Stream Analytics now is available on Azure Stack Hub as an IoT Edge module, supporting native input and output adapters, such as Event Hub and IoT Hub. It allows customer to build truly hybrid data solutions.
Enable effortless discovery of trustworthy, valuable data with an Azure Purview powered search within Synapse Studio.
Azure Synapse Pathway is a point-and-click solution that simplifies and accelerates migration for both on-premises and cloud data warehouses to Azure Synapse Analytics.
General availability: Data flows in Azure Data Factory and Azure Synapse now support Reserved Instances
Azure Data Factory (ADF) and Azure Synapse Analytics (Synapse) now offer discounted pricing on data flows based on 1-year and 3-year reservations.
Azure Stream Analytics now supports managed identity for Blob input, Event Hubs (input and output), Synapse SQL Pools and customer storage account. As a result, customers do not have to manage service-to-service credentials by themselves, and can process events when streams of data are coming from Event Hubs in a VNet or using a firewall.
You can now share structured data stored in relational databases and data warehouse easily and securely between internal departments, with external partners, vendors or customers for collaboration.
Serverless SQL pool released a new version of SSMS and ADS which improves scripting in object explorer and increases stability.
You can now use Azure Synapse Workspace to access your data in Azure Data Explorer using Apache Spark pool
Azure Synapse Link now offers preview support for querying Azure Cosmos DB data with Synapse SQL serverless.
We are introducing a guided UI experience in the Synapse Studio that enables users to deploy machine learning models from the Azure Machine Learning model registry directly to Azure Synapse for inferencing.
New Common Data Model connector for Apache Spark in Azure Synapse Analytics & Azure Databricks (in preview)
This new Spark CDM connector requires zero configuration and is pre-installed with Azure Synapse Analytics. It can also be installed and used with Azure Databricks.
Azure Synapse Analytics already provides a breadth of options that can be used to handle sensitive data in a secure manner—we are expanding that support with the introduction of Column Level Encryption (CLE).
The COPY command can now automatically parse your files to calculate file splits and can evenly distribute data chunks across the Synapse SQL compute nodes for parallel ingestion.
Users can now synchronize two tables in a single step, streamlining the data processing using a single step statement while improving code readability and debugging.
With a brand new output connector to Synapse SQL Pools, Stream Analytics can now support throughput rates even higher than 200MB/sec while ensuring ultra-low latencies.
Optimize performance on caching and shuffle with new services from Apache Spark for Azure Synapse
Run analytical T-SQL queries and build near-real time Power BI dashboards over Azure Cosmos DB data.
Azure Synapse SQL on-demand is now enforcing TLS 1.2 for outbound connections used by all SQL client applications.
Azure 串流分析作業現在可以輸出到 Azure Synapse Analytics 中的現有 SQL 集區資料表，並處理高達 200 MB/秒的輸送量速率。
Azure 串流分析作業現在可以輸出到 Azure Synapse Analytics 中的現有 SQL 集區資料表，並處理高達 200 Mbps 的輸送量速率。