Teradata Leverages Hadoop and the Internet of Things with New Software Tools
Teradata, the big data analytics and marketing applications company, has caught our eye here on OStatic before for its Teradata Appliance for Hadoop with Cloudera, which enables users to speed the deployment of their Hadoop distribution from Cloudera or Hortonworks--two of the biggest players on the Hadoop scene. Now, the company has announced two new software offerings that purportedly 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," according to the company.
As the Internet of Things spreads out, many companies are looking for new tools that can process torrential streams of data that IoT objects and devices are collecting. When it comes to software for these purposes, the focus has not been on ingesting and maximizing value from the data with machine learning algorithms.
Teradata's latest innovative IoT software capabilities are targeted to eliminate complexity and latency, while providing organizations with 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.
"Customers can now take full advantage of IoT data generated from nearly an unlimited number and type of devices. In addition, Teradata enables customers to combine IoT data with business operations and human behavioral data to maximize analytic value," said Hermann Wimmer, co-president, Teradata. "Teradata Listener and Aster Analytics on Hadoop are breakthrough IoT technologies that push the analytic edge, making the 'Analytics of Everything' possible."
The company also offers up a use case:
"For example, a Teradata customer and major manufacturer sells and services magnetic resonance imaging (MRI), radiography, and ultrasound imaging equipment to global hospitals and clinics. These medical devices have become indispensable in global healthcare, with thousands of patient scans daily. Text logs describing patient behavior and sensor data are streamed 24/7 from the equipment into the manufacturer's Hadoop data lake. Teradata runs text analytics on the data to uncover insights that help global field service personnel improve machine up-time and extend maintenance windows. Simultaneously, data from the equipment manufacturing process flows into a Teradata Appliance where advanced analytics offer insights for improving quality and manufacturing efficiency and help ensure that problems are not passed to the next product generation."
"Daily, we collect millions of sensor observations from our equipment, and from our Engineers we receive thousands of written reports that are digitized. We subject the data to a variety of analytics to discover hidden patterns in order to ensure optimal equipment performance. Our partnership with Teradata has helped us predict the leading indicators for train equipment breakdown," said Gerhard Kress, director, Analytical Services, Siemens Mobility Division. "The collection and analysis of senor and IOT data has been integral to driving the efficiency of the rail business."
If you are interested in the general theme of performing analytics on streaming IoT data, Teradata has an upcoming webinar, November 16, called Real Time Data Streams: What's in it for Me?