Feature
The Internet of Things (IoT) has become ubiquitous — and it seems almost everyone claims to have some expertise about it.
With consumer devices ranging from Fitbits to Nest thermostats, sensor devices for business and industrial applications, and an ever-growing assortment of apps gathering data and insights across our days and nights, you would think that we’d have both ourselves and the world pegged.
Think Again
That won’t remain the case for long, Teradata claims. Twogood and his team will unveil Teradata Listener and Teradata Aster Analytics on Hadoop at Teradata 2015 PARTNERS, the company’s annual user group conference in Anaheim, Calif. this week.
Streaming Gets Smart
Teradata Listener is intelligent, self-service software with real-time “listening” capabilities, according to Twogood.
It allows users 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.
Listener is not an ETL (Extract, Transform and Load) solution: It’s a new class of streaming, Twogood said. Think Kinesis, Dataflow, Confluence.
Or perhaps more simply stated, it’s less like a file and more like a stock flow.
Listener can stream to multiple targets, clickstreams, social media, IoT, mobile events. Developers, according to Twogood, can create APIs to look at what data is coming in, what’s flowing out, what’s popular and such.
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Teradata Analytics on Hadoop then uses analytics to identify distinctive patterns in fast-moving, streaming data in real time.
Algorithms can also be run to not only identify patterns in real time data streams but also against data stored in data lakes, as well as other places.
“We have created over one hundred machine learning algorithms,” said Twogood. They leverage data coming in from sensors of every kind ranging from those placed in shipping containers, heavy machinery, shopping checkouts, home security systems…you get the idea.
From IoT to AoT
Teradata’s IoT capabilities now include listening for data from social (think Facebook), JSON, telemetry, XML and other data types, ingesting them in real time and to multiple targets (Hadoop, Teradata Appliance, cloud) and then running analytics using Teradata Aster Analytics on Hadoop among others.
You need a combination of big data, fast data, streaming data, analytics and great minds to succeed today. Teradata’s Analytics of Things has the potential to add an important new dimension.
Title image from Twitter
