AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This thesis argues that database systems can support expressive workloads without sacrificing performance or correctness by recovering and propagating this information across system boundaries.
This paper revisits the connection between Datalog and relational databases, advocating recursive SQL as a backend for Datalog evaluation, and presents a compilation framework that translates Datalog programs, particularly those in the Linear Datalog fragment, into equivalent recursive SQL queries.
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