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
See an updated consolidation of election polling predictions, plus learn how selling data can be a huge opportunity if approached correctly, how to improve the quality of data visualizations, and understand the basic history and current potential of BI.
- By Quint Turner
- November 2, 2016
Visualizations are used in these articles to determine which industries pay the highest analyst salaries, which skills are most in demand, and what Homer Simpson’s average salary would be.
- By Lindsay Stares
- November 2, 2016
The lessons your enterprise should learn from recent data breaches, how data analysts became data scientists, and the skills and knowledge needed to become a data scientist today.
- By Quint Turner
- November 1, 2016