What are 7 layers in Azure Data Factory to do the pipelining to accept data from on-prem and to complete the process to push processed data to Azure Cloud

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The 7 layers in Azure Data Factory for pipelining data from on-premises to Azure Cloud

1. Ingestion Layer: Collects data from various sources such as on-premises databases, cloud storage, or IoT devices.
2. Storage Layer: Stores the ingested data in a data lake or data warehouse for processing.
3. Batch Layer: Processes data in batches using technologies like Azure Databricks or HDInsight.
4. Stream Layer: Processes real-time data streams using technologies like Azure Stream Analytics.
5. Transformation Layer: Transforms and enriches the data using tools like Azure Data Lake Analytics or Azure Functions.
6. Model Layer: Builds machine learning models to derive insights from the processed data.
7. Serving Layer: Deploys the processed data to Azure Cloud services for consumption.

What are 7 layers in Azure Data Factory to do the pipelining to accept data from on-prem and to complete the process to push processed data to Azure Cloud

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