Azure-opdateringer
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RSS-feedapril 2024
.Net Standard user-defined functions for Azure Stream Analytics will be retired on 30 September 2024.
Fastsat udfasningsdato: oktober 01, 2024
.Net Standard user-defined functions for Azure Stream Analytics will be retired on 30 September 2024. After that date, it won’t be possible to use the feature. Please transition to JavaScript user-defined functions for Azure Stream Analytics.
marts 2024
Custom .net deserializer for Azure Stream Analytics will be retired on 30 September 2024
Fastsat udfasningsdato: oktober 01, 2024
Custom .net deserializer for Azure Stream Analytics will be retired on 30 September 2024. After that date, it won't be possible to use the feature. Please transition to a JSON, AVRO, or CSV built-in deserializer by that date.
januar 2024
Azure Stream Analytics No-code Editor: new features and improvements in Jan 2024
Enhancements and new features have been introduced to the Stream Analytics no-code editor, accessible through both the Azure Event Hubs portal and the Azure Stream Analytics portal. These updates aim to deliver a more intuitive and user-friendly experience for users.
november 2023
Public Preview: Kafka Input and Output with Azure Stream Analytics
Tilgængelighed af destination: Q4 2023
You can connect directly to Kafka to ingest from Kafka clusters or output data to Kafka clusters in your Azure Stream Analytics (ASA) job.
Public Preview Preview: Protocol Buffers (Protobuf) with Azure Stream Analytics
Tilgængelighed af destination: Q4 2023
You can ingest events in protobuf format into Azure Stream Analytics using a built-in deserializer.
juli 2023
Public preview: Stream Analytics No-Code Editor available in Azure Stream Analytics Portal
The no-code editor is now available in Azure Stream Analytics portal to enable building your Stream Analytics jobs effortlessly, no coding required.
maj 2023
Setting Up a CI/CD Pipeline with GitHub Actions for Stream Analytics Jobs
Are you using GitHub for managing your Stream Analytics project and looking to leverage GitHub's powerful CI/CD pipeline? Follow this comprehensive guide and learn to set up a CI/CD pipeline with GitHub Actions for your Stream Analytics jobs.
Generally Available: Exactly Once Delivery to ADLS Gen2 Output
Azure Stream Analytics supports for end-to-end exactly once semantics when writing to Azure Data Lake Storage Gen2.
Private Preview: Kafka Input and Output with Azure Stream Analytics
Tilgængelighed af destination: Q2 2023
You can connect directly to Kafka to ingest from Kafka clusters or output data to Kafka clusters in your Azure Stream Analytics (ASA) job.
Generally Available: Exactly Once Delivery to Event Hub Output
Stream Analytics now supports end-to-end exactly once semantics when writing to Event Hub output.
Public Preview: Azure Stream Analytics Schema Registry Integration
Azure Stream Analytics can now fetch schema from the Schema Registry and deserialize data from Event Hub inputs for Avro format.
april 2023
Forbind Azure Stream Analytics med Azure Data Explorer ved hjælp af administreret privat slutpunkt.
Tilgængelighed af destination: Q2 2023
Du kan forbinde dit Azure Stream Analytics-job med Azure Data Explorer/Kusto-klynger ved hjælp af administrerede private slutpunkter
Use Stream Analytics to process exported data from Application Insights
Tilgængelighed af destination: Q2 2023
Use Stream Analytics to process exported data from Application Insights
februar 2023
General availability: Stream Analytics no-code editor updates in Feb 2023
New features are now available in Stream Analytics no-code editor GA including Power BI output support, and data preview optimization. Power BI output feature enables you to build real-time dashboard in minutes and low-cost.
januar 2023
Public preview: Capture Event Hubs data with Stream Analytics no-code editor in Delta Lake format
Stream Analytics no-code editor now supports capturing Event Hubs data into ADLS gen2 with Delta Lake format.
december 2022
Generel tilgængelighed: Opdateringer til Stream Analytics uden kodeeditor i december 2022
Nye funktioner er nu tilgængelige i den generelt tilgængelige Stream Analytics-tjeneste uden kodeeditor, herunder understøttelse af indbyggede funktioner med flere parametre, understøttelse af Delta Lake-format i modtager af ADLS Gen2-output.
Public preview: Processor diagram in Physical Job Diagram for Stream Analytics job troubleshooting
The processor diagram in physical job diagram provides you further insights within the streaming nodes of your stream analytics jobs.
oktober 2022
General availability: Stream Analytics no-code editor in Event Hubs
Stream Analytics no-code editor enables you to develop a Stream Analytics job in minutes with drag and drop experience. Now, it is generally available with several new capabilities added.
Offentlig prøveversion: Præcis engangslevering til Azure Data Lake Storage Gen2
Stream Analytics understøtter nu komplet engangssemantik, når der skrives til Azure Data Lake Storage Gen2.
Offentligt tilgængelig: Azure Stream Analytics i ét nyt område
Azure Stream Analytics er en fuldt administreret analysetjeneste i realtid, der er designet til at hjælpe dig med at analysere og behandle hurtige datastrømme.
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