Read how predictive analytics may help detect and predict data breaches, why what you don’t know can hurt your cybersecurity, and what enterprises should fix about their cloud security.
- By Quint Turner
- August 3, 2016
An increasing variety of data types, analytics needs, and business uses drive data architecture decisions today. Follow this real-world, informal evaluation of SQL, NoSQL, and Hadoop solutions that address a business use case.
- By Jake Dolezal
- August 3, 2016
Today read tips for choosing the right big data solution, using predictive analytics to improve your content marketing, and building an enterprise-ready data lake.
- By Quint Turner
- August 2, 2016
To support IoT and Industrial IoT use cases, data integration must become both more automated and more explicitly analytical. In other words, it needs to be smarter.
- By Steve Swoyer
- August 1, 2016
Read about marketing challenges with IoT, the potential in open source hardware, and how to ensure your cloud computing is secure.
- By Quint Turner
- August 1, 2016
Once you put graph databases into practice, you may find performance does not scale at large volumes. We explain how you can improve the performance of your graph applications.
- By David Loshin
- July 28, 2016
If you have an application for graph databases, what does the graph structure actually look like? We go further in-depth into the parts of a graph database and the purposes of common graph analytics.
- By David Loshin
- July 27, 2016
Is a graph database the solution to your business problem? In this article we'll explore the common characteristics of practical applications for graph databases.
- By David Loshin
- July 26, 2016