BUSINESS IMPACT

Sep 14, 2015

Connecting HDInsight Data with Azure Machine Learning

Josh Fennessy Posted by Josh Fennessy

In an earlier post, Mike Cornell of BlueGranite introduced Azure ML – Microsoft’s Machine Learning engine in the cloud. Mike showed you how you can build an experiment, then publish it for use in your self-service BI application. In this video, we’ll go one step deeper and show you how to connect your data stored in HDInsight.

HDInsight with Azure MLWhy combine HDInsight with Azure ML?

HDInsight provides the ability to work with massive amounts of data – billions of data points – using the power of distributed processing. HDInsight provides functionality to pre-process and shape that massive amount of data into a form that can be easily consumed by Azure ML.
In addition, it provides a way to add structure to un-structured and semi-structured data allowing analysts working in Azure ML to quickly put together models and experiments. These models and experiments on unstructured data can provide insights to customer buying patterns, buyer sentiment, and forecasting predictions at a pace never before possible.

With the ability to connect directly to HDInsight from the Azure ML workspace, gaining insights from data has never been closer at hand.

Interested in learning how a Modern Data Platform using Hadoop Data Lakes might benefit your organization? BlueGranite's Whiteboarding Sessions are an on-site, hands-on discussion between your leadership team members and our Data and Analytics Strategists.  Request a session today.

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Josh Fennessy

About The Author

Josh Fennessy

Josh is a Solution Architect at BlueGranite. Josh is passionate about enabling information workers to become data leaders. His passions in the data space include: Modern Data Warehousing, unstructured analytics, distributed computing, and NoSQL database solutions.

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