The Data Roundtable
A community of data management experts
Don't be shy! Interviewing people BEFORE or AFTER a facilitated session just takes a bit of confidence, and good preparation. Building your confidence gets easier and easier the more you participate in interviews. The objective is to prepare and not waste anyone’s valuable time. I like to prepare notes based on
Many managers still perceive data quality projects to be a technical endeavour. Data being the domain of IT and therefore an initiative that can be mapped out on a traditional project plan with well-defined exit criteria and a clear statement of requirements. I used to believe this myth too. Coming
Hadoop recently turned eight years old, but it was only 3-4 years ago that Hadoop really started gaining traction. It had many of us “older” BI/DW folks scratching our heads wondering what Hadoop was up to and if our tried-and-true enterprise data warehouse (EDW) ecosystems were in jeopardy. You didn't
David Loshin defines reference data and sets up a working definition for his next set of posts.
Dylan Jones says one way to improve data accuracy is to increase the frequency and quality of reality checks.
This is the time of year when we like to make predictions about the upcoming year. Although I am optimistic about the potential of predictive analytics in the era of big data, I am also realistic about the nature of predictability regardless of how much data is used. For example, in