Azure Data Architecture Guide – Blog #3: Advanced analytics and deep learning


We'll continue to explore the Azure Data Architecture Guide with our third blog entry in this series. The previous entries for this blog series are:

Like the previous post, we'll work from a technology implementation seen directly in our customer engagements. The example can help lead you to the ADAG content to make the right technology choices for your business.

Advanced analytics and deep learning

Go beyond historical reporting and exploratory analysis of your data by enabling predictive processing and automated decision making with Azure services like Azure Machine Learning and Apache Spark on HDInsight. When you need to harness the power of multiple GPUs to build sophisticated deep neural architectures and train them on a large data set, get a jump start on the task with Deep Learning Virtual Machines and CNTK, the unified deep-learning toolkit by Microsoft. See also this deep learning sample architecture.

 Advanced analytics and deep learning

Highlighted services

Related ADAG articles

 

Please peruse ADAG to find a clear path for you to architect your data solution on Azure:

 

Azure CAT Guidance

"Hands-on solutions, with our heads in the Cloud!"

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