Tips for interviewing a data scientist, preparing for an interview, and which skills to learn.
- By Lindsay Stares
- February 13, 2018
Users migrating data and applications to the cloud need richer cloud-based integration toolsets such as those in integration-platform-as-a-service (iPaaS).
- By Philip Russom
- February 12, 2018
Release includes new advancements for MapR-DB, MapR Data Science Refinery, and Apache Drill.
Auto ML is a powerful concept for the next generation of AI tools. It's part of a general movement to extend AI-based automation to data science.
- By Brian J. Dooley
- February 9, 2018
Why you shouldn’t collect data without a plan, how big data will be used for traffic safety, and how to find a quality machine learning solution.
- By Lindsay Stares
- February 8, 2018
These charts show the spread of world religions, political trends among religious leaders, and smaller religious populations.
- By Lindsay Stares
- February 7, 2018
If there's one thing we know for sure about technology, it's that innovation moves fast, but frequent innovation can be problematic for security -- especially for big data platforms.
- By Sean Curran
- February 6, 2018
Analytics careers outside data science, the skills data scientists need, and the best podcasts about data science and analytics.
- By Lindsay Stares
- February 6, 2018