From predictive analytics to machine learning and the Internet of Things (IoT), Big Data is revolutionizing business. From enhancing customer experience to empowering teams and refining internal operations, there’s an unprecedented opportunity to gather, store, and analyze data to gain meaningful insights for business users.
Our Big Data solutions provide real-time analyses and insights into and around your Key Performance Indicators—and interpret how you can action on that data to improve your operations.
HDInsight is a Hadoop distribution powered by Azure cloud. Handle any amount of data, unstructured or semi-structured from diverse sources, scaling from terabytes to petabytes on demand. Analyze new sets of data which uncovers new business possibilities to drive your organization forward.
Easily design, test, operationalize and manage predictive analytics solutions in the cloud. Azure ML offers a streamlined experience for all data scientist skill levels, from setting up with only a web browser, to using drag and drop gestures and simple data flow graphs to set up experiments. The Machine Learning Studio also features a library of time-saving sample experiments, R and Python packages and best-in-class algorithms from Microsoft businesses like Xbox and Bing.
Internet of Things (IoT)
By connecting devices, gathering information, and analyzing data, you can make more informed decisions in less time. Predict problems before they occur and react to changes in the market and afield, to drive maximum efficiency, minimize errors, and reduce downtime, increasing productivity and ultimately, profitability.
Stream Analytics is an event processing engine that helps uncover real-time insights from devices, sensors, infrastructure, applications and data. It will enable various opportunities including Internet of Things (IoT) scenarios such as real-time fleet management or gaining insights from devices like mobile phones or connected cars.
Event Hubs is a highly scalable publish-subscribe ingestor that can intake millions of events per second so that you can process and analyze the massive amounts of data produced by your connected devices and applications. Once collected into Event Hubs, you can transform and store data using any real-time analytics provider.