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Traditionally, one would be required to design a rigid database schema as a first step toward developing the new data store.
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Before Oracle came along, corporate data was stored in separate and rigid hierarchical databases that could be interrelated only with costly hand programming.
Before Oracle came along, corporate data would be stored in separate and rigid "hierarchical" databases that could be interrelated only with costly hand programming.
Estimates of wind effects on rigid buildings by database-assisted design (DAD) methods can be far more accurate than those based on information available in standards.
However, whereas the structure of a relational database is very rigid, a wiki can be very flexible.
Abdalla and Chen (1995) expanded the existing database of semi-rigid steel connections and compared the experimental moment-rotation curves with several analytical models describing these curves.
RDF triple stores are thus much better suitable for semistructured data with optional information than relational databases with their rigid table structure.
To grow a block from scratch when gaps are considered, we invoke a procedure called prefix-growth with bounded gaps (C-bounded-prefix-growth). The procedure grows the prefix of a pattern and makes it longer by building and scanning its projected database under the rigid-length gap constraints.
NoSQL databases do not have (rigid) schema structures and can handle de-normalized data.
Relational databases are much more rigid in their schemas and any change to the data schemas require a great deal of refactoring and data migration.
In the next step we refine the alignment between homologues in PALI database, obtained through a recognized rigid body method, using match of protein blocks in the local structurally variable regions.
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