Controlling costs in Azure Data Explorer using down-sampling and aggregation
Azure Data Explorer (ADX) is an outstanding service for continuous ingestion and storage of high velocity telemetry data from cloud services and IoT devices.
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Get started quickly using templates in Azure Data Factory
Cloud data integration helps organizations integrate data of various forms and unify complex processes in a hybrid data environment. -
Azure IoT Hub Java SDK officially supports Android Things platform
Connectivity is often the first challenge in the Internet of Things (IoT) world, that’s why more than three years ago we released Azure IoT SDKs. -
Azure IoT Edge runtime available for Ubuntu virtual machines
Azure IoT Edge is a fully managed service that allows you to deploy Azure and third-party services—edge modules—to run directly on IoT devices, whether they are cloud-connected or offline. -
Azure.Source – Volume 69
Analytics in Azure is up to 14x faster and costs 94% less than other cloud providers; Announcing updates to 3 great Azure Data services; Azure Cost Management now GA for EA customers; and more. -
Actuating mobility in the enterprise with new Azure Maps services and SDKs
The mobility space is at the forefront of the most complex challenges faced by cities and urban areas today. -
Azure Stack IaaS – part one
When we discuss Azure Stack with customers, they see the value in Azure Stack providing cloud-native capabilities to their datacenters. -
Maximize throughput with repartitioning in Azure Stream Analytics
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. -
Benefits of using Azure API Management with microservices
The IT industry is experiencing a shift from monolithic applications to microservices-based architectures. -
Moving your Azure Virtual Machines has never been easier!
To meet customer demand, Azure is continuously expanding. -
Anomaly detection using built-in machine learning models in Azure Stream Analytics
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. -
Update 19.02 for Azure Sphere public preview now available
The Azure Sphere 19.02 release is available today.
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