Data Articles | Data Science, Business Intelligence, & More

Data Architecture and Data Structures

by Michael Brackett Data management today is very lexically challenged.  One part of that lexical challenge is a confusion between the terms data architecture and data structure.  The terms are often undefined when used and are often used interchangeably.  The result is confusion about the design, development, and management of an organization’s data resource.  That…

Pervasive Business Intelligence: From Business to Consumer Intelligence

by Jelani Harper There were numerous Business Intelligence (BI) sessions at Enterprise Data World 2013, and Stephen Brobst’s “Four Trends in Business Intelligence that Cannot be Ignored” may have been the best attended. Situated in the largest conference room, excluding the pavilion reserved for keynotes and lunch, Teradata’s Chief Technology Officer spoke at length about…

The Agile Business Intelligence Movement

by Jelani Harper Several key drivers within the data and software establishments are pushing the Data Management industry towards Agile Business Intelligence (BI). Increasing amounts of data and its importance in business practices requires expedient data integration flexible enough to keep pace with rapid changes in competitor strategies, customer habits, regulations, as well as national…

Beyond Big: Integration Possibilities for Big Data

by Jelani Harper The increasing prevalence of Big Data in today’s business climate is indisputable, yet there are still several issues related to its integration with the enterprise that are preventing organizations from adopting it on a wider scale. The speed, size, and variety of Big Data present challenges to a number of conventional processes…

Data Virtualization and Real-time Data

by Ezekiel James In today’s fast-paced Data Management landscape, latency is not an option. Data must be captured and processed in real time. In other words, Business Intelligence (BI) is virtually useless if captured and analyzed too late. The enterprise is in a situation where all BI must be captured, understood, and put to use…

Analyzing Big Data: Lavastorm Analytics Engine

by Jelani Harper Any quick search indicates that there’s no shortage of analytics technologies to extract meaning from Big Data. Yet, a review of the recent activity of Lavastorm Analytics reveals that its Lavastorm Analytics Engine may be one of the more viable. At the end of April 2013, the company partnered with Datawatch Corporation…

A Closer Look at the MongoDB Document Database

by Paul Williams The document database, MongoDB, is currently one of the most prevalent NoSQL databases on the market. MongoDB offers both open-source and enterprise versions with the complete support of its developers 10gen. It provides an innovative tool for an individual developer experimenting with the freely available community edition and more robust functionality for…

Enterprise Data World 2013 Conference Overview

by Jelani Harper Numbers don’t lie: 800 attendees. 27 different countries. 7 continents. 12 individual tracks (plus combinations). 5 days and one idyllic location. Representing a range of industries from financial to education, media to healthcare, and attended by professionals from franchises such as Walmart, Bank of America, and McDonald’s, the event was truly a…

Notes from the World of Data Science – April 2013

by Paul Williams This article takes a glance at some stories in the last few weeks emerging from the growing world of Data Science. Included are news about a Data Science Consortium taking shape in North Carolina, a new tool for yet another “as a Service” acronym (DSaaS), and a look at Software Defined Networking…

The Chief Data Architect

by Michael Brackett Over the years many titles have been proposed and used for primary data management positions, such as data administrator, data guardian, data czar, data custodian, and so on.  A recent title is data governor, presumably to manage the data governance function.  However, data cannot be governed—only people can be governed.[i]  Another recent…