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Merge pull request #23 from MicrosoftCloudEssentials-LearningHub/upgrade-pipelines-counter-logic
Upgrade pipelines for counter logic
2 parents 9a0ccb5 + e9f6a9c commit 356615d

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‎.github/workflows/update-md-date.yml‎

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permissions:
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contents: write
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pull-requests: write
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jobs:
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update-date:
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run: python .github/workflows/update_date.py
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- name: Commit changes
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env:
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TOKEN: ${{ secrets.GITHUB_TOKEN }}
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run: |
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git fetch origin ${{ github.event.pull_request.head.ref }}
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git pull --rebase origin ${{ github.event.pull_request.head.ref }} || echo "No rebase needed"
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git add -A
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git commit -m "Update last modified date in Markdown files" || echo "No changes to commit"
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git remote set-url origin https://x-access-token:${TOKEN}@github.com/${{ github.repository }}
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git push origin HEAD:${{ github.event.pull_request.head.ref }}

‎.github/workflows/validate_and_fix_markdown.yml‎

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pull-requests: write
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jobs:
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validate-and-fix-markdown:
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run: npm install -g markdownlint-cli
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- name: Lint and Fix Markdown files
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run: markdownlint '**/*.md' --fix --config .github/.markdownlint.json
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run: markdownlint '**/*.md' --fix --config .github/.markdownlint.json
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- name: Configure Git
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run: |
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git config --global user.email "github-actions[bot]@users.noreply.github.com"
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git config --global user.name "github-actions[bot]"
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- name: Commit changes
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- name: Commit and rebase changes
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env:
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PR_BRANCH: ${{ github.head_ref || github.ref_name }}
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run: |
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git fetch origin
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git checkout -b ${{ github.event.pull_request.head.ref }} origin/${{ github.event.pull_request.head.ref }}
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git add -A
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git commit -m "Fix Markdown syntax issues" || echo "No changes to commit"
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git pull --rebase origin ${{ github.event.pull_request.head.ref }} || echo "No rebase needed"
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git push origin HEAD:${{ github.event.pull_request.head.ref }}
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git pull --rebase origin "$PR_BRANCH" || echo "No rebase needed"
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git push origin HEAD:"$PR_BRANCH"

‎Workloads-Specific/DataScience/AI_integration/README.md‎

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[![GitHub](https://img.shields.io/badge/--181717?logo=github&logoColor=ffffff)](https://github.com/)
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[brown9804](https://github.com/brown9804)
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Last updated: 2025-04-21
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Last updated: 2025-07-17
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### Configure Azure OpenAI Service
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> [!NOTE]
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> Click [here](./src/fabric-llms-overview_sample.ipynb) to see all notebook
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> Click [here to see all notebook](./src/fabric-llms-overview_sample.ipynb)
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1. **Set Up API Keys**: Ensure you have the API key and endpoint URL for your deployed model. Set these as environment variables
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‎Workloads-Specific/DataWarehouse/BestPractices.md‎

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[![GitHub](https://img.shields.io/badge/--181717?logo=github&logoColor=ffffff)](https://github.com/)
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[brown9804](https://github.com/brown9804)
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Last updated: 2025-05-03
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Last updated: 2025-07-17
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## Using Mirroring to Your Benefit
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> Mirroring offers a modern, efficient way to continuously and seamlessly access and ingest data from operational databases or data warehouses. It works by replicating a snapshot of the source database into OneLake, and then keeping that replica in near real-time sync with the original. This ensures that your data is always up to date and readily available for analytics or downstream processing. `As part of the value offering, each Fabric compute SKU includes a built-in allowance of free Mirroring storage, proportional to the compute capacity you provision. For example, provisioning an F64 SKU grants you 64 terabytes of free Mirroring storage. You only begin incurring OneLake storage charges if your mirrored data exceeds this free limit or if the compute capacity is paused.` Click [here](https://azure.microsoft.com/en-us/pricing/details/microsoft-fabric/?msockid=38ec3806873362243e122ce086486339) to read more about it.
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> Mirroring offers a modern, efficient way to continuously and seamlessly access and ingest data from operational databases or data warehouses. It works by replicating a snapshot of the source database into OneLake, and then keeping that replica in near real-time sync with the original. This ensures that your data is always up to date and readily available for analytics or downstream processing. `As part of the value offering, each Fabric compute SKU includes a built-in allowance of free Mirroring storage, proportional to the compute capacity you provision. For example, provisioning an F64 SKU grants you 64 terabytes of free Mirroring storage. You only begin incurring OneLake storage charges if your mirrored data exceeds this free limit or if the compute capacity is paused.` Click [here to read more about it](https://azure.microsoft.com/en-us/pricing/details/microsoft-fabric/?msockid=38ec3806873362243e122ce086486339)
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<div align="center">
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<img src="https://github.com/user-attachments/assets/ed868665-1823-42ff-9cd7-d0ee3310c184" alt="Centered Image" style="border: 2px solid #4CAF50; border-radius: 5px; padding: 5px;"/>

‎Workloads-Specific/DataWarehouse/Medallion_Architecture/README.md‎

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> This demo will be created step by step. Please note that Microsoft Fabric already assists by setting up the medallion flow for you.
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> [!IMPORTANT]
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> If you are not able to see the `auto-create report` option neither `copilot` be aware you need to enable AI features in your tenant, click [here](https://github.com/brown9804/MicrosoftCloudEssentialsHub/blob/main/0_Azure/2_AzureAnalytics/0_Fabric/demos/6_PBiCopilot.md#tenant-configuration) to see how.
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> If you are not able to see the `auto-create report` option neither `copilot` be aware you need to enable AI features in your tenant, click [here to see how](https://github.com/brown9804/MicrosoftCloudEssentialsHub/blob/main/0_Azure/2_AzureAnalytics/0_Fabric/demos/6_PBiCopilot.md#tenant-configuration)
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/7eec0098-7b7b-453c-9dbb-ee1a6390577b">
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> If you want see more, click [here](./src/0_notebook_bronze_to_silver.ipynb) to see a sample of the notebook.
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> If you want see more, click [here to see a sample of the notebook](./src/0_notebook_bronze_to_silver.ipynb)
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<img width="170" alt="image" src="https://github.com/user-attachments/assets/759d1c7a-9d2d-404c-99e4-de068399ed4a">
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> Applying some transformations: If you want see more, click [here](./src/1_notebook_silver_to_gold.ipynb) to see a sample of the notebook.
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> Applying some transformations: If you want see more, click [here to see a sample of the notebook](./src/1_notebook_silver_to_gold.ipynb)
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> **PySpark Code to Move Data from Silver to Gold**:
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