Data Resource Management

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Presentation transcript:

Data Resource Management Chapter 5 Data Resource Management

Learning Objectives Explain the business value of implementing data resource management processes and technologies in an organization. Outline the advantages of a database management approach to managing the data resources of a business, compared to a file processing approach. Explain how database management software helps business professionals and supports the operations and management of a business.

Learning Objectives Provide examples to illustrate each of the following concepts: Major types of databases Data warehouses and data mining Logical data elements Fundamental database structures Database development

Examples of logical data elements FIGURE 5.2 Examples of the logical data elements in information systems. Note especially the examples of how data fields, records, files, and databases are related.

Fundamental Data Concepts Character: single alphabetic, numeric or other symbol Field or data item: a grouping of related characters Represents an attribute (a characteristic or quality) of some entity (object, person, place or event) Example: salary Record: grouping of all the fields used to describe the attributes of an entity Example: payroll record with name, SSN and rate of pay

Fundamental Data Concepts File or table: a group of related records Database: an integrated collection of logically related data elements

Electric Utility Database Figure 5.3 outlines some of the entities and relationships in a database for an electric utility. Also shown are some of the business applications (billing, payment processing) that depend on access to the data elements in the database. Source: Adapted from Michael V. Mannino, Database Application Development and Design (Burr Ridge, IL: McGraw-Hill/Irwin, 2001), p. 6.

Database Structures Hierarchical Network Relational Object-oriented Multidimensional

Hierarchical Structure Early DBMS structure Records arranged in tree- like structure Relationships are one-to- many Access data elements by moving progressively downward from the root and along the branches of the tree

Network Structure Used in some mainframe DBMS packages Many-to-many relationships Any data element can be related to any number of other data elements

Relational Structure Most widely used structure Data elements are viewed as being stored in tables Row represents record Column represents field Can relate data in one file with data in another file if both files share a common data element

Relational Structure

Relational Operations Three basic operations can be performed on a relational database to create useful sets of data. Select: Create a subset of records that meet a stated criterion Example, select employees who make more than $30,000 Join Combine two or more tables temporarily Looks like one big table Project Create a subset of columns in a table Three basic operations on relational databases

Multidimensional Structure Variation of relational model Uses multidimensional structures to organize data Data elements are viewed as being in cubes Popular for analytical databases that support Online Analytical Processing (OLAP) OLAP is used for answers to complex business queries, discussed in detail in chapter 9

Multidimensional Model Figure 5.6 is an example that shows that each dimension can represent a different category, such as product type, region, sales channel, and time [5].

Object-oriented Structure Object consists of Data values describing the attributes of an entity Operations that can be performed on the data Encapsulation: Combine data and operations Inheritance: New objects can be created by replicated some or all of the characteristics of parent objects

Object-oriented Structure Used in Object-oriented database management systems (OODBMS) Supports complex data types Examples, graphic images, video clips, web pages

Evaluation of Database Structures Hierarchical Worked for structured routine transaction processing Can’t handle many-to-many relationships Network More flexible than hierarchical Unable to handle ad hoc requests Relational Easily respond to ad hoc requests Easier to work with and maintain Not as efficient or quick as hierarchical or network Gap in performance between relational and hierarchical and network is rapidly narrowing

Database Development Database Administrator (DBA) In charge of enterprise database development Data Definition Language (DDL) Develop and specify the data contents, relationships and structure These specifications are stored in data dictionary Data dictionary Data base catalog containing metadata Metadata – data about data

Database Development

Data Planning Process Enterprise Model Data Modeling Defines basic business process of the enterprise Defined by DBAs and designers with end users Data Modeling Relationships between data elements Entity Relationship Diagram (ERD) common tool for modeling

Entity Relationship Diagram

Database Design Process Logical design Schema – overall logical view of relationships Subschema – logical view for specific end users Data models for DBMS Physical design How data are to be stored and accessed on storage devices

Logical and Physical Database Views

Data Resource Management Managerial activity Applies IS technologies like data management and data warehousing to manage data resources to meet the information needs of business stakeholders

Types of databases

Operational Databases Store detailed data to support business processes and operations of a company. Examples, customer database, inventory database

Distributed Databases Copies or parts of databases on servers at a variety of locations Challenge: any data change in one location must be made in all other locations Replication: Look at each distributed database and find changes Apply changes to each distributed database Very complex Duplication One database is master Duplicate that database after hours in all locations Easier

External Databases Databases available for a fee from commercial online services or For free from World Wide Web Examples, statistical databanks, bibliographic and full text databases

Hypermedia Database Website database Consists of hyperlinked pages of multimedia (text, graphics, video clips, audio segments)

Data Warehouse Stores data that has been extracted from the operational, external and other databases Data has been cleaned, transformed and cataloged Used by managers and professionals for Data mining, Online analytical processing, Business analysis, Market research, Decision support Data mart is subset of warehouse for specific use of department

Data Warehouse Source: Adapted courtesy of Hewlett-Packard.

Data Mining Data in data warehouse are analyzed to reveal hidden patterns and trends Examples: Perform market-basket analysis to identify new business processes Find root causes to quality problems Cross sell to existing customers Profile customers with more accuracy Discussed in more detail in chapter 9

Traditional File Processing Data stored in independent files Problems: Data redundancy – duplicated data in several files Lack of data integration Data dependence – files, storage devices, and software are dependent on each other Lack of data integrity or standardization Traditional file processing leads to not being able to find data because it’s in multiple files. Or it’s too costly to combine and clean. Data redundancy – duplicated data in several files Data is not integrated across files. Data dependence – software had references to format of data. So maintenance was difficult. Inconsistency across files. Problems resolved with Database Management Approach

Database Management Approach Consolidate data into databases that can be accessed by different programs Use a database management system (DBMS) DBMS serves as interface between users and databases

Database Management Approach

DBMS Major Functions

Database Interrogation End users use a DBMS by asking for information via a query or a report generator Query language – immediate responses to ad hoc data requests SQL (Structured Query Language) an international standard query language Graphical Queries -- Point-and-click methods Natural Queries – similar to conversational English Report generator – quickly specify a report format for information you want printed in a report Database interrogation is major advantage of DBMS approach SQL is pronounced Sequel

Natural Language versus SQL

Graphical Query Source: Courtesy of Microsoft Corp.

Database Maintenance Updating database to reflect new business transactions such as a new sale Done by transaction processing systems with support of DBMS

Application Development Use DBMS software development tools to develop custom application programs Data Manipulation Language (DML)