Today read tips for landing a career in open source development, how to use analytics to improve customer interactions, and the highlights of a new benchmark study for analytics engines on Hadoop.
- By Lindsay Stares
- November 4, 2016
Great data scientists need to be open to a wide variety of perspectives.
- By James E. Powell
- November 3, 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
Vodafone combined agile development, data warehouse automation, and flexible data modeling to transform its reporting-centric BI into next-gen analytics.
- By Steve Swoyer
- November 1, 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
To provide you with interesting, current information, Upside is collecting quick perspectives from working professionals. Today, meet Dean Abbott, president of Abbott Analytics.
- By James E. Powell
- November 1, 2016