TAILIEUCHUNG - Grid Database Access and Integration: Requirements and Functionalities

Greenplum’s Polymorphic Data Storage performs well when combined with Greenplum’s multi-level table partitioning. With Polymorphic Data Storage, customers can tune the storage types and compression settings of different partitions within the same table. For example, a single partitioned table could have older data stored as “column-oriented with deep/archival compression,” more recent data as “column-oriented with fast/light compression”, and the most recent data as “read/write optimized” to support fast updates and deletes. advanced Workload Management Using Greenplum Database Advanced Workload Management, administrators have all the control they need to manage complex, high-concurrency, mixed-workload environments and ensure that all query types get their. | Category INFORMATIONAL DAIS-wG Malcolm P Atkinson National e-Science Centre Vijay Dialani University of Southampton Leanne Guy CERN Inderpal Narang IBM Norman W Paton University of Manchester Dave Pearson Oracle Tony Storey IBM Paul Watson University of Newcastle upon Tyne March 13th 2003 Grid Database Access and Integration Requirements and Functionalities Status of This Memo This memo provides information to the Grid community regarding the scope of requirements and functionalities required for accessing and integration data within a Grid environment. It does not define any standards or technical recommendations. Distribution is unlimited. Copyright Notice Copyright Global Grid Forum 2003 . All Rights Reserved. Abstract This document is intended to provide the context for developing Grid data service standard recommendations within the Global Grid Forum. It defines the generic requirements for accessing and integrating persistent structured and semi-structured data. In addition it defines the generic functionalities which a Grid data service needs to provide in supporting discovery of and controlled access to data in performing data manipulation operations and in virtualising data resources. The document also defines the scope of Grid data service standard recommendations which are presented in a separate document. 1 Category INFORMATIONAL DAIS-wG Malcolm P Atkinson National e-Science Centre Vijay Dialani University of Southampton Leanne Guy CERN Inderpal Narang IBM Norman W Paton University of Manchester Dave Pearson Oracle Tony Storey IBM Paul Watson University of Newcastle upon Tyne March 13th 2003 Contents Abstract. 1 1. 2. Overview of Database Access and Integration 3. Requirements for Grid Database Data Sources and Data structure and Data Data Lifecycle Data Access Data

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