Dremel: A Decade of Interactive Big-Data Analytics at Google paper published

This seminal paper, published by Google engineers, detailed the architecture and performance of Dremel, Google's internal system for interactive analysis of very large datasets. It introduced key concepts like columnar storage and a tree-based query execution model.

Significance

The Dremel paper provided the blueprint and validated the core concepts that would later become Google BigQuery, showcasing the feasibility of lightning-fast queries on petabytes of data and influencing the broader big data community.