Analytics

Now you can continuously monitor any Analytics query computed from your telemetry in Visual Studio Application Insights, and display the results on an Azure shared dashboard.

On June 28th, Microsoft will be hosting a joint webinar with Cloudera & Zoomdata to walk you through using data and insights to drive strategic business value.

Today, we are pleased to announce that Apache Spark v1.6.1 for Azure HDInsight is generally available. With GA, we are revealing improvements to the availability, scalability, and productivity of our managed Spark service.

Today we are pleased to announce the general availability of the integration between Azure Stream Analytics and Power BI.

A recent article and code sample I produced with Dinar Gainitdinov shows how to build a simple application to run some complex joins and queries then push the updated records to an Azure Event Hub.

We released a new Application Insights Labs SDK specifically for monitoring WCF applications. Although Application Insights SDK for .NET Web Applications already supports HTTP-based WCF applications, it has never been optimized for WCF specifics.

We are glad to announce the public release of new Azure Data Factory (ADF) Monitoring & Management App.

This week, Microsoft announced the public preview of a new and expanded Azure Data Lake making big data processing and analytics simpler and more accessible.

Microsoft just announced Azure Data Lake, a set of big data storage and analytics services including Azure HDInsight that enables developers, data scientists and analysts to perform all types of processing and analytics on data of any size or shape and across multiple platforms and

We are pleased to announce a new open-sourced Azure Storage data movement library for .NET (DML for short).

We are happy to announce the release of the Visual Studio extension for Azure Data Factory (ADF). With this release, customers can author and deploy data pipelines using the rich Visual Studio interface.

Today at Build, we announced the Azure Data Lake, Microsoft’s hyperscale repository for big data analytic workloads in the cloud. This offering is built for the cloud, compatible with HDFS, and has unbounded scale with massive throughput and enterprise-grade capabilities.