The General Data Protection Regulation (GDPR), implemented in May 2018, represents one of the most comprehensive and stringent data privacy frameworks in global regulatory history. Despite its widespread adoption and significant penalties for non-compliance, organizations worldwide continue to struggle with proper Personally Identifiable Information (PII) handling, resulting in billions of euros in fines and irreparable
In the rapidly evolving landscape of modern data ecosystems, where organizations process petabytes of information across complex multi-cloud architectures, a silent crisis is undermining the very foundations of data-driven decision making: missing metadata creating untraceable data lineages. This phenomenon represents one of the most insidious threats to data governance, regulatory compliance, and organizational intelligence, as it
The proliferation of web scraping as a primary data collection method for time-series analysis has introduced a critical vulnerability that threatens the integrity of longitudinal studies and data-driven decision-making: IP bans that create systematic gaps in temporal datasets. This disruption represents more than a technical inconvenience—it fundamentally compromises the continuity that forms the foundation of