1. Never have to re-org data or index space
2. Never have to create Unix logins to match database logins
3. Never have to pre-allocate table/index space, format the partitions
4. Never have to pre-prepare data for loading (convert, sort, split, etc)
5. Never have to 'tune buffer' space
6. Never have to insure queries run in parallel
7. Never have to change the environment as the data grows
8. Never have to unload/reload data spaces due to expansion
9. Never have to design, implement and support physical partition schemes.
10. Never have to write programs to figure out how to divide up the data into partitions.
11. Never have to write or run programs to split the input data into partitions for loading
12. Never have to setup High Availability features (built-in)
2. Never have to create Unix logins to match database logins
3. Never have to pre-allocate table/index space, format the partitions
4. Never have to pre-prepare data for loading (convert, sort, split, etc)
5. Never have to 'tune buffer' space
6. Never have to insure queries run in parallel
7. Never have to change the environment as the data grows
8. Never have to unload/reload data spaces due to expansion
9. Never have to design, implement and support physical partition schemes.
10. Never have to write programs to figure out how to divide up the data into partitions.
11. Never have to write or run programs to split the input data into partitions for loading
12. Never have to setup High Availability features (built-in)
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