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Data Science through the looking glass and what we found there., , , , , , , , , and 1 other author(s). CoRR, (2019)Vamsa: Automated Provenance Tracking in Data Science Scripts., , , , , , , and . KDD, page 1542-1551. ACM, (2020)Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud., , , , , , , , , and 1 other author(s). CoRR, (2022)Schema Matching using Pre-Trained Language Models., , , , , , , and . ICDE, page 1558-1571. IEEE, (2023)Peering through the Dark: An Owl's View of Inter-job Dependencies and Jobs' Impact in Shared Clusters., , , , , and . SIGMOD Conference, page 1889-1892. ACM, (2019)Reservation-based Scheduling: If You're Late Don't Blame Us!, , , , , and . SoCC, page 2:1-2:14. ACM, (2014)Lorentz: Learned SKU Recommendation Using Profile Data., , , , , , and . Proc. ACM Manag. Data, 2 (3): 149 (2024)SparkCruise: Handsfree Computation Reuse in Spark., , , , , and . Proc. VLDB Endow., 12 (12): 1850-1853 (2019)Morpheus: Towards Automated SLOs for Enterprise Clusters., , , , , , , , , and 1 other author(s). OSDI, page 117-134. USENIX Association, (2016)Peregrine: Workload Optimization for Cloud Query Engines., , , , , , and . SoCC, page 416-427. ACM, (2019)