Data Science

When organizations capture and analyze big data to extract knowledge and insight from it, they often must aggregate three diverse…

Data science teams capture, store, and analyze data to extract valuable information and insight. In recent newsletters, I focused on…

You can’t have a discussion about big data without some Hadoop basics, but when you ask people what Hadoop…

A schema is a formal description and/or illustration of how data is structured and related in a relational database.…

To analyze a body of data, that data must first be loaded into a data warehouse; that is, it must…

Albert Einstein has been credited with saying that if he had an hour to solve a problem he’d spend…

In a previous newsletters I stress the importance of asking compelling questions when serving as a member on a data…

Have you ever watched a movie that had great actors, costumes, sets, cinematography, and special effects but a terrible plot?…

When your data science team is composing a story, it needs to understand the data storytelling audience in order to…

The success of any data science initiative hinges on the team's ability to ask interesting data analytics questions…

In a previous newsletter I point out some of the key differences between traditional projects and data science projects. One…

Imagine delivering a presentation to a group of coworkers. You've developed a way to manufacture the company'…