Data cleaning is a critical step in the data processing cycle that can significantly impact the quality of data-driven initiatives. It’s not just about removing errors and inconsistencies; it is also ...

Part one of this two-part article discussed current trends impacting the evolution of data processing architectures, including the implications of higher transistor budgets afforded by Moore’s Law, ...