Microsoft is extending its Azure Stream Analytics tool set with anomaly detection capabilities, powered by Machine Learning. For those curious to try, it is available now in private preview.

During the Ignite Conference, Microsoft released Azure Stream Analytics no-code editor, a drag-and-drop canvas for developing jobs for stream processing scenarios such as streaming ETL, ingestion ...

A new integration allows customers to create real-time dashboards based on Internet of things data from their Azure Stream Analytics.

A lot of the data is ingested via Azure Event Hubs and Stream Analytics, then landed in Azure Blob storage, where it can be processed in different ways.

Microsoft announced the preview release of Azure Purview, a new data governance solution, as well as the 'general availability' commercial release of Azure Synapse Analytics and Azure Synapse Studio.