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Explores the design of a general-purpose distributed execution system, covering challenges, specialized frameworks, decentralized control logic, and high-performance shuffle.
Explores data handling fundamentals, including models, sources, and wrangling, emphasizing the importance of understanding and addressing data problems.
Explores Hadoop's execution models, fault tolerance, data locality, and scheduling, highlighting the limitations of MapReduce and alternative distributed processing frameworks.
Addresses the urgent relationship between biodiversity loss and climate change, emphasizing the need for systemic transformation to protect ecosystems.
Explores B-physics anomalies, EFT analyses, and model-building considerations in the context of Lepton Flavor Universality violations and semi-leptonic decays of the b quark.
