Data Blogs | Information From Enterprise Leaders

Tools for Real-Time Big Data Analytics

gil_allouche

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…

Metadata Management Q&A – Part 2

Ian Rowlands

by Ian Rowlands I was privileged to do a webinar on March 19th as a preview for a session that I’m doing at the Enterprise data World Conference in Austin on April 30th. I got some really good questions and I thought I’d use my DATAVERSITY Blog to address some of them in two parts…

Data Models have Many Benefits. Here are 10 of them:

Blaha-Michael

by Michael Blaha 1.            Higher quality. Just as architects consider blueprints before constructing a building, you should consider data before building an app. On average, about 70 percent of software development efforts fail, and a major source of failure is premature coding. A data model helps define the problem, enabling you to consider different approaches…

Hiring the Best – What Data Scientists Need

gil_allouche

by Gil Allouche Big data is making waves like never before, and it’s time for your company to seriously invest in it too. To have success with big data companies need to invest in data gathering, storage, and analytics. With programs like Apache Hive, big data analysis is becoming easier and more important. After all,…