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Reversing statistics for scalable test databases generation., and . DBTest, page 7:1-7:6. ACM, (2013)Rapid Adoption of Cloud Data Warehouse Technology Using Datometry Hyper-Q., , , , , and . SIGMOD Conference, page 825-839. ACM, (2018)A Framework for Emulating Database Operations in Cloud Data Warehouses., , , , , , , , , and 1 other author(s). SIGMOD Conference, page 1447-1461. ACM, (2020)Datometry Hyper-Q: Bridging the Gap Between Real-Time and Historical Analytics., , , , , , , , , and . SIGMOD Conference, page 1405-1416. ACM, (2016)Intelligent Automated Workload Analysis for Database Replatforming., , , , , , , , , and . SIGMOD Conference, page 2273-2285. ACM, (2022)Harnessing the Deep Web: Present and Future., , , and . CIDR, www.cidrdb.org, (2009)On APIs for probabilistic databases., and . QDB/MUD, page 41-56. (2008)MayBMS: A System for Managing Large Amounts of Uncertain Data.. Cornell University, USA, (2010)An Integrated Architecture for Real-Time and Historical Analytics in Financial Services., , , and . BIRTE (Revised Selected Papers), volume 337 of Lecture Notes in Business Information Processing, page 35-44. Springer, (2015)High-Throughput Adaptive Data Virtualization via Context-Aware Query Routing., , , , and . IEEE BigData, page 1709-1718. IEEE, (2018)