The Internet of Things (IoT) has become ubiquitous – and there are many claiming all types of expertise. 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 24/7, you would think that we’d be on the cusp of something momentous in consumer marketing. Think Again. It turns out that less than 1 percent of available data is being used for decision-making. Read article about the capabilities.
Aster Analytics on Hadoop – Advanced Analytics Better Suited For The Analyst
The world of “big data” is continuing to change dramatically. In addition to an explosive growth in volume, machine data (sensor data or the Internet of Things (IoT) data is becoming more prevalent. This trend offers new and powerful business advantages – along with challenges associated with advanced analytics on data in Hadoop.
Advanced analytic tools are not designed to run in Hadoop and typically require that the data be extracted into the specific platform. Open source advanced analytics packages are not designed with ease-of-use or the business user in mind and can be difficult to use, deploy and maintain.
Teradata Aster Analytics is different. Its advanced scalable analytics software allows business analysts (with varying IT skills) to quickly answer critical business questions. Teradata has evolved Aster Analytics to run natively in Hadoop – storing and analyzing data directly in HDFS.
New Teradata Listener™ Tames Fast-Moving Data Streams
Teradata Listener™ is a new, intelligent, self-service platform for ingesting and distributing extremely fast moving data streams throughout the analytical ecosystem, based on open source code, modern software engineering, and Teradata expertise.
Listener continuously captures and stores fast moving and extremely large data sets from hundreds of sources such as clickstreams, social media feeds, mobile events, and the Internet of Things such as IT server logs, sensors, and telematics.
The big benefit of Teradata Listener is that it frees IT from the complexity of the underlying mechanics of how data is sent, shuttled, scripted, split, and stated between various open source projects. The programmer no longer deals with scaling issues...and the business can quickly spin up and configure new data streams for faster time to value.
Video: Teradata Aster Machine Learning
Tired of struggling with your data? What if your machine could learn how to handle data on its own without being told exactly what to do? It’s called machine learning. This lively 3-min video explains the difference between supervised and unsupervised machine learning. Watch video
Blog: Data Science – Quantitative Graph Measures on Complex Networks
Whether you’re doing Social Network Analysis (SNA) or other analytics work, graph analytics can provide solid insights and help you make decisions about a complex problem. Graph measures can also be applied to graphs from social network data such as twitter feeds, emails, Facebook connection data etc., to find key nodes of interest. Read blog
Blog: Data Science – Machine Learning vs. Rules Based Systems
For 25 years, operational models have been built on traditional data warehouses – a lot of them attributed to embedded rules in the code. Rules are extremely easy to understand and were developed in the past by domain experts. There comes a point where it’s difficult to measure how well your rules work or how many exceptions you have. Read blog
Blog: Predictive Analytics with Teradata AsterR
Review an example of an analysis process using the new Teradata AsterR package. Gain insights into what Teradata AsterR is and how it works. Plus link to an excellent AsterR description. Read blog
Doing more with data has never been more possible and vital for staying competitive and building profitability. Continue to build your portfolio of analytics capabilities with cutting edge skills and strategies from this new video series. In just 10 minutes, each video can help you learn a new skill set or technique. Watch videos on machine learning, path and pattern analysis, time series, statistics, text analytics and more. Courses are free and new tutorials are added regularly. Watch 1-minute overview video