Teradata, the big data analytics and marketing applications company, today announced two new breakthrough software capabilities that empower business users to uncover and operationalize the insights hidden within Internet of Things (IoT) data. The new Teradata Listener and Teradata Aster Analytics on Hadoop make it possible to intelligently listen in real-time and then use analytics to see the distinctive patterns in massive streams of IoT data.
The world is full of connected devices generating a massive and constant stream of data. In recent years, advances have been made with instrumentation of devices and their pervasive connectivity. However, the focus has not been on ingesting and maximizing value from the data with machine learning algorithms. Even the most technology-savvy organizations recognize that extracting value from data generated by the IoT is a difficult, skills-intensive process. Even more difficult is integrating the IoT data with business operations and human behavioral data.
To respond to the challenges, Teradata’s latest innovative IoT software capabilities eliminate complexity and latency, while providing organizations with entirely new capabilities to leverage data. Teradata Listener is intelligent, self-service software with real-time “listening” capabilities to follow multiple streams of sensor and IoT data wherever it exists globally, and then propagate the data into multiple platforms in an analytical ecosystem. Data propagated to the recently-released Teradata Integrated Big Data Platform 1800 provides access to large volumes of data with its native support of JSON (Java Script Object Notation) data. Data propagated to Hadoop can be analyzed at scale with Teradata Aster Analytics on Hadoop.
