From 9198cf93cfffac91d563c1be1c5c2facacedd955 Mon Sep 17 00:00:00 2001
From: jebba <jeb@rev-x.com>
Date: Fri, 17 Apr 2026 18:57:28 +0000
Subject: [PATCH] Update README.md

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-# D2L-datahub-tablecreatesql
+# D2L Brightspace DataHub SQL Schema
 
-SQL Files needed for MySQL/MariaDB to create datahub tables
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+This repository contains SQL DDL (Data Definition Language) scripts to create local database tables that mirror the **D2L Brightspace DataHub (BDS)** Data Sets. These scripts are designed to facilitate ETL processes, allowing institutions to store, query, and analyze Brightspace data in a relational environment.
+
+## 📌 Overview
+
+D2L DataHub provides bulk data exports (CSVs) for various LMS activities. This project provides the structured schema required to host that data in a local SQL database (PostgreSQL, MySQL, or SQL Server), ensuring data integrity and optimized query performance.
+
+## 📂 Repository Structure
+
+The scripts are organized by functional domain to match the Brightspace Data Sets:
+
+* **`users/`**: Schema for user profiles, logins, and roles.
+* **`org_structure/`**: Tables for Org Units, Course Offerings, Templates, and Semesters.
+* **`enrollments/`**: Tracking user enrollments across course sections.
+* **`grades/`**: Grade objects, results, schemes, and category details.
+* **`content/`**: Course content structure and user progress tracking.
+* **`quizzes/`**: Comprehensive quiz data, including attempts and question-level responses.
+* **`assignments/`**: Assignment folders, submissions, and feedback.
+
+## 🚀 Getting Started
+
+### Prerequisites
+
+- A running SQL database instance (MySQL 8.0+, PostgreSQL 13+, or SQL Server 2019+).
+- Access to D2L Brightspace DataHub to download the `.csv` (or `.zip`) data sets.
+
+### Installation
+
+1.  **Clone the repository:**
+    ```bash
+    git clone https://github.com/your-repo/d2l-datahub-sql.git
+    cd d2l-datahub-sql
+    ```
+
+2.  **Execute the Schema Scripts:**
+    You can run the full setup or individual files depending on your needs.
+    ```sql
+    -- Example for PostgreSQL
+    \i core/create_all_tables.sql
+    ```
+
+## 🛠 ETL Workflow Recommendation
+
+To keep your local data warehouse synchronized with Brightspace:
+
+1.  **Extract:** Download the latest Differential or Full Data Sets from DataHub.
+2.  **Stage:** Load the raw CSV data into a staging schema (e.g., `stg_bds`).
+3.  **Transform/Load:** Use an UPSERT logic to move data from staging into the tables created by this repository, handling `IsDeleted` flags and updated timestamps.
+
+## 📊 Schema Standards
+
+- **Primary Keys:** Defined based on D2L's unique identifiers (e.g., `UserId`, `OrgUnitId`).
+- **Data Types:** Mapped to handle large scale data (e.g., `BIGINT` for IDs, `TEXT` for long strings, and `TIMESTAMP` for dates).
+- **Indexing:** Essential foreign keys are indexed by default to optimize joins across the LMS schema.
+
+## 🤝 Contributing
+
+If you encounter missing fields from newer DataHub versions or want to contribute optimizations for a specific SQL dialect:
+
+1.  Fork the Project.
+2.  Create your Feature Branch (`git checkout -b feature/NewDataSet`).
+3.  Commit your Changes (`git commit -m 'Add UserAttribute data set'`).
+4.  Push to the Branch (`git push origin feature/NewDataSet`).
+5.  Open a Pull Request.
+
+---
+*Disclaimer: This project is not officially affiliated with D2L Corporation. Please refer to the [Brightspace DataHub Documentation](https://community.d2l.com/brightspace/kb/articles/4518-about-brightspace-data-sets) for the most up-to-date field specifications.*
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