Avoid overhyped security solutions, encourage new software adoption, and understand the private cloud.
- By Lindsay Stares
- June 20, 2017
The data vault model and data warehouse automation are worth investigating if you are about to embark on a new data warehouse project.
- By Barry Devlin
- June 19, 2017
The prospect of chief machine learning officers, the future trends affecting data integration and cloud computing, and the problems with storing all data indiscriminately.
- By Lindsay Stares
- June 15, 2017
Migrating to the cloud can be simplified by data virtualization.
- By Ravi Shankar
- June 15, 2017
Data visualizations are a great way to look at movement over time -- whether you’re modeling animals, vehicles, or people.
- By Lindsay Stares
- June 14, 2017
Alternatives to hiring a data scientist, how data science is changing public relations, and free courses to learn about data science.
- By Lindsay Stares
- June 13, 2017
The data lake is still misunderstood by many data professionals.
- By Philip Russom
- June 13, 2017
In improving analytics, we often focus on obtaining more powerful platforms and bigger data. We neglect the second half of the equation: the abilities of our business users.
- By William McKnight
- June 12, 2017
Data in the cloud is considered secure, but that doesn't mean you're safe from these five threats.