Management Information Systems, Sixth Edition - PowerPoint PPT Presentation

1 / 40
About This Presentation
Title:

Management Information Systems, Sixth Edition

Description:

Management Information Systems, Sixth Edition Chapter 7: Databases and Data Warehouses * * * * * * * * * * * * * * * * * Management Information Systems, Sixth Edition ... – PowerPoint PPT presentation

Number of Views:385
Avg rating:3.0/5.0
Slides: 41
Provided by: cobUntEd4
Category:

less

Transcript and Presenter's Notes

Title: Management Information Systems, Sixth Edition


1
Management Information Systems, Sixth Edition
  • Chapter 7
  • Databases and Data Warehouses

2
Objectives
  • Explain the difference between traditional file
    organization and the database approach to
    managing digital data
  • Explain how relational and object-oriented
    database management systems are used to construct
    databases, populate them with data, and
    manipulate the data to produce information
  • Enumerate the most important features and
    operations of a relational database, the most
    popular database model

3
Objectives (continued)
  • Understand how data modeling and design creates a
    conceptual blueprint of a database
  • Discuss how databases are used on the Web
  • List the operations involved in transferring data
    from transactional databases to data warehouses

4
Managing Digital Data
  • Businesses collect and dissect data for many
    purposes
  • Data can be stored in database format
  • Easy access and manipulation
  • Databases have had a profound impact on business
  • An information industry has been created
  • Database technology integrated with the Internet
    has contributed to commerce significantly

5
The Traditional File Approach
  • Traditional file approach no mechanism for
    tagging, retrieving, or manipulating data
  • Database approach provides powerful mechanism
    for managing and manipulating data
  • Traditional approach is inconvenient
  • Program-data dependency
  • High data redundancy
  • Low data integrity
  • Data redundancy duplication of data
  • Data integrity accuracy of data

6
The Traditional File Approach (continued)
7
The Database Approach
  • Database approach data organized as entities
  • Entity an object about which an organization
    chooses to collect data, such as
  • People
  • Events
  • Products
  • Character smallest piece of data
  • A single letter or a digit
  • Field single piece of information about entity

8
The Database Approach (continued)
  • Record collection of related fields
  • File collection of related records
  • Database fields can hold images, sounds, video
    clips, etc.
  • Field name allows easy access to the data
  • Database management system (DBMS) program used
    to
  • Build databases
  • Populate a database with data
  • Manipulate data in a database

9
(No Transcript)
10
(No Transcript)
11
The Database Approach (continued)
  • Query a message to the database requesting data
    from specific records and/or fields
  • Database must be properly secured
  • Not everyone should have access to all data
  • Users will have different views of the database,
    based on the data they are allowed to see

12
The Database Approach (continued)
  • Database administrator (DBA) the person
    responsible for managing the database
  • Sets user limits for access to data in the
    database
  • DBMS is usually bundled with a programming
    language

Management Information Systems, Sixth Edition
12
13
(No Transcript)
14
(No Transcript)
15
Database Models
  • Database model general logical structure
  • How records stored in the database
  • How relationships between records are established
  • Database models differ in
  • How records are linked to each other
  • How users can navigate the database, retrieve
    records, and create records

16
The Relational Model
  • Relational Model consists of tables
  • Based on relational algebra
  • Tuple record (or row)
  • Attribute field (or column)
  • Relation table of records
  • To design a relational database, you must
    understand the entities to be stored in the
    database and how they relate
  • Tables are independent of each other, but can be
    related to each other

17
The Relational Model (continued)
  • Key a field whose values identify records
  • Used to retrieve records
  • Primary key a field by which records are
    uniquely identified
  • Each record in the table must have a unique key
    value
  • Composite key combination of fields that serve
    as a primary key

18
(No Transcript)
19
The Relational Model (continued)
20
The Relational Model (continued)
  • Foreign key a field that is common to two tables
  • Used to link the tables
  • This field is a primary key in one table and a
    foreign key in the other
  • Join table composite of tables
  • Two types of table relationships
  • One-to-many relationship one item in a table is
    linked to many items in the other table
  • Many-to-many relationship many items in a table
    are linked to many items of the other table

21
The Object-Oriented Model
  • Object-oriented database model uses
    object-oriented approach for the database
    structure
  • Encapsulation combined storage of data and
    relevant procedures to process it
  • Allows object to be planted in different data
    sets
  • Inheritance the ability to create a new object
    by replicating the characteristics of an existing
    (parent) object
  • Object-oriented databases (ODBs) store data
    objects, not records

22
(No Transcript)
23
Relational Operations
  • Relational operation creates a temporary subset
    of a table or tables
  • Used to create a limited list or a joined table
    list
  • Three important relational operations
  • Select a selection of records based on
    conditions
  • Project a selection of certain columns from a
    table
  • Join join data from multiple tables to create a
    temporary table

24
Structured Query Language
  • Structured Query Language (SQL) query language
    of choice for DBMSs
  • Advantages of SQL
  • It is an international standard
  • It is provided with most relational DBMSs
  • It has easy-to-remember, intuitive commands

25
The Schema and Metadata
  • Schema a plan that describes the structure of
    the database, including
  • Names and sizes of fields
  • Identification of primary keys
  • Relationships
  • Data dictionary a repository of information
    about the data and its organization
  • Also called metadata the data about the data

26
The Schema and Metadata (continued)
  • Metadata includes
  • Source of the data
  • Tables related to the data
  • Field and index information
  • Programs and processes that use the data
  • Population rules what is inserted, or updated,
    and how often

27
(No Transcript)
28
Data Modeling
  • Databases must be carefully planned and designed
    to meet business goals
  • Data modeling analysis of an organizations data
    and identification of the data relationships
  • A proactive process
  • Develops a conceptual blueprint of the database
  • Entity relationship diagram a graphical
    representation of all entity relationships

29
Data Modeling (continued)
  • Entity relationship diagram is composed of
  • Boxes identify entities
  • Lines indicate relationship between entities
  • Crossbars indicate mandatory fields
  • Circles indicate optional
  • Crows feet identify many

30
Data Modeling (continued)
31
Data Modeling (continued)
32
Databases on the Web
  • Web is dependent on databases
  • Organizations must link their databases to the
    Web
  • Interface between Web and database required
  • Interface may be programmed in one of several Web
    programming languages, including
  • Java servlets
  • Active server pages (ASP)
  • PHP (Hypertext Preprocessor)
  • Web application program interfaces (APIs)

33
Databases on the Web (continued)
34
Data Warehousing
  • Most data collections are used for transactions
  • Accumulation of transaction data is useful
  • Data warehouse a large repository database that
    supports management decision making
  • Typically relational
  • Data is collected from transactional databases
  • Data mart a smaller collection of data focusing
    on a particular subject or department

35
From Database to Data Warehouse
  • Transactional databases are not suitable for
    business analysis
  • Contain only current, not historical data
  • Data warehouse requires large storage capacity
  • Mainframe computers are often used
  • Scalability is an issue
  • Data warehouses grow continually

36
Phases in Data Warehousing
  • Three phases in transferring data from a
    transactional database to a data warehouse
  • Extraction phase create files from transactional
    database
  • Transformation phase cleanse and modify the data
    format
  • Loading phase transfer files to data warehouse
  • A properly built data warehouse becomes a single
    source for all data required for analysis
  • Data mining and online analytical processing
    (OLAP) use data in data warehouses

37
(No Transcript)
38
Summary
  • Organizations collect vast amounts of data
  • Database approach has several advantages over
    traditional file approach
  • Character smallest piece of data
  • Field made up of multiple characters
  • Record collection of related fields
  • File collection of related records
  • Database management system (DBMS) tool to
    construct databases

39
Summary (continued)
  • Relational and object-oriented database models
    have different advantages
  • Keys are used to form links among entities
  • Primary keys are unique identifiers
  • Object-oriented database maintains objects that
    contain data and procedures that process it
  • Structured Query Language (SQL) is an
    international standard for querying databases
  • Database designer must construct a schema to
    construct a database

40
Summary (continued)
  • Database designers conduct data modeling and
    create entity relationship diagrams to plan
    databases
  • Many databases are linked to Web
  • Data warehouses contain huge collections of
    historical transaction data
  • Data warehouse requires data extraction,
    transformation, and loading of transactional data
  • Invasion of privacy is exacerbated by database
    technology
Write a Comment
User Comments (0)
About PowerShow.com