The following tools/services are used to design a data platform and are also illustrated in this repo
- Azure Data Explorer (for ingesting data, storage and analytics)
- Azure Data Lake Storage (for only storage)
- Azure Data Factory (for orchestration, a serverless ETL solution)
- Azure Monitor (real-time alerts, if things goes wrong)
- Azure Machine Learning (ML model management)
- Azure Purview (Metadata-as-a-Service, data dictionary)
- Azure Functions + Azure Cosmos DB (for sharing data via API)
- Azure Data Share (for sharing data as "Bulk Copy", directly form the storage layer)