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Eric Brewer 2006-08-12 21:35:22 +00:00
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@ -228,9 +228,9 @@ database systems and research projects for at least 25 years.
Database systems are often thought of in terms of the high-level Database systems are often thought of in terms of the high-level
abstractions they present. For instance, relational database systems abstractions they present. For instance, relational database systems
implement the relational model~\cite{codd}, object oriented implement the relational model~\cite{codd}, object-oriented
databases implement object abstractions, XML databases implement databases implement object abstractions \eab{[?]}, XML databases implement
hierarchical datasets, and so on. Before the relational model, hierarchical datasets~\eab{[?]}, and so on. Before the relational model,
navigational databases implemented pointer- and record-based data models. navigational databases implemented pointer- and record-based data models.
An early survey of database implementations sought to enumerate the An early survey of database implementations sought to enumerate the
@ -257,7 +257,7 @@ transactions (OLTP), the physical model would probably translate sets
of tuples into an on-disk B-Tree. In contrast, if the database needed of tuples into an on-disk B-Tree. In contrast, if the database needed
to support long-running, read only aggregation queries (OLAP) over high to support long-running, read only aggregation queries (OLAP) over high
dimensional data, a physical model that stores the data in a sparse array format would dimensional data, a physical model that stores the data in a sparse array format would
be more appropriate~\cite{molap}. While both OLTP and OLAP databases are based be more appropriate~\cite{molap}. Although both OLTP and OLAP databases are based
upon the relational model they make use of different physical models upon the relational model they make use of different physical models
in order to serve different classes of applications.} in order to serve different classes of applications.}