Database Design

1. NEWER DATA MODELS AND THE
FUTURE OF DATA MODELS
Prepared By: Anna Roxane La’O

2. NEWER DATA MODELS: OBJECT/RELATIONAL
and XML
Facing the demand to support more complex data
representations , the relational model’s main vendors
evolved the model further and created the extended
relational data model (ERDM).

3.  The ERDM adds many of the Object Oriented model’s
features within the inherently simpler relational
database structure.
 ERDM gave birth to a new generation of relational
databases supporting OO features.

4. OBJECT_RELATIONAL MODEL
 a combination of the Relational Model and the Object
Oriented Model.
 it was a hit but managed to leave developers wanting
more flexibility and capability.
 designed to provide a relational database management
that allows developers to integrate databases with
their data types and methods.
It is essentially a relational model that allows users to
integrate object-oriented features into it.

5. The primary function of this new object-relational model
is to more power, greater flexibility, better performance,
and greater data integrity then those that came before it.
Some of the benefits that are offered by the
Object-Relational Model include:
 extensibility
 complex types
 inheritance

6. XML Data Model
The data model for xml is very simple or
very abstract, depending on one’s point of
view.
Provides no more than a baseline on which
more complex models can be built.

7. The Future of Data Models
 Today the O/R DBMS is the dominant database for
business applications
Its success could be attributed to the model’s conceptual
simplicity, easy-to-use query language , high transaction
performance, high availability, security, scalability and
expandability.

8.  In contrast, the OO DBMS is popular in niche markets
such as computer-aided drawing/computer aided
manufacturing (CAD/CAM),geographic information
systems (GIS), telecommunications and multimedia
which require support for complex objects.
Image courtesy of Louisville/Jefferson County Information Consortium, Kentucky

9. 2 Different Approaches of OO and
Relational Data Models
OO – was created to address very specific engineering needs,
not the wide-ranging needs of general data management
tasks.
Relational model – was created with a focus on better data
management based on a sound mathematical foundation.

10.  One area in which OO concepts have been very influential is
systems development and programming languages.
Most contemporary programming languages are object-
oriented ( Java, Ruby, Perl, C#, .NET, to name a few.
 Also, there is an increasing need to manage an
organization’s unstructured data.

11. Will unstructured data management overcome structured
data management?
 each approach complements and augments the other.
O/R databases have proven to efficiently support
structured and unstructured data management.
Furthermore, history has shown that O/R DBMS are
remarkably adaptable in supporting ever-evolving data
management needs.

12. Examples of Evolution:
 Hybrid DBMSs
- emerging that retain the advantages of the
relational model and at the same time provide programmers
with an object –oriented view of the underlying data.
 SQL data services
- becoming a critical component of relational
database vendor’s internet service strategies.

13. THE END
THANK
YOU!!!