Choosing data tools for small and midsize enterprises, adjusting data lakes to increase processing speed, and finding the right data to achieve success.
- By Quint Turner
- November 10, 2016
Even when organizations have the necessary data to improve service processes, customers may still receive confusing communications that make organizations seem incompetent.
- By Mike Schiff
- November 9, 2016
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
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
The RDBMS challenges of the 1980s are being replayed in the world of big data.
- By Luke Liang
- 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
How to find value in data that hasn’t been used, what each type of analytics is good for, and making predictions about the future of big data and advanced analytics.
- By Quint Turner
- November 3, 2016