Today read about privacy concerns that consumers have around IoT data, updating your architecture to take advantage of IoT devices, and the structure, history, and benefits of data lakes.
- By Quint Turner
- September 7, 2016
The best place for managing the security of traditional enterprise applications is where the best resources are: at the cloud service provider.
- By Joshua Greenbaum
- September 7, 2016
A pilot evaluation project can be an effective way to choose the best data virtualization and federation tools to integrate your EDW and Hadoop systems.
- By David Loshin
- September 6, 2016
Companies in the U.S., Canada, Mexico, and elsewhere might not be thinking about the European Union's General Data Privacy Regulation, but they should be.
- By Steve Swoyer
- September 6, 2016
These articles explain why leftover “garbage” data sets actually have value, why you should be skeptical about data lakes, and what to consider when integrating cloud computing to your enterprise.
- By Quint Turner
- September 6, 2016
Today’s articles discuss moving analytics to the site of data collection, finding new target markets with big data, and assigning decision rights for agility with big data.
- By Quint Turner
- September 2, 2016
Your business colleagues will remember a great story, so learning to tell your team's story can win and keep your in-house customers.
- By Max T. Russell
- September 1, 2016
How to stop employees from leaving with enterprise data, avoid seeing causal connections that aren’t there, and create better predictive models by combining diverse data.
- By Quint Turner
- September 1, 2016
DevOps addresses the challenge of engineering, deploying, and maintaining software for production use. IBM says we need something similar for advanced analytics and data science.
- By Steve Swoyer
- September 1, 2016