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Dremel: A Decade of Interactive SQL Analysis at Web Scale

Andrey Gubarev
Dan Delorey
Geoffrey Michael Romer
Hossein Ahmadi
Jing Jing Long
Matt Tolton
Mosha Pasumansky
Narayanan Shivakumar
Sergey Melnik
Slava Min
Theo Vassilakis
PVLDB (2020), pp. 3461-3472


Google's Dremel was one of the first systems to combine a set of architectural principles that have become a common practice in today's cloud-native analytical systems, such as disaggregated storage and compute, in situ analysis, and columnar storage for semistructured data. In this paper, we discuss how these ideas evolved in the past decade and became the foundation for Google BigQuery.