Author: Dan Marks

Without following an adequate data governance framework, data quality remains elusive, especially as the data is managed and retained in silos and organizations struggle to achieve a holistic enterprise-wide view of all of their big data assets. Hear from AWS and Mactores Cognition experts how data lake house technology helps overcome the limitations of data lake and data warehouse systems, and explore architectural characteristics of the data lake house and how these help users optimize data orchestration workflows.