Microsoft has updated the big data and analytics capabilities of its Azure cloud services with the availability of Azure Machine Learning. It has also made Azure HDInsight available on Linux and adding the Storm stream analytics platform to HDInsight.
Announced at the Strata+Hadoop World conference, the service is intended to make it much simpler for businesses to predict future trends from the data at their disposal. This will enable developers and data scientists to build and deploy apps in just a few hours to improve customer experiences, predict and prevent system failures, enhance operational efficiencies and uncover new insights, Microsoft said.
As part of the Machine Learning service, Microsoft is also offering a Machine Learning Marketplace that enables customers to find APIs and finished services, such as recommendations, anomaly detection and forecasting, in order to deploy solutions quickly.
Meanwhile, Microsoft is continuing its new-found love for open-source software by announcing that its Hadoop-based Azure HDInsight service is now being offered running on Ubuntu Linux clusters in Azure, in addition to Windows Server instances.
"This is particularly compelling for people that already use Hadoop on Linux on-premises like on Hortonworks Data Platform, because they can use common Linux tools, documentation, and templates and extend their deployment to Azure with hybrid cloud connections," said T.K. Rengarajan, corporate vice president for Data Platform at Microsoft, writing on the Official Microsoft blog.
Also available now is Storm for Azure HDInsight, an open-source stream analytics tool that can process millions of data events in real time as they are generated by sensors and devices, making it useful for organisations that may be building out an Internet of Things strategy.
Microsoft additionally said that Storm will be available for both .Net and Java with the ability to develop, deploy, and debug real-time Storm applications directly in Visual Studio.
"That helps developers to be productive in the environments they know best," Rengarajan said.
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