Data governance: methodology and tools by Alexander Alexander Zhukov

The presentation covered data governance methodology and tools, starting with definitions and drivers of data governance, including data quality and skills gap. The DAMA and GCP data governance frameworks were discussed, along with metadata management and the financial impact of bad data. The case study presented a UK-based global mining company's AWS-based data platform solution with centralized metadata storage. The project highlighted data quality validation, onboarding real data, and new functionality for DataHub.
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