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Manajemen DataManajemen Data

Data Management : Databases & Organization(Richard T. Watson)

Database Design, Application Development andAdministration(Michael V. Mannino)

SOFTWARE PENDUKUNG :

Sybase Power Designer 15.1Oracle 10g XE

PostgreSQL 8.4

Outline PerkuliahanOutline Perkuliahan

1. Overview : mana in data

2. Data modeling I

3. Data modeling II

4. Query formulation5. Case study

.

7. Data processing architectures

8. Data mining

9. Data warehouse

10. Object oriented data management

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Overview :Overview :Managing DataManaging Data

Ref : Chapter 1Ref : Chapter 1Data Management

Databases & Organization

IntroductionIntroduction

Thomas Watson, Jr. Former Chairman of IBM :A t e va ue o t is company is in its peop e. I youburned down all our plants, and we just kept our peopleand our information files, we should soon be as strong asever.

Imagine what would happen to the bank that lost the listwho owed money?

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and addresses of its subsribers?

Both individuals or organizations need to manage theirdata safely and efficiently

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Individual data managementIndividual data management

Internal memor is limitedExternal memory extends internalmemory

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CalendarCalendar

Set amount of space

Ordering

Rapid access

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Address bookAddress book

Pre-formatted storagespace

Ordering

Rapid access

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To do listTo do list

Or anizin rinci les

Structure

Rapid scan support

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Common features of individualCommon features of individual

data managementdata management

There is a storage mediumThere is structure for storing data

The storage is organized for rapid data entryand retrieval

The selection requires a trade-off decision(e.g. portability vs spaciousness)

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Comparison of dataComparison of data

management systemsmanagement systems

InternalSmall

Fast

ConvenientExternal

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Slow

Need to have handy

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Organizational dataOrganizational data

managementmanagement

rgan za ons, e peop e, nee oremember many things

Deciding where and how to store datafrequently involves a trade-off

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variety of information systems

Types of information systemsTypes of information systems

Type of IS System's purpose

TPS Transaction processing system: Collects and stores data from routine

transactions

MIS Management information system: Converts data from a TPS into

information for planning, controlling, and managing an organization

DSS Decision support system: Supports managerial decision making by

providing models for processing and analysing data

EIS Executive information system: Provides senior management with

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,

develop and implement strategies

OLAP Online analytical processing: Presents a multidimensional, logical

view of data

Data

mining

Uses statistical analysis and artificial intelligence techniques to

identify hidden relationships in data

BI Business intelligence: Systems for gathering, storing, analyzing, and

accessing data to improve decision-making

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The information systemsThe information systems

cyclecycle

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Attributes of a dataAttributes of a data

management systemmanagement system

Shareable :readily accessed by more than one person at a time

Transportable :easily moved to a decision maker

Secure :protected from destruction and unauthorized use

Accurate :

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re a e, prec se recor s

Timely:current and up-to-date

Relevant :appropriate to the decision

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Problems with dataProblems with data

management systemsmanagement systems

Redundancy:same data are stored in different systems

Lack of data control :data are poorly managed

Poor interface :data are difficult to access

Delays :

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ere are requen y ong e ays o reques s or a a

Lack of reality:

do not reflect the complexity of the real worldLack of data integration :dispersed across different systems

Data, information & knowledgeData, information & knowledge

Data

Raw, unsummarized, and unanalyzed facts

Information

Data processed into a meaningful formOne person's information can be another's data

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Knowing what information is required

Knowing what the information means

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Data, information & knowledgeData, information & knowledge

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The challengeThe challenge

Or anizations that effectivel use datainformation, and knowledge are moresuccessful

The challenge is to develop data managementand exploitation skills across an organization

Many organizations do not make effective use

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Data management is an enduring problem fornearly all organizations and societies