Unlock IoT Insights Hidden in Your Data

The unprecedented volume of data generated by the Internet of Things (IoT) has made analysis of time-series data a powerful way to gain actionable insights into business performance. This type of analytics can help companies uncover hidden trends, conduct root-cause analyses, and quickly validate IoT solutions. Collecting, managing, visualizing, and analyzing time-series data at scale and in near-real time is a tall order for even the most capable of companies. That’s because sensors and connected devices can generate billions of data points every day, and businesses lack a centralized view of data and the ability to perform a unified query. Combining and visualizing disparate data types - in particular, time-series data and reference data - is daunting because organizations typically use multiple, non-integrated tools and techniques. Join speaker Andrew Shannon, Product Manager on the Azure Big Data Platform engineering team, as he addresses these challenges with Azure Time Series Insights - a managed cloud service that provides a global view of IoT-scale data with real-time visibility into your time-series data around the world.