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RSS-feedmars 2024
Custom .net deserializer for Azure Stream Analytics will be retired on 30 September 2024
Målavgangsdato: 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
Måltilgjengelighet: 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
Måltilgjengelighet: 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.
mai 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
Måltilgjengelighet: 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
Koble Azure Stream Analytics til Azure Data Explorer ved å bruke administrert privat endepunkt.
Måltilgjengelighet: Q2 2023
Du kan koble Azure Stream Analytics-jobben din til Azure Data Explorer / Kusto-klynger ved å bruke administrerte private endepunkter
Use Stream Analytics to process exported data from Application Insights
Måltilgjengelighet: 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.
desember 2022
Allmenn tilgjengelighet: Oppdateringer av Stream Analytics redigeringsprogram uten kode i desember 2022
Nye funksjoner er nå tilgjengelige i det allment tilgjengelige Stream Analytics redigeringsprogrammet uten kode. Dette inkluderer støtte for flere parameterinnebygde funksjoner, Delta Lake-formatstøtte i ADLS Gen2-utdatamottaker.
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 forhåndsversjon: Levering nøyaktig én gang for Azure Data Lake Storage Gen2
Stream Analytics støtter nå ende-til-ende nøyaktig én gang-semantikk ved skriving til Azure Data Lake Storage Gen2.
Generelt tilgjengelig: Azure Stream Analytics i ett nytt område
Azure Stream Analytics er en totaladministrert sanntidsanalysetjeneste designet for å hjelpe deg med å analysere og behandle raskt bevegelige datastrømmer.
Offentlig forhåndsversjon: Jobbdiagramsimulator i VS-kode
Jobbdiagramsimulatoren gjør det mulig å visualisere Stream Analytics-jobbens topologi og hjelpe deg med å forbedre spørringens parallellitet mens du utvikler strømmesøket.
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