Do you need to model data in today's nonrelational, NoSQL world? In fact, data modeling might be more important than ever.
- By Steve Swoyer
- March 22, 2017
Use visualizations to explore common website colors, the growth of Amazon.com, and patterns in online headlines.
- By Lindsay Stares
- March 22, 2017
Both humanitarian aid workers and climate researchers are seeking answers in data science; meanwhile, Google is moving in on the enterprise cloud market.
- By Lindsay Stares
- March 21, 2017
Making the transition to self-service analytics can be fraught with challenges. These guidelines will help you start with a strong foundation.
- By Andrew Roman Wells, Kathy Williams Chiang
- March 21, 2017
A recent report from IDC makes some bold predictions about analytics, cognitive computing, and artificial intelligence.
Companies with customers, supply chains, partners, and offices in multiple countries must understand how cross-border data restrictions affect cloud computing policy.
- By William McKnight
- March 17, 2017
Companies often lack a single version of the truth for customer, product, or service data. Two technologies can address the issue: data virtualization and master data management.
- By Ravi Shankar, Salah Kamel
- March 16, 2017
Using the scientific method to enhance data science, finding the best academic data science programs, and understanding the true costs and benefits of open source.
- By Lindsay Stares
- March 16, 2017
What’s the most eaten candy in the office, how data goals are related to visual organization, and which data visualization trends are more than just pretty pictures.
- By Lindsay Stares
- March 15, 2017