Dienstag, 17. Dezember 2019
Die Verarbeitung von Big Data in Echtzeit ist für den Betrieb vieler Unternehmen erforderlich. Azure Stream Analytics ist das serverlose Echtzeitanalyseangebot von Microsoft für die Verarbeitung komplexer Ereignisse.
Dienstag, 29. Oktober 2019
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.
Donnerstag, 8. August 2019
MATCH_RECOGNIZE in Azure Stream Analytics significantly reduces the complexity and cost associated with building, modifying, and maintaining queries that match sequence of events for alerts or further data computation.
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.
Mittwoch, 24. April 2019
Azure Stream Analytics tools for Visual Studio make it easier for you to develop, manage, and test Stream Analytics jobs. This year we provided two major updates in January and March unleashing new…
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.
Mittwoch, 13. Februar 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.
Dienstag, 12. Februar 2019
Customers love Azure Stream Analytics for its ease of analyzing streams of data in movement, with the ability to set up a running pipeline within five minutes. Optimizing throughput has always been a challenge when trying to achieve high performance in a scenario that can't be fully parallelized.
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.
Montag, 28. Januar 2019
Do you know how to develop and source control your Microsoft Azure Stream Analytics (ASA) jobs? Do you know how to setup automated processes to build, test, and deploy these jobs to multiple environments?