ASA Inputs & Outputs

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Note: Azure Table and Queue Storage support NoSQL and message handling for scalable cloud apps

ASA Inputs & Outputs

 ASA (Azure Stream Analytics) Inputs & Outputs define how data flows through a Stream Analytics job. Inputs bring data into the system, and outputs send the processed results to external systems or storage.

Inputs:

ASA supports three types of inputs:

Stream Input – Continuous data flow from:

Azure Event Hubs (high-throughput streaming)

Azure IoT Hub (IoT device data)

Azure Blob Storage (streaming CSV/JSON files)

Reference Input – Static or slowly changing data (like a lookup table) from:

Azure Blob Storage

Inline Input – Used for testing with static data directly inside the job.

Each input must have a defined data format (JSON, CSV, AVRO) and serialization settings.

Outputs:

After processing, ASA can write results to various sinks, including:

Azure SQL Database

Azure Synapse Analytics

Azure Blob Storage

Azure Data Lake Storage

Power BI (for real-time dashboards)

Service Bus / Event Hubs (for messaging and downstream processing)

Azure Cosmos DB

Outputs can be append-only or overwrite, depending on the sink.

Summary:

ASA Inputs fetch real-time or static data, process it using queries, and send it to outputs for storage, visualization, or further analysis—enabling real-time decision-making.

Read More

 Azure Stream Analytics (ASA)

Azure IoT Hub Basics

AzureEvent Hubs

Real-Time Data & Streaming

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