The Data Roundtable
A community of data management experts
Self-service data prep versus data quality
Many data quality issues are a result of the distance separating data from the real-world object or entity it attempts to describe. This is the case with master data, which describes parties, products, locations and assets. Customer (one of the roles within party) master data quality issues are rife with examples, especially
SAS Event Stream Processing with Hortonworks – The future is now
Even the most casual observers of the IT space over the last few years are bound to have heard about Hadoop and the advantages it brings. Consider its ability to store data in virtually any format and process it in parallel. Hadoop distributors, such as Hortonworks, can also provide enterprise-level
Five data quality lessons from Amazon
@philsimon on what we can learn about data quality from Jeff Bezos's behemoth.