The Data Roundtable
A community of data management experts
Data management for analytics: Best practices and examples
Focus on data governance, quality and storage if you want to do data management for analytics right.
Growing importance of data lineage when managing data for analytics
Jim Harris says learn the lineage of the data that fed the analysis before you get dazzled by visualizations or algorithms.
Trust in the data: Ensuring quality analytics
David Loshin raises questions about what needs to be done to ensure quality analytics.
The relationship between data management and analytics: Lessons from the field
Phil Simon shares some lessons from his consulting career.
Streaming data – How fast is fast?
Before grabbing that streaming data so quickly, Joyce Norris-Montanari says you should ask a few questions.
Data lake management for analytics
Jim Harris warns against allowing your data lake to become a poorly managed and ungoverned data dumping ground.