The following accelerator can be used to deploy Azure Databricks, Azure Data Factory, Azure Data Lake Storage, and Azure SQL Database into an Azure Resource Groups It will allow you to explore some of the Data Integration, Data Lake, and Data Lakehouse capabilities available on Microsoft Azure.
The purpose of this Analytics Accelerator is to help you learn and grow through Hands-on common use cases that show you how to use things like ADF pipelines, Databricks notebooks, and SQL scripts.
This GitHub Repository along with an Azure Subscription No Azure Subscription click here should allow you to accelerate:
- Business Value
- Time-to-insight
- Modernization
- Skilling
- Proof of Concepts
- Architecture choice
- Infrastructure as code for PoC, Dev, Test, Prod
| Deployment | Use Case Name | Use Case Type | Dataset | Description | Code | Instruction Steps |
|---|---|---|---|---|---|---|
| Azure Data Factory, Azure Databricks, and Azure SQL Database | Change Data Capture | Azure Databricks, ADF, Azure SQL DB | AdventureworksLT | Change Data Capture using ADF and Databricks Autoloader | Code | Steps |
- Owner to the Azure Subscription being deployed. This is for creation of a separate Analytics Accelerator Resource Group and to delegate roles necessary for this deployment.
Together with Azure Databricks, Azure Data Lake Storage Gen2, Azure Data Factory, and Azure SQL Database
This template deploys the following:
- Azure Databricks Workspace
- Azure Data Lake Storage Gen2
- Azure Data Factory
- Azure SQL Database