Azure Stream Analytics

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

Dienstag, 16. Juli 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 Big Data

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

Dienstag, 2. April 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 Big Data

Azure Stream Analytics now supports Azure SQL Database as reference data input

Montag, 4. Februar 2019

Our goal in the Azure Stream Analytics team is to empower developers and make it incredibly easy to leverage the power of Azure to analyze big data in real-time. We achieve this by continuously listening for feedback from our customers and ship features that are delightful to use and serve as a tool for tackling complex analytics scenarios.

Program Manager, Azure Big Data

Azure Stream Analytics auf IoT Edge jetzt allgemein verfügbar

Dienstag, 4. Dezember 2018

Heute geben wir die allgemeine Verfügbarkeit von Azure Stream Analytics (ASA) auf IoT Edge bekannt, mit dem Entwickler Analyseinformationen nahezu in Echtzeit und näher an den IoT-Geräten bereitstellen und somit die von den Geräten generierten Daten optimal nutzen können.

Principal Program Manager Lead, Azure Stream Analytics

New metric in Azure Stream Analytics tracks latency of your streaming pipeline

Montag, 15. Oktober 2018

Azure Stream Analytics is a fully managed service for real-time data processing. Stream Analytics jobs read data from input sources like Azure Event Hubs or IoT Hub. They can perform a variety of tasks from simple ETL and archiving to complex event pattern detection and machine learning scoring.

Principal Software Engineering Manager, Azure Stream Analytics