Category Archives: Data Science & Modeling

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 »

Let’s Be Clear: DevOps and the Agile Approach

March 2, 2016

If you are a curious individual then, like me, when you hear a new buzzword of occupational interest, you Google it and try to understand what it really means and how it fits into what you do. Right? More important, you want to know how you can apply this to your everyday work life to… Read More »

The Joy of Data Viz: The Data You Weren’t Looking For

December 8, 2015

“A good sketch is better than a long speech” – Napoléon Bonaparte I recently came across this quote on the opening page of Phil Simons’ book,  “The Visual Organization, Data Visualization, Big Data, and the Quest for Better Decisions.” It is available online. Data visualization, or Data Viz as it is often referred to, is… Read More »

Data Modeling Requires Detailed Mapping — Learn Why

November 30, 2015

Mapping is an important step to understanding your data and where the data resides in your ecosystem. Mapping takes us from the known to the unknown and is effectively accomplished by using mapping tools, adopting best practices, and having a common understanding of how the mappings will be used. But mapping does take a considerable amount… Read More »

Your Big Data Initiative may not Require Logical Modeling

May 12, 2015

By: Don Tonner Logical Modeling may not be required on your next big data initiative.  From experience, I know when building things from scratch that a model reduces development costs, improves quality, and gets me to market quicker.  So why would I say you may not require logical modeling? Most data modelers are employed in… Read More »

Teradata RainStor’s Compression and Performance Technology

April 1, 2015

It is well-known that there are two extreme alternatives for storing database tables on any storage media: storing it row-by-row (as done by traditional “row-store” technology) or storing it column-by-column (as done by recently popular “column-store” implementations). Row-stores store the entire first row of the table, followed by the entire second row of the table,… Read More »