Data scientist Denny Lee shares three must-have skills for data scientists and argues that being asked to do the impossible brings out the best in an analyst.
- By Steve Swoyer
- July 29, 2016
What happens when business units cut their tether to the IT department? In the short run, business users are ecstatic, but without governance strategy, mismanaged self-service can undermine data consistency.
- By Wayne Eckerson
- July 28, 2016
Once you put graph databases into practice, you may find performance does not scale at large volumes. We explain how you can improve the performance of your graph applications.
- By David Loshin
- July 28, 2016
Learn how to protect your enterprise from ransomware, the top things you need to know about cybersecurity today, and how to optimize the sales targeting of machine learning recommendations.
- By Quint Turner
- July 28, 2016
Report examines experiences with data preparation, discusses goals and objectives, and looks at important technology trends reshaping and enhancing data preparation processes.
Articles explore data storytelling myths, understanding data scientists, and data visualization’s history, plus a data visualization tutorial.
- By Quint Turner
- July 27, 2016
To create a good visualization, you must consider the purpose, the data, and the audience, and it helps to know a few fundamental design principles. These three articles will help you improve your visualization skills by exploring those principles.
- By Lindsay Stares
- July 27, 2016
If you have an application for graph databases, what does the graph structure actually look like? We go further in-depth into the parts of a graph database and the purposes of common graph analytics.
- By David Loshin
- July 27, 2016