Getting to the IoT Value

August 24, 2016

  by Cheryl Wiebe and Jeff Cohen The Analytics of Things is the Payload In our last posting, we complained about all the noise out there about the IoT infrastructure, the edge devices, the tech, and tried to give you some real nuts-and-bolts advice on getting started.  Once you have grabbed a batch of, visually explored,… Read More »

Aster is Analytics for Humans:  Exploit Data In Hadoop With Teradata Aster Analytics 7

August 24, 2016

by John Thuma Fact:  Teradata is the world’s first big data analytics solution provider and Teradata’s best days are ahead.  As the lead product evangelist for Aster, I am excited to introduce our latest and greatest release: Aster Analytics 7: aka, Aster Analytics on Hadoop.  Yes, Aster on your Hadoop! The Aster advanced analytics solution… Read More »

Accelerating Analytics of Things

August 24, 2016

by: Cheryl Wiebe and Jeff Cohen Getting started with IoT means getting your hands dirty with the data Okay, okay….enough with the high level platitudes.  Enough with the vacuous statements about how IoT is growing, it’s big now, it’s going to be really big in a little while, and soon, a little while later, it’s… Read More »

The Future of Health and Human Services data modeling (Part 1)

August 19, 2016

The question was put to me “When will the IT industry provide reusable clinical and administrative data warehouses for the Medicaid enterprise?” It was a thought-provoking question that was well worth considering. Currently the healthcare insurance and provider industries are guided to target reporting that is defined by government regulation and motivated by financial incentives.… Read More »

Building a Versatile Agile Tool Chest

June 28, 2016

The Need for Versatility in Analytics In earlier posts, I warned of the challenge of adapting the principles and practices of agile development to analytics, as distinguished from agile development for software applications. When the distinction is not understood what is almost always lost in analytics is the delivery of working solutions to business stakeholders… Read More »

Welcome Changing Requirements, Even Late in Development!

June 20, 2016

We were taught in grammar school that every good story has a beginning, middle and end. Except for Infinite Jest, but that’s a different story. So here’s a short story, with a beginning, middle and end. It is a classical tragedy about gathering business requirements. Beginning “I can’t tell you what I want, but I’ll… Read More »

Implementing Teradata Temporal in a Physical Data Model using ERwin

June 15, 2016

There is no question that a database-supported temporal implementation gives Teradata users a powerful tool, because the time dimension has been added to data management and query processing. For the business user, the ability to ask more sophisticated time-based questions from their data warehouse, and receive more insightful answers, can yield a distinct competitive advantage.… Read More »

Waves of Agile Development: Thinking Outside the “Potentially Shippable” Box

June 15, 2016

In previous blogs I spoke about the distinction between agile development for analytics and agile development for software applications (the domain where the agile concepts were created). By way of review, I discussed how analytics should not be driven by the end game of potentially shippable features, because, business stakeholders for analytic solutions are not… Read More »

A Bad Project Gone Good: A Case Study

June 3, 2016

A few years back our team had the occasion to help one of the largest retailers in the world by bringing an agile style of development to solve a major problem. To set the context, over a 15-year period this company had turned out a traditional, source-driven, integrated data warehouse. The director acknowledged that throughout… Read More »

Agile Development for Analytic Solutions

May 27, 2016

With every mistake, we must surely be learning, Still my guitar gently weeps—George Harrison  Our agile center of expertise has consulted and collaborated with many organizations implementing agile development for analytics. What is somewhat astonishing to me is that many of these companies began by jumping first into a framework, like Scrum, and then building… Read More »