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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

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

segunda-feira, 4 de fevereiro de 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

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

segunda-feira, 15 de outubro de 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