Data Blogs | Information From Enterprise Leaders

Don’t Understaff and Overstretch Your Analytics Development Team

OFFICIAL IBM PHOTO FOR JAMES KOBIELUS

by James Kobielus Enterprises increasingly worry about whether they can fulfill all their new data science requirements with qualified candidates. But an even larger issue has been simmering for years in many organizations’ data analytics practices. The issue is that it’s typical for many companies to short-staff traditional positions, such as business analyst, report developer,…

Beware ‘Big Schema’

SONY DSC

by Michael Blaha Most everyone has heard of “big data” – the popular term for data so massive it’s difficult to manage. Today, the volume of search engine queries, online retail sales and Twitter messages regularly exceeds the capabilities of traditional databases. There’s a complement to big data that we call “big schema”. Modern data…

Why Women Won’t Submit… to Speak at Your Event

Why Women Won’t Submit - Slide

by Karen Lopez We in the data world are fortunate that we have a higher percentage of female professionals than other IT specializations. We also tend to have more female attendees and speakers at Enterprise Data World than other conferences I attend. However that doesn’t mean that we are doing well in ensuring female speakers…

Tools for Real-Time Big Data Analytics

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by Gil Allouche In today’s fast-paced world it’s not enough to just gather and store petabytes of data. Companies also need to be able to analyze that data in real-time. Waiting hours or days for the information to be analyzed simply won’t cut it for many operations. Because of that, companies across the globe are…

Fast Data: The Next Evolutionary Step in Big Data Analytics

Jörg Bienert

by Jörg Bienert It is often said that time is money and nowhere is this adage more pertinent than in today’s digitized business world. Thanks to a host of devices and gadgets, all connected to the internet, organizations have access to data like never before. However, this “connected” world also means that businesses face an…

May 2014 DATAVERSITY Letter from the Editor

Letter from the Editor

We just came back from our first conferences of the year, Enterprise Data World 2014 Conference and Expo and CDO Vision in Austin, TX. Both events went exceptionally well. We heard a lot of good things from attendees and the #EDW14 hashtag streamed some very nice comments. My favorite part of the event is working…

Hadoop is Beginning to Stare Newer Big Data Approaches in the Face

OFFICIAL IBM PHOTO FOR JAMES KOBIELUS

by James Kobielus Waves pass, though the soft shorelines they sculpt might endure longer than you’d expect. Every new technology platform enters the world as a wave that builds and builds until it’s overtaken by the next wave to come along. That’s the historical perspective expressed by a Forrester “S-curve” or a Gartner “hype cycle”.…

Is Data Governance Dying?

Ian Rowlands

by Ian Rowlands There was a plaintive note  on LinkedIn recently from Jim Barker, Director of Data Management at Honeywell. You can see his link here — http://lnkd.in/bDyr__Y . He’s conducting a survey for on what firms are doing on Data Governance for a thesis he’s writing. Please review the survey and consider participating. What…

To Err is Human, to Keep Erring is Stupid

JohnLadley2013

by John Ladley Apologies to Alexander Pope, who penned “To err is human, to forgive, divine.”  But it is a good statement to set the context with this month’s blog. Most of us reading this are dealing with data quality, data governance and other information-related topics.  If you are any amount of effort into these…