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The setup you have proposed is a good start for a modern architecture for small/medium businesses. However, there are a few additional considerations you may want to take into account:
Data ingestion: Consider using Azure Data Factory to orchestrate your data ingestion workflows. This can help you automate and manage your data pipelines more effectively, and can also provide more flexibility in terms of data sources and destinations.
Data storage: Consider using Azure Synapse Analytics as your data warehouse solution. This can provide a more scalable and performant solution for storing and processing large volumes of data.
Data processing: Consider using Azure Databricks for your data processing needs. This can provide a more scalable and efficient solution for processing large volumes of data, and can also integrate with other Azure services such as Azure Data Factory and Azure Synapse Analytics.
Data visualization: Consider using Power BI for your data visualization needs. Power BI can provide a more flexible and customizable solution for creating reports and dashboards, and can also integrate with other Azure services such as Azure Synapse Analytics and Azure Databricks.
Overall, the key to a modern architecture for small/medium businesses is to leverage cloud-based services that can provide scalability, flexibility, and performance. By using Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Power BI, you can create a more efficient and effective solution for your data processing and reporting needs.
The proposed setup you've outlined is a modern and scalable architecture that leverages Azure's big data and analytics services. Here's a breakdown of the benefits and some additional considerations:
Benefits of Your Proposed Setup:
- SFTP to ADLS Gen 2: Directly ingesting data into Azure Data Lake Storage Gen2 simplifies the architecture and reduces the need for an intermediate Azure VM.
- Azure Databricks: Utilizing Databricks for daily data ingestion and transformation offers a robust and scalable solution that can handle increasing data volumes efficiently.
- Power BI Dataflow: Creating a dataflow in Power BI allows for data to be prepared and transformed before it reaches the semantic model, improving performance.
- Semantic Model: Building a semantic model based on the dataflow ensures that the data is in an optimal format for reporting and analysis.
- Reports on Semantic Model: Generating reports based on the semantic model will likely be faster and more efficient, as the data has already been processed and structured appropriately.
Additional Considerations:
- Data Volume and Velocity: As the data volume grows, ensure that the architecture can scale accordingly. Azure Databricks is designed for scalability, but monitoring and adjustments may be necessary.
- Data Refresh Scheduling: With the automatic refresh, consider the timing and frequency to balance the load and ensure the most up-to-date data is available for reports.
- Cost Management: Keep an eye on the costs associated with the services used, especially with Azure Databricks, which can be more expensive. Optimize the use of resources where possible.
From the Web:
- The Azure Architecture Center provides a guide on modern data warehouse architecture for small and medium businesses, which includes using Azure Synapse Analytics, Azure SQL Database, and Azure Data Lake Storage. It suggests a hybrid approach that combines easy migration with the opportunity to add big data tools and processes for some use cases 1.
In conclusion, your proposed setup is well-aligned with modern data architecture practices. It's recommended to review the resources provided, consider the additional points mentioned, and adjust the architecture as needed to ensure it meets the growing demands of your business.
Regarding the Cost/Billing I would recommened to contact : Billing and Subscription team would be the best to provide more insight and guidance on this scenario: https://azure.microsoft.com/en-us/support/options/
Please let us know if you have any further queries. I’m happy to assist you further.
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