Azure Stream Analytics No Code Editor Now Available

Microsoft has just released the Azure Stream Analytics no code editor. As its name suggests, the tool offers a drag-and-drop canvas streaming data without having to write code.

Streaming data is data that is continuously generated from multiple sources, and which are typically send simultaneously and in small blocks – think multi-user games, IoT telemetry or e-commerce purchases.

Drag-and-drop analytics

The Stream Analytics no code editor is hosted in Microsoft Azure Event Hubs, a cloud-based big-data streaming platform and event ingestion service. With its drag-and-drop interface, users can quickly create analytics jobs without writing any code.

Some of the tasks that the drag-and-drop interface support: filtering or ingesting data to Azure Synapse SQL service, put data into Apache Parquet tabular form, dumping it into a data lake, or inserting it into an Azure Cosmo DB.

For the uninitiated, a Stream Analytics job is built on three main components: streaming inputs, transformations, and outputs. As many components as users want can be added, including multiple inputs, parallel branches with multiple transformations, or even multiple outputs.

Crucially, Stream Analytics jobs, once created and run can be easily operationalized for production workloads.

A public preview of Stream Analytics no code editor was released earlier this year; the GA release adds new capabilities such as support for additional outputs (Event Hubs and Azure Data Explorer), support for additional built-in functions, and new scenario templates under Event Hubs.

In a blog post earlier this year, the Azure Engineering team explained the benefit of the no code editor: “This new service essentially gives you a canvas to view all your incoming data streams and then transform them in any way you need before you write it to your destination of choice — all in a no-code way.”

Users can leverage the deep knowledge that Azure’s data experts to manage the data with Azure Stream Analytics no code editor, wrote the Azure Engineering team. Freeing users from the syntax of devising the correct data query and transform operations means they can now spend more of their time working on value-adding issues such as “the best way to shape their data”.

For detailed examples and instructions about what is possible, read the “No-code stream processing through Azure Stream Analytics” documentation at Microsoft here.

Image credit: iStockphoto/marchmeena29


Read More: Azure Stream Analytics No Code Editor Now Available

2022-11-01 07:07:21

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