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Run Azure Arc enabled data services on premises on any infrastructure of your choice with Azure cloud benefits like elastic scale, unified management, and a cloud billing model while staying always current.
Public preview of Azure Arc enabled SQL Server extends power of Azure to SQL servers hosted on-premises or in other public clouds.
You can reduce cost, drive innovation, and improve operational efficiencies by using Azure SQL Edge to stream, store, and analyze IoT data.
Azure SQL Edge meets the demands of IoT edge data and compute with built-in streaming, storage, and AI—all backed by the industry-leading performance and security of SQL.
These are the new features, fixes, and connectors for Azure Logic Apps that were released in November and December of 2019.
Features include: Model Interpretability - Machine learning interpretability allows data scientists to explain machine learning models globally on all data, or locally on a specific data point using the state-of-art technologies in an easy-to-use and scalable fashion. Machine Learning interpretability incorporates technologies developed by Microsoft and proven third-party libraries (for example, SHAP and LIME).
Azure SQL Database Edge is a small footprint database engine with built-in AI that is optimized for the intelligent edge . This new product combines data streaming and time series with in-database machine learning and graph to unlock intelligence on the edge with a simplified architecture. <br> <a href="https://aka.ms/Build2019_IntelligentEdge" data-event="area-build-announcements-clicked-announcement">Read blog</a>
Apache Spark is now accessible to the .NET developer ecosystem with .NET for Apache Spark.
April updates for Stream Analytics tools for Visual Studio is now available. The update includes enhancement for local testing and enables several new features:
Azure is now the first major public cloud with end-to-end security for IoT for your devices, hubs and cloud resources. We are adding advanced threat protection for IoT to three key services: Azure Security Center, Azure Sentinel and Azure IoT Hub.
C# user-defined functions (UDF) support for Azure Stream Analytics on IoT Edge is now available in preview.
ExpressRoute Direct allows customers to use the functionality of ExpressRoute and connect directly to the global Microsoft backbone at 100 Gbps. This enables customers who have scenarios like massive data ingestion to storage, physical isolation, dedicated capacity, and burst capacity to take advantage of Microsoft’s global backbone to access Azure regions at tremendous scale. This is backed with the enterprise-grade 99.95 percent SLA for port pair availability.
The February update for Azure IoT Edge contains improvements to the runtime, documentation, and tooling.
Azure SQL Database now offers fully integrated graph extensions, so users will be able to define graph schema with graph objects.
Azure Stream Analytics on edge devices will extend all the benefits of our unique streaming technology from the cloud down to devices. With Stream Analytics on edge devices, we'll offer the power of our Complex Event Processing (CEP) solution on edge devices to easily develop and run real-time analytics on multiple streams of data.
Azure IoT Edge, a fully managed service that delivers cloud intelligence locally by deploying and running artificial intelligence (AI), Azure services, and custom logic directly on cross-platform IoT devices, is now generally available.
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