Learn how to approach common data quality problems, what pros and cons you face selecting open source analytics solutions, and definitions of 20 common cloud computing terms.
- By Quint Turner
- June 20, 2016
Learn about trends in cognitive computing that help enterprises manage big data, why you may be struggling with data quality and what to do about it, and 5 best practices in big data security.
- By Quint Turner
- June 17, 2016
Improve your data quality, get the most out of your big data projects, and hire a great data scientist with the tips in today’s articles.
- By Quint Turner
- June 15, 2016
IT decision-makers weren't confident in the quality of their data 20 years ago, and they still aren't hopeful in 2016. Far from it, according to a new survey.
- By Steve Swoyer
- June 8, 2016
Demand is growing for faster, more dependable data preparation. According to a recent survey by TDWI, professionals believe there is plenty of room for improvement.
- By David Stodder
- June 3, 2016
Explore governance principles to protect big data quality, the difference between analytics and insight, and tools for managing vast volumes of data.
- By Quint Turner
- June 2, 2016
There are plenty of natural obstacles to dealing with text, but those who feel threatened by advances in textual processing are inventing artificial obstacles as well.
- By Bill Inmon
- May 23, 2016
Effective data preparation depends on recognizing how to handle what we know and what we don't know about a set of data. Our goal as analytics professionals is to make less unknown and more known.
- By Troy Hiltbrand
- May 17, 2016