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.
Thursday, June 15, 2017
HDInsight set a firm goal of helping enterprises build secure, robust, scalable open source streaming pipelines on Azure. To meet this goal, a few months ago we announced a limited preview of Managed Kafka on Azure HDInsight.
Monday, June 12, 2017
Azure Event Hubs new auto-inflate lets you automatically scale-up the number of Throughput Units (TUs) on an Event Hubs namespace to meet usage needs. This feature prevents throttling when data ingress rates exceed set Throughput Units or when data egress rates exceed set TUs.
Monday, June 5, 2017
The primary focus for our May updates is to make the Spark development work easier for you in IntelliJ! In this release, your spark remote debugging experience is significantly improved. Scala SDKs…
Monday, June 5, 2017
Spikes or steps in the telemetry of your app can now be easily diagnosed. When you use Application Insights Analytics to explore app metrics over time, sudden changes, such as spikes or dips, are highlighted. With one click, Smart Diagnostics will find a pattern (a series of data with common values) that correlates with the change, and explain the reason behind it.
Tuesday, May 23, 2017
Azure offers several ways of deploying a deep-learning model (e.g. CNTK): Windows Web App, Linux (Docker) Web App, and Azure Container Services (Docker). Both of the Docker methods are perhaps more…
Thursday, May 18, 2017
Announcing Public Preview of HDInsight HBase on Azure Data Lake Store
