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Data Science through the looking glass and what we found there., , , , , , , , , and 1 other author(s). CoRR, (2019)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)A Tensor Compiler for Unified Machine Learning Prediction Serving., , , , , , and . OSDI, page 899-917. USENIX Association, (2020)Tensors: An abstraction for general data processing., , , , , and . Proc. VLDB Endow., 14 (10): 1797-1804 (2021)Neptune: Scheduling Suspendable Tasks for Unified Stream/Batch Applications., , and . SoCC, page 233-245. ACM, (2019)Query Processing on Tensor Computation Runtimes., , , , , , , , , and . Proc. VLDB Endow., 15 (11): 2811-2825 (2022)Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms., , , , , , , , , and 2 other author(s). SoCC, page 441-452. ACM, (2019)Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts., , , , , , , , , and 1 other author(s). SIGMOD Conference Companion, page 123-126. ACM, (2023)KEA: Tuning an Exabyte-Scale Data Infrastructure., , , , , , , , , and 5 other author(s). SIGMOD Conference, page 2667-2680. ACM, (2021)Unearthing inter-job dependencies for better cluster scheduling., , , , and . OSDI, page 1205-1223. USENIX Association, (2020)