Discussion

Master Data Management Success? Yes!

Christine-Denney1

by Christine Denney Recently, I received an inquiry as to whether there really were success stories with MDM or whether MDM implementations were destined to fail. My answer as to whether there were success stories was a resounding “YES!”, but I was left wondering what prompted the inquiry in the first place. Over the years,…

Machine Learning Boosts Data-Scientist Learning, and Vice Versa

OFFICIAL IBM PHOTO FOR JAMES KOBIELUS

by James Kobielus Data scientists are human, from what I’ve seen. The same can be said about the subject-matter domain specialists who work hand-in-hand with data scientists. Sometimes one and the same human performs both functions. Sometimes it is different humans engaged in a very wetware-intensive collaboration. Humans are only human. We have limited capabilities,…

Visualizing University Business Intelligence & Analytics Programs

Jared Decker

by Jared Decker Earlier this year, we collected information about the business intelligence and analytics programs that are currently being offered by universities in the United States.  Not surprisingly, there was an incredible amount of interest in the result of that data collection effort, with more than 1000 list downloads.  However, when I made an…

October 2013 Letter from the Editor

Shannon Kempe

The seasons are changing, and whether you are heading into spring or fall, we have a lot going on at DATAVERSITY to help you through some rainy days. First off, have you seen our new DATAVERSITY Bookstore? We’ve been getting a lot of questions in our webinars from attendees asking speakers what books they should…

Big SQL Analytics: What is it and Why Should you Care?

Bernard-Wehbe_Border1

by Bernard Wehbe Today, analytics have become mainstream in the majority of organizations. Moreover, most of the analytics and data warehousing implementations have been built using traditional relational database platforms such as SQL Server, Oracle, or DB2. As data volumes grow larger and more data sources come online, organizations are hitting the limits of these traditional…

On The Server Side Muscle Debate

Abayomi Oloko 3 Thumbnail

by Abayomi Oloko In the early days of computing, thin clients were the hallmark of UNIX operating systems which borrowed mainly from centralised administration. In this architecture where the server was practically holding all information and these thin clients were used to access information on the server. Any company that has over 30 years experience…

Data Scientists Need a Professional Code of Conduct

OFFICIAL IBM PHOTO FOR JAMES KOBIELUS

by James Kobielus Some professions are in positions of public trust, even though many of their practitioners are in the private sector and may have no compunction about amassing vast wealth from their efforts. For any given society, you can identify these professions in any of several ways: does the government require rigorous education, testing,…

New Technologies Bringing Hadoop to the Windows Crowd

AdamJ (1)

by Adam Jorgensen A while back when Hortonworks released the first version of their Data Platform for Windows, my fellow hadoop fans and I jumped for joy. We knew this would be a solid offering that ran on a platform we were used to, Microsoft Windows Server.  Previously we had enjoyed the Hortonworks Sandbox and…

Delivering at the Speed of Business

Christine Denney

by Christine Denney I don’t know if it is a nod to the final days of the auto racing season, or just the latest in buzzwords, but the word ‘accelerator’ seems to be everywhere. Accelerator. I have to admit that the word does have some pizazz to it, but what does it mean and why…