Postagens de: Krishna Mamidipaka

New capabilities in Stream Analytics reduce development time for big data apps

terça-feira, 16 de julho de 2019

Azure Stream Analytics is a fully managed PaaS offering that enables real-time analytics and complex event processing on fast moving data streams. Thanks to zero-code integration with over 15 Azure services, developers and data engineers can easily build complex pipelines for hot-path analytics within a few minutes.

Principal Program Manager, Azure Stream Analytics

Updates to geospatial features in Azure Stream Analytics – Cloud and IoT edge

terça-feira, 2 de abril de 2019

Azure Stream Analytics is a fully managed PaaS service that helps you run real-time analytics and complex event processing logic on telemetry from devices and applications. Numerous built-in functions available in Stream Analytics helps users build real-time applications using simple SQL language with utmost ease.

Principal Program Manager, Azure Stream Analytics

Anomaly detection using built-in machine learning models in Azure Stream Analytics

quarta-feira, 13 de fevereiro de 2019

Built-in machine learning models for anomaly detection in Azure Stream Analytics significantly reduces the complexity and costs associated with building and training machine learning models. This feature is now available for public preview worldwide.

Principal Program Manager, Azure Stream Analytics