Data availability for the visually impaired, good cloud security practices, and SQL’s importance for data science.
- By Lindsay Stares
- March 9, 2017
How do you tell a good quantitative story? According to Angela Bassa, it's at once a straightforward enterprise and a methodological minefield.
- By Steve Swoyer
- March 9, 2017
These visualizations demonstrate the effect of shadows on city streets, the difference between tourist and non-tourist photos, and the dangers of extreme photos.
- By Lindsay Stares
- March 8, 2017
Data scientist Claudia Perlich explains why we must use machine learning and predictive technologies ethically, responsibly, and mindfully.
- By Steve Swoyer
- March 8, 2017
Russ Olsen advises technical people not to discount the human element. Without it you'll never pull off a real moonshot.
- By Steve Swoyer
- March 7, 2017
In order to use advanced analytics insights, we must identify and control for our biases. In all likelihood, we're going to be surprised by what we find.
Worst data scientist hiring practices, future-proof a data science career, and launch a great BI program.
- By Lindsay Stares
- March 7, 2017
Experienced data management professionals are adopting Hadoop, and they want to use their SQL skills and tools with Hadoop data.
- By Philip Russom
- March 6, 2017
Data originating on cloud or migrating to cloud demands best practices just as other valuable data assets do.
- By Philip Russom
- March 6, 2017