The Data Roundtable
A community of data management experts
Big data quality – Part 2
Jim Harris discusses perspectives on the question of how much quality big data really needs.
Data integration methods
There are many ways to do data integration. Those include: Extract, transform and load (ETL) – which moves and transforms data (with some redundancy) from a source to a target. While ETL can be implemented (somewhat) in real time, it is usually executed at intervals (15 minutes, 30 minutes, 1
Big data quality – Part 1
Jim Harris addresses some of the most common questions and challenges big data poses for data quality.