Discussion

Big Data Changes the Metadata Point of View

Ian Rowlands

by Ian Rowlands I was talking to some very smart people about a knotty metadata problem yesterday. It eventually got to the dinosaur (me) explaining to the bright young things (everyone else) about how old-fashioned mainframe programs worked – and as I talked about the way COBOL handled datasets, records and fields it really brought…

November 2013 DATAVERSITY Letter from the Editor

Shannon Kempe

Did you hear the news? DATAVERSITY acquired SemanticWeb.com and the SemTechBiz Conferences. Very exciting for us to bring back this level of education on Semantic Technologies into the fold. Tony Shaw, our CEO and Founder, said this in the Press Release: “We are pleased to be engaging again with the community of semantic technology professionals…

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,…