Before you assemble your DataOps team, you must identify the functions members will perform. First part of a two-part series.
- By Mark Marinelli
- February 11, 2019
Data warehouses designed to handle today’s big data challenges, enabled by flash memory, are helping enterprises stay on top of an avalanche of data. Yellowbrick CEO Neil Carson explains.
- By James E. Powell
- February 8, 2019
How data management impacts customer experience, factors for choosing self-service architecture, and improving data quality and risk management.
- By Upside Staff
- February 7, 2019
Where downloads are fastest, how quickly websites rack up interactions, and which online advertisements are the most hated.
- By Upside Staff
- February 6, 2019
How to hire AI skills, how fast those skills lose value, and new models to help solve AI blind spots.
- By Upside Staff
- February 5, 2019
Today, it's everyone's responsibility to communicate, understand, and act upon data. Natural language generation helps provide understanding for those who aren't data experts.
- By Marc Zionts
- February 4, 2019
Data models seem to represent the real world, but a model can be misleading if the relationship between truth and information is not understood.
- By Barry Devlin
- February 1, 2019
How to hire a data science team, plan a data science strategy that works, and evaluate new tools that automate data science tasks
- By Upside Staff
- January 31, 2019