How would you do the real time data load in Azure.

To load data into an Azure data warehouse in real time, you can leverage various Azure services. Here are the key services and how they can be used:

1. Ingest Data: Use Azure Event Hubs to ingest data from various sources in real-time.

2. Stream Processing: Process the data using Azure Stream Analytics. Set up a Stream Analytics job that reads from Event Hubs and performs any necessary transformations.

3. Data Transformation: Use Azure Data Factory or Azure Databricks for complex transformations if needed.

4. Loading the Data: Output the processed data from Stream Analytics directly to Azure Synapse Analytics. Alternatively, use Azure Data Factory for orchestrating data movement and loading it into the data warehouse.

5. Trigger-based Processing: Use Azure Functions for lightweight processing tasks triggered by events in Event Hubs or other sources.

6. Workflow Automation: Implement Azure Logic Apps to automate the entire workflow and ensure seamless data flow.

By combining above services, you can build a robust real-time data loading pipeline into Azure.