2017年6月22日
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.
2017年6月20日
This blog will demonstrate end-to-end data science workflow for predictive maintenance using PySpark.
2017年6月15日
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.
2017年6月12日
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.
2017年6月5日
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…
2017年6月5日
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.
2017年5月23日
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…
2017年5月18日
Announcing Public Preview of HDInsight HBase on Azure Data Lake Store
2017年5月16日
Today we’re excited to announce a quick and easy way for the moderately technical user to get started with a pre-bundled visual analytics & big data solution running on Microsoft Azure: The Tableau/Cloudera Quickstart, built by Slalom
2017年5月15日
Microsoft loves Linux! Learn more about how Cloudera and Microsoft have teamed up around Cloudera Enterprise Data Hub and Azure Data Lake to solve customer big data problems.
