To overcome barriers and get started with big data and Hadoop, you need the right business case, the right training, and a good starting point.
- By Philip Russom
- June 30, 2016
These articles explain what to think about when hiring analytics professionals, how to get the most out of your data science team, and why you may benefit from unconventional sources of new data.
- By Quint Turner
- June 30, 2016
Cisco Systems and IBM announced they'll collaborate on edge analytics. What is edge analytics and why does it matter?
- By Steve Swoyer
- June 30, 2016
With eight million people across five boroughs, New York City creates a lot of data to explore! Learn how people are using public data to examine police statistics, land use, and even the trees on the streets.
- By Lindsay Stares
- June 29, 2016
Today learn how American Express came to use big data in a big way, how AI applications can help with cybersecurity, and how to build new data sets for machine learning or other advanced analytics.
- By Quint Turner
- June 29, 2016
LawGeex combines text analytics, machine-learning algorithms, and crowdsourcing to review employment contracts free of charge.
- By Linda L. Briggs
- June 29, 2016
The Transaction Performance Processing Council has revised its official big data benchmark: the aptly titled TPCx-BB. Benchmarks matter -- but not for the reasons you might think.
- By Steve Swoyer
- June 28, 2016
The field of analytics has failed to grasp the reality that data is not reality.
- By Barry Devlin
- June 28, 2016
Text is commonly referred to as unstructured data, but it clearly has structure. What does "unstructured" mean in a data context?
- By Bill Inmon
- June 28, 2016