Teradata customers can now listen to the Internet of Things data thanks to two new software innovations designed to create insights into developments.
Teradata’s new Listener and Aster Analytics applications can intelligently listen in real-time and then use analytics to see the distinctive patterns in massive streams of IoT data, it says.
Teradata Listener is an intelligent system that can follow multiple streams of sensor and IoT data wherever it exists globally and feed it to a choice of different analytical systems. Data sent to the Teradata Integrated Big Data Platform 1800 provides access to large volumes of data with its native support of JSON (Java Script Object Notation) data. Alternatively, data fed to a Hadoop based system can be analysed at scale with Teradata Aster Analytics on Hadoop.
Teradata Listener helps data scientists, business analysts and developers to analyse new data streams for faster answers to business questions. Users can analyse data from numerous sources including sensors, telematics, mobile events, click streams, social media feeds and IT server logs, without seeking technical help from the IT department.
Teradata Aster Analytics on Hadoop has 100 pre-configured analytics techniques and seven vertical industry applications to run directly on Hadoop.
In a hospital, data from magnetic resonance imaging (MRI), radiography, and ultrasound imaging equipment might be streamed as text logs. This information describing patient behaviour and sensor data could be streamed into an Hadoop data lake. The new systems allow the users to runs text analytics on the data in order to find out how effectively personnel are working and how efficiently expensive resources, such as MRI scanners, are being used.
“Customers can combine IoT data with business operations and human behavioural data to maximise analytic value,” said Hermann Wimmer, Teradata’s co-president, “Teradata Listener and Aster Analytics on Hadoop are breakthrough IoT technologies that push the analytic edge, making the ‘Analytics of Everything’ possible.”
The collection and analysis of sensor and IOT data has been integral to driving the efficiency of the rail business, according to railways expert Gerhard Kress, director of Analytical Services at Siemens’ Mobility Division.