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We are concerned here with the design of intelligent magnetic bubble memories which may be used to support high-level data base management functions. They may also be used to provide users with large work spaces in which elementary file processing operations may be performed without external intervention. It is our intent to explore ways of incorporating in the design of these memories the novel chip organizations and unique features of magnetic bubble memories. In particular, we evaluate the performance of various memory organizations and storage organizations for different magnetic bubble chips. Retrieval times per word and per page are the parameters used to evaluate the different memory organizations. Performance of hierarchical bubble memory systems are discussed. The data rearrangement operations capable of being carried out in bubble memories are incorporated in the design of elementary file processing operations and basic relational algebraic operations. An architecture of intelligent magnetic bubble memory designed to support the relational data model and to enhance a relational algebraic interface is described.