Data professionals

Actuating Mobility in the Enterprise with New Azure Maps Services and SDKs; Under the hood: Performance, scale, security for cloud analytics with ADLS Gen2; Moving your Azure Virtual Machines has never been easier; and more!

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.

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.

This blog is a continuation of a series of blog posts to share best practices for improving performance and scale when using Azure Database for PostgreSQL service.

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.

With Azure DevOps Projects we want to make it is easy for you to set up a fully functional DevOps pipeline tailored to the development language and application platform you want to leverage.