&tabs=yaml).
 - Software
   - [Azure CLI 2.18+](https://docs.microsoft.com/en-us/cli/azure/install-azure-cli?view=azure-cli-latest)
@@ -344,7 +344,7 @@ The load testing script allows you to quickly generate load against your infrast
 Getting started resources:
 
 - [Azure IoT Device Telemetry Simulator](https://github.com/Azure-Samples/Iot-Telemetry-Simulator/)
-- [Azure Well Architected Framework - Performance testing](https://docs.microsoft.com/en-us/azure/architecture/framework/scalability/performance-test)
+- [Azure Well Architected Framework - Performance testing](https://learn.microsoft.com/en-us/azure/well-architected/performance-efficiency/performance-test)
 - [Load test for real time data processing | by Masayuki Ota](https://masayukiota.medium.com/load-test-for-real-time-data-processing-30a256a994ce)
 
 ### Load testing architecture
@@ -354,7 +354,7 @@ The load testing can be invoked by the [IoTSimulator.ps1](./loadtesting/IoTSimul
 The script will orchestrate the test by automating these steps:
 
 - Create or use an existing Resource Group
-- Create an [Azure Container Instances](https://azure.microsoft.com/en-us/services/container-instances/) resource.
+- Create an [Azure Container Instances](https://azure.microsoft.com/en-us/products/container-instances/) resource.
 - Deploy the [Azure IoT Device Telemetry Simulator](https://github.com/Azure-Samples/Iot-Telemetry-Simulator/) container, and scale it to the number of instances passed in as a parameter.
 - Coordinate them to simulate the specified number of devices, and send a certain number of messages.
 - Wait for it to complete.