Database fundamentals(database)

747 views
466 views

Published on

Published in: Engineering, Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
747
On SlideShare
0
From Embeds
0
Number of Embeds
6
Actions
Shares
0
Downloads
20
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Database fundamentals(database)

  1. 1. ISOM3260 Database Design & Administration Dr. Muller Cheung (L1/L2) Dr. James Thong (L3) Office hour: By appointment Email: mcheung@ust.hk; jthong@ust.hk Spring 2014
  2. 2. 2 Today’s Agenda • Introduction to course – ISOM3260 website: http://teaching.ust.hk/~isom3260 – Midterms and Final exam – Group project • Database Fundamentals (Chap. 1)
  3. 3. 3 Conduct in Class • Attend the lab you are enrolled in • Attend the lecture you are enrolled in • Be punctual for lab/lecture • Turn off mobile phones • Do not distract other students or instructor by talking with your friends
  4. 4. 4 How to study for ISOM3260 • Attend lectures – Questions in exams will only include topics covered in lectures • Read the textbook for more information • Review lecture notes/textbook after lecture • Email questions to me or make appointment
  5. 5. 5 What you will learn from this course • Database fundamentals – introduction to database concepts • Database development process – steps to develop a database • Conceptual data modeling – entity-relationship (ER) diagram; enhanced ER • Logical database design – transforming ER diagram into relations; normalization • Physical database design – technical specifications of the database • Database implementation – Structured Query Language (SQL), advanced SQL • Advanced topic – data warehousing; data and database administration
  6. 6. Lecture 1: Database Fundamentals ISOM3260, Spring 2014
  7. 7. 7 Database Fundamentals • Concepts • Disadvantages of file processing systems • The database approach • Advantages of database approach • Costs and risks of database approach • Range of database applications • Components of database environment • Evolution of database systems • Current development
  8. 8. 8 Concepts • Data – stored representations of meaningful objects and events – structured data: numbers, text, dates – unstructured data: images, video, documents • Information – data processed to be useful in decision making – by putting data in a context or summarizing data • Database – an organized collection of logically related data – e.g. automobile repair database contains data on customers, automobiles, and repair history • Metadata – data that describes properties of user data
  9. 9. 9 Figure 1-1a: Data in Context
  10. 10. 10 Figure 1-1b: Summarized data Useful information that managers can use for decision making and interpretation
  11. 11. 11 Table 1-1: Metadata for Class Roster Descriptions of the properties or characteristics of the data, including data types, field sizes, allowable values, and data context
  12. 12. 12 Disadvantages of File Processing • Program-data dependence – all programs maintain metadata for each file they use – change to file structure requires changes to all programs that access the file • Data redundancy (duplication of data) – data changes in one file could cause inconsistencies, compromising data integrity • Limited data sharing – no centralized control of data • Lengthy development times – programmers must design their own file formats • Excessive program maintenance – consume 80% of information systems budget
  13. 13. 13 Figure 1-2: Old file processing systems at Pine Valley Furniture Company Duplicate Data
  14. 14. 14 The Database Approach Database Management System (DBMS) manages data resources like an operating system manages hardware resources Database containing centralized shared data
  15. 15. 15 Advantages of Database Approach • Program-data independence – metadata not stored in programs, so programs do not need to worry about changes to data formats – results in increased productivity of application development and reduced program maintenance • Minimal data redundancy – avoid wasted storage space – leads to increased data integrity/consistency
  16. 16. 16 Advantages of Database Approach • Improved data sharing – different users get different views of the data • Enforcement of standards – naming conventions, data quality standards, and uniform procedures for accessing, updating, and protecting data • Improved data quality – constraints are business rules that cannot be violated by database users – enforced by DBMS • Improved data accessibility and responsiveness – use of structured query language (SQL) – end users without programming experience can easily retrieve data
  17. 17. 17 Costs and Risks of the Database Approach • Requires new, specialized personnel • Installation and management cost and complexity – requires new software and upgrades to hardware and data communications – substantial annual maintenance and support costs • Conversion costs – converting from legacy systems costs money and time • Need for explicit backup and recovery – shared corporate database must be accurate and available at all times • Organizational conflict – agreement on data definitions and ownership, responsibilities for accurate data maintenance – need strong top management support to resolve
  18. 18. 18 Figure 1-3: Segment from enterprise data model (shows the high-level entities and their relationships)
  19. 19. 19 Figure 1-3: Segment from enterprise data model (shows the high-level entities and their relationships) One customer places many orders, but each order is placed by a single customer  One-to-many relationship
  20. 20. 20 Figure 1-3: Segment from enterprise data model (shows the high-level entities and their relationships) One order contains many order lines; each order line is contained in a single order  One-to-many relationship
  21. 21. 21 Figure 1-3: Segment from enterprise data model (shows the high-level entities and their relationships) One product can be in many order lines, each order line refers to a single product  One-to-many relationship
  22. 22. 22 Figure 1-3: Segment from enterprise data model (shows the high-level entities and their relationships) Therefore, one order involves many products and one product is involved in many orders  Many-to-many relationship
  23. 23. 23 Order, Order_Line, Customer, and Product tables Relationships established in special columns that provide links between tables
  24. 24. 24 Range of Database Applications
  25. 25. 25 Typical data from a personal database on a PC, notebook, smartphone
  26. 26. 26 Fig. 1-11: Two-Tier Database with Local Area Network
  27. 27. Enterprise Database Applications • Enterprise Resource Planning (ERP) – business management system that integrates all enterprise functions (e.g., manufacturing, finance, sales, marketing, inventory, accounting, human resources) • Data Warehouse – an integrated decision support system derived from various operational databases 27
  28. 28. 28 An enterprise data warehouse
  29. 29. 29 Components of the Database Environment • Computer-Aided Software Engineering (CASE) Tools – automated tools used to design databases and application programs • Repository – centralized storehouse of metadata • DBMS – software for managing the database • Database – storehouse of the data • Application Programs – software using the data • User Interface – text and graphical displays to users • Data/Database Administrators – personnel responsible for maintaining the database • System Developers – personnel responsible for designing application programs • End Users – people who use the applications and databases
  30. 30. 30 Figure 1-5: Components of the database environment Note: All interactions with the database must go through the DBMS
  31. 31. 31 Evolution of Database Systems
  32. 32. 32 Current Development • Relational DBMS has > 80% market share • Major Database Vendors – Oracle: Oracle 11g, Oracle 12c – IBM: DB2, Informix – Microsoft: MS SQL Server – SAP: Sybase – Teradata: Teradata
  33. 33. 33 Current Development • Overall Market Share in 2012 – Oracle, IBM, and Microsoft dominate the market Source: Gartner, March 2013 Oracle, 48.30% IBM 19.30% Microsoft 18.17% Others 14.23% RDBMS Market Share Oracle IBM Microsoft Others
  34. 34. 34 Current Development • Oracle – strong customer base on enterprise RDBMS market – industry recognition of Oracle 11g and 12c – strong penetration in Linux/Unix platforms • IBM – DB2 dominates mainframe platforms • Microsoft – strong penetration in Windows platform – getting popular particularly with Small and Medium Enterprises • Teradata – emphasis on business intelligence and data warehousing
  35. 35. 35 Review Questions • Differences between data, database, information and metadata • What are the disadvantages of file processing? • What is the database approach? • What are the advantages of the database approach? • What are the costs and risks of the database approach? • What are the range of database applications? • What are the components of the database environment? • What are the popular databases?

×