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.
Because there are many ways in which blockchain can be implemented, it is important to evaluate the security of individual uses.
- By Brian J. Dooley
- June 8, 2017
10 best practices for master data management, many organizations report difficulty answering questions with data, and 7 Hadoop mistakes to avoid.
- By Lindsay Stares
- June 8, 2017