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Krishna Mamidipaka

Principal Program Manager, Azure Stream Analytics

Latest posts

Showing 1 – 10 of 13 posts found

New in Stream Analytics: Machine Learning, online scaling, custom code, and more 

Azure Stream Analytics is a fully managed Platform as a Service (PaaS) that supports thousands of mission-critical customer applications powered by real-time insights.

Published • 3 min read

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

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.

Published • 2 min read

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

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.

Published • 2 min read

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

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.

Published • 2 min read

New in Stream Analytics: General availability of sub-streams, query compatibility, and more 

Today, we are excited to announce the general availability of several features in Azure Stream Analytics. These features are designed to help address a variety of scenarios for both enterprise and non-enterprise customers alike.

Published • 3 min read

Neu in Stream Analytics: Ausgabe in Azure Functions, integrierte Anomalieerkennung u.a. 

Wir freuen uns, heute auf der Microsoft Ignite eine Vorschauversion verschiedener neuer nützlicher Funktionen in Azure Stream Analytics bekannt geben zu können. Dazu gehören integrierte auf maschinellem Lernen basierende Anomalieerkennung …