Being data-driven wit hout being metadata-driven leads to complex and expensive development proce sses, inaccurate business insights, and general business mistrust of IT-cre ated data sets. A metadata-driven architecture incorporating data curation and data quality provides a high-quality big data solution that serves the needs of data analysts, data scientists, and other data stakeholders.< /p>\n
We leverage a metadata approach to quickly adapt to the new or chan ging source systems without data loss and with adherence to data governance policies. This involves a simple code base leveraging the structural metadata repository to load target data, providing transparency to stakehol ders throughout the information lifecycle. Data curation and transformation is automated from development through business self-service environments. Exposing technical, operational, and business metadata within a data catalo g provides transparency to end users. The data catalog enables end users to enhance data-related information fostering collaboration and the sharing o f data insights throughout the enterprise.
\n DTSTART:20200326T083000 SUMMARY:Metadata-Driven Architecture for Simplified ETL and Data Curation DTEND:20200326T092959 LOCATION: See Description END:VEVENT END:VCALENDAR