Data Articles | Data Science, Business Intelligence, & More

The Relevance of Open Source (Advanced) Analytics

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by Jelani Harper There are few limitations to the ways in which the confluence of Data Science and advanced analytics can aid the enterprise. The predictive capabilities of the latter can enable forecasting for Business Intelligence tools, accurately presage the needs, services, and advertising products most sought by consumers, or design applications that can proactively…

Heralding Software Defined Storage, Part 1

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by Jelani Harper The emergence of Big Data has restructured a number of facets of Data Management including options for analytics, accessibility (the Cloud), and application management. In the wake of these aforementioned advantages, very real concerns for storage due to the explosive volume of data generated by Big Data—which is largely unstructured—and a growing…

Another Face of Cognitive Computing

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by Jennifer Zaino When you think Cognitive Computing, it’s likely that IBM Watson is one of the first things that come to mind. Certainly there’s good reason for that to be the case, as the vendor has done a remarkable job getting the market familiar with the term and the possibilities. Watson’s debut on Jeopardy…

Enterprise Ready: A Closer Look at Oracle’s NoSQL Database 3.0

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by Jelani Harper Oracle’s NoSQL Database 3.0, which was released at the outset of April, comes with a multitude of innovations to increase its overall utility for the enterprise. It offers an assortment of features related to usability (tabular data models and secondary indexing), datacenter performance (failovers to secondary data centers and secondary server zones),…

To Know Your Customer, Dive Into Your Data

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by Jennifer Zaino Where does the market for refrigerator water filters and water filtration systems intersect with the Business Intelligence and Analytics technology sector? One point is at online site DiscountFilterStore.com, a medium-sized online provider of healthy home living products, including water filters, air filters, and filtration systems that is moving its customer data into…

Enterprise Data World 2014 Conference Overview, Part 2

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by Bruce A. Castner, PhD Conference attendees will often tell you that they are at a conference to learn and improve their skills from the workshops, tutorials, and individual sessions, but for many of them, they are just as interested in the Vendor Exhibits and Keynote Speakers. Here is what the Enterprise Data World 2014…

Enterprise Data World 2014 Conference Overview, Part 1

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by Bruce A. Castner, PhD What could be better than wonderful weather and the beautiful hill country setting of the Austin Renaissance Hotel?  Not a thing, unless one was also attending Enterprise Data World 2014, produced by DATAVERSITY™ and DAMA, from Sunday April 27th through Thursday, May 1st.  This year’s conference, held in the Live…

A Brief History of Cognitive Computing

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by Charles Roe The first underpinnings of modern Cognitive Computing date back to the late 19th century, with the work of mathematician George Boole and his book The Laws of Thought, and the propositions of Charles Babbage on creating what he termed an “analytical engine.” The term Artificial Intelligence (AI) was coined by the late…

What’s Changing in Key-Value Databases

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by Jelani Harper Once, Key-Value database consumers were either extremely smart or extremely cheap. The former were technologically savvy enough to leverage the architectural strengths of this NoSQL store, while the latter had few options but to learn the considerably different terminology and technology required to make it work. In their midst now arrives a…

A Suitable Descriptive Component

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by Michael Brackett The descriptive component, consisting of data names and data definitions, has been sorely lacking in the majority of data resource design and development efforts (The Missing Descriptive Component).  The lack of a descriptive component has limited a thorough understanding of data in the data resource, and has led to brute-force-physical development and…