tailieunhanh - The Claremont Report on Database Research 

Oracle Partitioning enhances the data management environment for OLTP, data marts, and data warehouse applications by adding significant manageability, availability, and performance capabilities to large underlying database tables and indexes. Oracle Partitioning permits large tables to be broken into individually managed smaller pieces, while retaining a single application- level view of the data. A comprehensive variety of partitioning methods are supported including, the ability to allow very large tables (and their associated indexes) to be partitioned into smaller, more manageable units, providing a “divide and conquer” approach to very large database management. Partitioning also improves performance, as the optimizer will prune. | The Claremont Report on Database Research Rakesh Agrawal Anastasia Ailamaki Philip A. Bernstein Eric A. Brewer Michael J. Carey Surajit Chaudhuri AnHai Doan Daniela Florescu Michael J. Franklin Hector Garcia-Molina Johannes Gehrke Le Gruenwald Laura M. Haas Alon Y. Halevy Joseph M. Hellerstein Yannis E. loannidis Hank F. Korth Donald Kossmann Samuel Madden Roger Magoulas Beng Chin Ooi Tim O Reilly Raghu Ramakrishnan Sunita Sarawagi Michael Stonebraker Alexander S. Szalay Gerhard Weikum Abstract In late May 2008 a group of database researchers architects users and pundits met at the Claremont Resort in Berkeley California to discuss the state of the research field and its impacts on practice. This was the seventh meeting of this sort in twenty years and was distinguished by a broad consensus that we are at a turning point in the history of the field due both to an explosion of data and usage scenarios and to major shifts in computing hardware and platforms. Given these forces we are at a time of opportunity for research impact with an unusually large potential for influential results across computing the sciences and society. This report details that discussion and highlights the group s consensus view of new focus areas including new database engine architectures declarative programming languages the interplay of structured and unstructured data cloud data services and mobile and virtual worlds. We also report on discussions of the community s growth including suggestions for changes in community processes to move the research agenda forward and to enhance impact on a broader audience. 1. A Turning Point in Database Research Over the last twenty years small groups of database researchers have periodically gathered to assess the state of the field and propose directions for future research BDD 89 SSU91 ASU95 AZ 96 BBC 98 AAB03 . Reports of these meetings were written to serve various functions to foster debate within the database research community to explain .

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• problems
• preferred management
• style
• four contexts
• offering exam
• leaders realize
• Tutorial Problems
• Fluid Mechanics
• Some fundamental problems
• Present about problems
• Some problems in contrastive descript
• Comparison of performances
• Problems of prediction
• A classification of outcomes
• Fourier analysis
• Boundary value problems
• Theory fourier analysis
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• Orthogonal functions
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• Profitability and market capitalization
• Implementation of IFRS
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• Fouried integrals
• Bessel functions
• Community child health
• Learning difficulties
• Neonatal medicine
• Problems of infection
• Journal of technology and science education
• Collaborative activities for solving multi step problems
• Solving multi step problems in general chemistry
• Solving multi step problems
• The relatve partcipaton of instructor students
• Gambling problems
• Significant others
• Mental health first aid
• Signs of gambling problems
• Gambling Behaviour Checklist
• Behavioural problems
• Tribal children behavioural problems
• Anganwadi children
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• Tribal children attending Anganwadis
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• Prevalence of menopause
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• System vector quasi equilibrium problems
• Fixed point theorem
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• Hausdorff topological vector spaces
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• Math teaching method
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