According to TDWI survey data, about half of all enterprises expect to replace their data warehouse systems -- in some cases, their analytics tools, too -- over the next three years. What should they replace them with?
- By Steve Swoyer
- January 11, 2017
Learn why you should design tools for people with low technical skills, how many homes in the U.S. have a computer, and where the fastest Internet is.
- By Lindsay Stares
- January 11, 2017
Three examples highlight the power of machine-learning predictive analytics.
- By Sameer Nori
- January 11, 2017
It’s 2017, and there are many exciting developments anticipated in the data world. Make sure you’re ready to prepare for new technology trends.
- By Lindsay Stares
- January 10, 2017
What will future data architectures look like? You can bet that something like data federation will be in the mix. Because both data storage and data processing are -- and will continue to be -- highly distributed, federation is inevitable.
NoSQL and Hadoop have overlapping capabilities but they are not competitors. We examine seven features that differentiate a NOSQL document database from a relational database.
- By Sachin Sinha, Mehul Shah
- January 10, 2017
Identifying hidden machine-learning debt is just the first step in becoming debt free.
- By Paul Pallath
- January 9, 2017
How to reduce bias in data analytics, avoid issues with security-focused data lake projects, and learn from recent failures in predictive analytics.
- By Quint Turner
- January 9, 2017
In a recent report, consulting firm KPMG tackles a pair of thorny questions. Why don't decision makers place greater trust in data and analytics and how do you build this trust?