Anastasia and her team win the 2022 ACM SIGMOD Test-of-Time Award

© 2022 EPFL

© 2022 EPFL

The ACM SIGMOD Test of Time Award for 2022 was given to Anastasia Ailamaki and her team for the paper NoDB: Efficient Query Execution on Raw Data Files.

The ACM SIGMOD Test of Time Award recognizes the best paper from the SIGMOD proceedings 10 years prior, based on the criterion of identifying the paper that has had the most impact (research, products, methodology) over the intervening decade. For 2022, the SIGMOD awards committee has chosen NoDB: Efficient Query Execution on Raw Data Files by Anastasia Ailamaki and her team, Ioannis Alagiannis, Renata Borovica, Miguel Branco, Stratos Idreos. NoDB introduces a radical departure from the standard paradigm of ingest-then-process data analytics: a new paradigm that does not require data loading while still maintaining the whole feature set of a modern database system. This is accomplished by making raw data files a first-class citizen, fully integrated with the query engine. NoDB introduces the concept of positional maps to efficiently execute queries on raw, never-before-seen data collections along with ingested and processed datasets. The result is a structure later known as “virtual data lake”: a cache which records frequently-used data and operations and accelerates execution through learning from previous queries. NoDB’s data virtualization and just-in-time query processing algorithms are implemented at the heart of several data lake platforms.