Business decision makers

On February 7, 2019 we announced the general availability of Azure Data Lake Storage (ADLS) Gen2.

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. This feature is now available for public preview worldwide.

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.

The IT industry is experiencing a shift from monolithic applications to microservices-based architectures.

Azure Data Explorer (ADX) is an outstanding service for continuous ingestion and storage of high velocity telemetry data from cloud services and IoT devices.

Cloud data integration helps organizations integrate data of various forms and unify complex processes in a hybrid data environment. A number of times different organizations have similar data integration needs and require repeat business processes.

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.

It’s true. With the volume and complexity of data rapidly increasing, performance and security are critical requirements for analytics. But not all analytics services are built equal. And not all cloud storage is built for analytics.

Today, we’re releasing the Azure API for FHIR which enables rapid exchange of data according to the HL7 FHIR specification and is backed by a fully managed Platform-as-a Service (PaaS) offering in the cloud.

As Julia White mentioned in her blog today, we’re pleased to announce the general availability of Azure Data Lake Storage Gen2 and Azure Data Explorer. We also announced the preview of Azure Data Factory Mapping Data Flow.

Azure Monitor provides sophisticated tools for collecting and analyzing telemetry that allow you to maximize the performance and availability of your cloud while also maximizing on-premises resources and applications.

We are now excited to announce the general availability (GA) of Azure Cost Management experience that helps organizations visualize, manage, and optimize costs across Azure.