Specialized Database

Antony Biagianti DBM/384

December 22, 2014Brando Sumayao

StudySummary

Database MatrixDatabases Purposes Similarities Differences

Relational A set of tables that store

related information.

• Reduced application development

time

• Data independence

• Uniform data administration

• Declarative query languages

• Data integrity and security

• Relational data model.

• constraints that enforce data integrity.

• Ad hoc relationship can also be used.

• Normalized to eliminate data replication

Specialty An extended relational

model database that

support complex

multidimensional data

• Relational schemas

• Use of Keys

• Use of indexes

• Join operations

• Querying process

• High protection

• Object-relational model

• Complex data types

• Composite attributes

• Constructor functions

• Self-referential attribute

Parallel Originated to run

multiple instances that

share a single physical

database

• Querying

• Data Integration

• Data Sharing

• Security

• Designed for large storage

• Executes tasks concurrently on several

nodes

• Task Synchronization

• Sharing of resources.

• Uses Speedup and Scaleup

Distributed Collections of data in the

database can be

distributed across

multiple physical

locations.

• Relational Schemas

• Uses Tables

• Use of Keys

• Use of Indexes

• Querying Process

• Denormalized

• Duplicate Data

• Optimized for Queries

• Subject Oriented

• Multiple Data Feeds

• Complex Queries

Data

Warehouse

Designed to analyze data

typically historical in

nature that can be used by

businesses to project

trending in such areas as

sales, productivity, and

expenditures.

• Relational Schemas

• Uses Tables

• Use of Keys

• Use of Indexes

• Querying Process

• Denormalized

• Duplicate Data

• Optimized for Queries

• Subject Oriented

• Multiple Data Feeds

• Non-Volatile

SQL ConceptsSQL Concept Spatial Temporal Business Use

PostgreSQLGiST (Generalized Search

Tree) index is a balanced

tree-structured method that

performance enhancing

indices can be built on to

support spatial data.

Uses basic SQL date/time

functions which returns

start time using current

statements.

• Government

• Finance

• Corporations

• Gaming

OracleAn Oracle database is data

that is treated as one unit.

Oracle Database 12c

supports the Temporal

database feature which

was introduced in ANSI

SQL:2011.

• HR/Payroll

• Access cash management and operational

effectiveness of the payable department.

• Identify profitable customers.

• Manager monetary performance in multiple

locations.

IBM DB2 IBM DB2 is a database of

choice because it has

enterprise-wide solutions for

handling high-volume

workloads.

SQL compatibility

minimizes the cost and

risk of moving legacy

apps built for Oracle

DB2. Uses pureXML for

storage, processing, and

management of XML

data.

• DB2 for Linus, Unix and Windows

• DB2 Connect (connects desktop and palm-top

apps to the mainframe and minicomputer host

databases.

• Optimized for SOA, CRM and data

warehousing.

MS SQL

Server

MS SQL’s approach is to

store data as two types;

Geometry is stored as planar

or flat earth data comprised

of x-y coordinates

representing two

dimensional points, lines and

polygons on the earth as a

flat surface.

The new ANSI/ISO

standard allows SQL

server to maintain a

higher degree of time

date accuracy. This

higher degree of accuracy

lends to the temporal

capabilities of MS SQL

Server

• Business uses for MS SQL server include

most Microsoft applications.

• For Financial applications there is Microsoft

Great Plains/Dynamics.

• Customer relations management or MS CRM

uses a SQL backend as does MS SharePoint

TEMPORAL

SPATIAL

INFORMATION RETRIEVAL

OLTP

OLAP

Knowledge Management

KM

Identify

Capture

EvaluateRetrieve

Share

Strive to hit the mark!

Conclusion

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http://www.slideshare.net/andrew_bashfield/oracle-spatial-databases-1677284

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http://www.dbanotes.com/oracle-database/oracle-12c-temporal-database/

Frakes, William B. (1992). Information Retrieval Data Structures and Algorithms. Prentice-Hall, Inc. ISBN 0-13-463837-9.

Koenig, D, E, M. (2012). What is KM? Knowledge Management explained. Retrieved from

http://www.kmworld.com/Articles/Editorial/What-Is-.../What-is-KM-Knowledge-Management-Explained-82405.aspx

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query-language/

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analytical-processing-olap

Tutorialspoint, (2014). PostgreSQL - DATE/TIME Functions and Operators. Retrieved from

http://www.tutorialspoint.com/postgresql/postgresql_date_time.htm

Obe, R. & Hsu, L. (2010 July 7). PostGIS in Action. Retrieved from

http://www.manning.com/obe/PostGIS_MEAPCH01.pdf