Database Reference
In-Depth Information
relational databases. Motivations for this approach include simplicity
of design, horizontal scaling, and finer control over availability. NoSQL
databases are often highly optimized key-value stores intended primar-
ily for simple retrieval and appending operations, whereas an RDBMS is
intended as a general purpose data store. There will thus be some opera-
tions where NoSQL is faster and some where an RDBMS is faster. NoSQL
databases are finding significant and growing industry use in big-data and
real-time web applications. MySQL, on the other hand, is the world's most
popular open-source database, enabling the cost-effective delivery of reli-
able, high-performance, and scalable web-based and embedded database
applications.
Rdb was originally created by Digital Equipment Corporation (DEC) in
1984 as part of the VMS Information Architecture, intended to be used for
data storage and retrieval by high-level languages and/or other DEC prod-
ucts such as DATATRIEVE, RALLY, and TEAMDATA. The original name
was Rdb/VMS. In 1994, DEC sold the Rdb division to Oracle Corporation,
where it was rebranded Oracle Rdb. Oracle is still offering this product,
although Oracle Database products get the lion's share of Oracle's adver-
tising budget. It currently runs on OpenVMS for VAX, Alpha, and IA-64
(Itanium). Rdb featured one of the first cost-based optimizers, and after
acquisition, Oracle introduced a cost-based optimizer in its regular Oracle
RDBMS product.
ORACLE AND DATA MANAGEMENT
Oracle recognizes the need for sophisticated data management capabili-
ties. Their Oracle Hyperion Data Relationship Management helps proac-
tively manage changes in master data across operational, analytical, and
enterprise performance-management silos. Users may make changes in
their departmental perspectives while ensuring conformance to enterprise
standards. Oracle Enterprise Data Quality delivers a complete, best-of-
breed approach to party and product data, resulting in trustworthy master
data that integrates with applications to improve business insight. Both of
these products are part of Oracle's Master Data Management (MDM) suite
of tools, as shown in Table 6.2.
At a basic level, MDM seeks to ensure that an organization does not
use multiple (potentially inconsistent) versions of the same master data in
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