Thursday, August 17, 2017
This combined offering of Imanis Data on Azure HDInsight and deep integration with Azure Blob Storage and Data Lake Store enables customers to migrate to cloud faster, protect critical data assets from application or human error.
Tuesday, August 15, 2017
Today we are announcing the release of several updates to Time Series Insights based on customer feedback. Time Series Insights is a fully-managed analytics, storage, and visualization service that makes it simple to explore and analyze billions of IoT events simultaneously.
Thursday, August 10, 2017
This blog contains Data Management Gateway - 'High Availability and Scalability'preview annoucement.
Monday, August 7, 2017
Kyligence Analytics Platform is a leading big data intelligence platform powered by Apache Kylin. It enables interactive analytics with sub-second query latency, even on massive data-set. We are happy to announce that the Kyligence team and Azure HDInsight team have worked closely with each other to bring OLAP capabilities to HDInsight, and KAP is now available on Azure HDInsight as an HDInsight application.
Monday, July 24, 2017
This is to update that HDInsight Tools June release has been released! In this release, you can choose SBT as build tool in addition to Maven when creating Spark project in IntelliJ. Spark job view…
Monday, July 24, 2017
Serverless is all the rage, now you can get in on the action using R! Azure Function supports a variety of languages (C#, F#, js, batch, PowerShell, Python, php and the list is growing). However R is not natively supported. In the following blog we describe how you can run R scripts on Azure Function using the R site extension.
Monday, July 17, 2017
We are pleased to announce the July updates of Azure Data Lake Tools for VSCode. This is a quality milestone and we added local debug capability for C# code behind for window users, refined…
Wednesday, June 28, 2017
Azure Event Hubs Capture is now generally available. This key Event Hubs feature (which was released in public preview as Event Hubs Archive), gives you access to near real-time streams, making it possible to package and transport millions of events per second for further processing. It is designed to combine both batch and near-real-time streams, so you don’t need to construct separate data pipelines.
Thursday, June 22, 2017
We released 1.1 of the Azure Management Libraries for Java. This release adds support for: Cosmos DB, Azure Container Service, and Registry Active Directory Graph.
Tuesday, June 20, 2017
This blog will demonstrate end-to-end data science workflow for predictive maintenance using PySpark.