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Process Real-Time Data Streams in Minutes using Azure Stream Analytics' No-Code Editor Experience
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Process real-time data streams without writing a single line of code using Azure Stream Analytics' no-code editor. The no-code editor capability allows you to develop a Stream Analytics job in minutes, tackling many common scenarios with several clicks, including:
- Build real-time dashboard with Power BI dataset
- Capture data from Event Hubs in Delta Lake format (preview)
- Filtering and ingesting to Azure Synapse SQL
- Capturing your Event Hubs data in Parquet format in Azure Data Lake Storage Gen2
- Materializing data in Azure Cosmos DB
- Filter and ingest to Azure Data Lake Storage Gen2
- Enrich data and ingest to event hub
- Transform and store data to Azure SQL database
- Filter and ingest to Azure Data Explorer
- Build real-time dashboard with Power BI dataset
- Capture data from Event Hubs in Delta Lake format (preview)
- Filtering and ingesting to Azure Synapse SQL
- Capturing your Event Hubs data in Parquet format in Azure Data Lake Storage Gen2
- Materializing data in Azure Cosmos DB
- Filter and ingest to Azure Data Lake Storage Gen2
- Enrich data and ingest to event hub
- Transform and store data to Azure SQL database
- Filter and ingest to Azure Data Explorer
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Process Real-Time Data Streams in Minutes using Azure Stream Analytics' No-Code Editor Experien...
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