Learn about the readability of pie and donut charts, explore how to make an easy grid map, and see how to best use graph analysis on text.
- By Lindsay Stares
- November 9, 2016
How election predictions and polls failed, avoid common mistakes in securing network endpoints, and understand the future of big data and emerging technologies.
- By Quint Turner
- November 9, 2016
According to Gartner, AI and new machine learning techniques will enable a new class of intelligent apps and intelligent things -- along with the emergence of so-called digital twins.
- By Steve Swoyer
- November 8, 2016
Improving customer data security (while fostering a good experience), gaining visibility into infrastructure for IT security, and preventing attacks from inside your network.
- By Quint Turner
- November 8, 2016
Part 1 of this series showed that data needs the context of information to be useful. Here we explain why information alone is still insufficient.
- By Barry Devlin
- November 8, 2016
The RDBMS challenges of the 1980s are being replayed in the world of big data.
- By Luke Liang
- November 7, 2016
Data without context lacks meaning and purpose, but how is data different from information? Defining your terms is the first step to more insightful decisions.
- By Barry Devlin
- November 7, 2016
Mitigate future DDoS attacks by learning how manufacturers and users can improve IoT security, how Bluetooth technology may increase IoT security risks, and how IoT botnets are formed.
- By Quint Turner
- November 7, 2016
In their work, many data and business analysts spend the bulk of their time on data preparation tasks using a patchwork of tools. I visited with Manan Goel of Paxata to discuss how to reduce this overhead, how to weave together basic and advanced data preparation capabilities, and how analysts can be more efficient and effective in their work.
- By Jake Dolezal
- November 4, 2016