Database Systems: Design, Implementation, and Management PDF

Database Systems: Design, Implementation, and Management Ninth Edition Chapter 1 Database Systems  Learning outcomes 2 In this chapter, you will learn: ◻ The difference between data and information ◻ What a database is, the various types of datab...

Database Systems: Design, Implementation, and Management Ninth Edition Chapter 1 Database Systems  Learning outcomes 2 In this chapter, you will learn: ◻ The difference between data and information ◻ What a database is, the various types of databases, and why they are valuable assets for decision making ◻ The importance of database design ◻ How modern databases evolved from file systems Database Systems, 9th Edition  Learning outcomes (cont’d.) 3 ◻ About flaws in file system data management ◻ The main components of the database system ◻ The main functions of a database management system (DBMS) Database Systems, 9th Edition  Introduction 4 ◻ Good decisions require good information derived from raw facts/data ◻ Data is managed most efficiently when stored in a database ◻ Databases evolved from computer file systems ◻ Understanding file system characteristics is important Database Systems, 9th Edition  Why Databases? 5 ◻ Databases solve many of the problems encountered in data management Used in almost all modern settings involving data management: Business Research Administration ◻ Important to understand how databases work and interact with other applications Database Systems, 9th Edition  Data vs. Information 6 Database Systems, 9th Edition  Data vs. Information 7 ◻ Data are raw facts ◻ Information is the result of processing raw data to reveal meaning ◻ Information requires context to reveal meaning ◻ Raw data must be formatted for storage, processing, and presentation ◻ Data are the foundation of information, which is the bedrock of knowledge Database Systems, 9th Edition  Data vs. Information (cont’d.) 8 ◻ Data: building blocks of information ◻ Information produced by processing data ◻ Information used to reveal meaning in data ◻ Accurate, relevant, timely information is the key to good decision making ◻ Good decision making is the key to organizational survival Database Systems, 9th Edition  Data vs. Information (cont’d.) 9 ◻ Example the photograph is information. But, what you look like is data Source: http://www.infogineering.net/data-information-knowledge.htm Database Systems, 9th Edition  Data vs. Information (cont’d.) 10 ◻ Example Data: Information You are 5 feet tall You’ve gathered all the data. Next You have brown hair you describe that photograph to You have blue eyes other people. It becomes Etc…. information. Why? You have shared with other people. Database Systems, 9th Edition  Introducing the Database 11 ◻ Database: shared & integrated computer structure that stores a collection of: End-user data: raw facts of interest to end user provided by a data warehouse or the data created by end users for query processing. Metadata: data about data Provides description of data characteristics and relationships in data, OR Provides information about a certain item's content Complements and expands value of data Database Systems, 9th Edition  Introducing the Database 12 ◻ More on Metadata an image may include metadata that describes how large the picture is, the color depth, the image resolution, when the image was created, and other data A text document's metadata may contain information about how long the document is, who the author is, when the document was written, and a short summary of the document Database Systems, 9th Edition  Introducing the Database 13 ◻ More on Metadata Web pages often include metadata in the form of meta tags. Description and keywords meta tags are commonly used to describe the Web page's content. Most search engines use this data when adding pages to their search index Database Systems, 9th Edition  Role and Advantages of the DBMS 14 ◻ Database management system (DBMS): collection of programs Manages structure and controls access to data ◻ DBMS is the intermediary between the user and the database Database structure stored as file collection Can only access files through the DBMS ◻ DBMS enables data to be shared ◻ DBMS integrates many users’ views of the data Database Systems, 9th Edition 15 Database Systems, 9th Edition  Role and Advantages of the DBMS 16 (cont’d.) ◻ Advantages of a DBMS: Improved data sharing Improved data security Better data integration Minimized data inconsistency Improved data access Improved decision making Increased end-user productivity Database Systems, 9th Edition  Types of Databases 17 ◻ Databases can be classified according to: DB classificatio n Users Location Usage Single-User Centralized Operational Distributed/ Multiuser Decentralize Warehouse d Database Systems, 9th Edition  Types of Databases 18 ◻ Users Single-user database supports only one user at a time Desktop database: single-user; runs on PC (locally) E.g. Auto Teller Machine (ATM) Multiuser database supports multiple users at the same time Workgroup and enterprise databases E.g. i-Student Portal, any Web application Database Systems, 9th Edition  Types of Databases (cont’d.) 19 ◻ Location Centralized database: data located at a single site Distributed/Decentralized database: data distributed across several different sites Database Systems, 9th Edition  Types of Databases (cont’d.) 20 ◻ Usage Operational database: supports a company’s day-to-day operations Transactional or production database Data warehouse: stores data used for tactical or strategic decisions Meant for top management for decision making, forecasting, strategic planning Database Systems, 9th Edition  Types of Databases (cont'd.) 21 ◻ Categories of data Structured data data that is identifiable because it is organized in a structure e.g. database Semi-structured data Has structure but not enough to qualify as structured data (Loshin, 2005) e.g. XML Unstructured data No identifiable structure/in original format e.g. bitmap images/objects, text and other data types that are not part of a database Database Systems, 9th Edition  Types of Databases (cont'd.) 22 ◻ Unstructured data exist in their original state ◻ Structured data result from formatting Structure applied based on type of processing to be performed ◻ Semi structured data have been processed to some extent Data may have certain structure but not all information collected has identical structure Some attributes may exist in some of the entities of a particular type but not in others Extensible Markup Language (XML) represents data elements in textual format XML database supports semistructured XML data Database Systems, 9th Edition 23 Database Systems, 9th Edition  Why Database Design Is Important 24 ◻ Database design focuses on design of database structure used for end-user data (= what?) Designer must identify database’s expected use ◻ Well-designed database: Facilitates data management Generates accurate and valuable information ◻ Poorly designed database: Causes difficult-to-trace errors Database Systems, 9th Edition  Evolution of File System Data 25 Processing ◻ Reasons for studying file systems/filesystems: Complexity of database design is easier to understand Understanding file system problems helps to avoid problems with DBMS systems Knowledge of file system is useful for converting file system to database system ◻ File systems typically composed of collection of file folders, each tagged and kept in cabinet Organized by expected use Database Systems, 9th Edition  Evolution of File System Data 26 Processing Manual Computer File File Database Systems Systems IBM DB2/ MS EXCEL DBMS Database Systems, 9th Edition  Evolution of File System Data 27 Processing Physical Conceptual/logical Database Systems, 9th Edition  Evolution of File System Data 28 Processing (cont'd.) ◻ Contents of each file folder are logically related ◻ Manual systems (current file systems) Served as a data repository for small data collections Cumbersome for large collections ◻ Computerized file systems Data processing (DP) specialist (special position) converted computer file structure from manual system Wrote software that managed the data Designed the application programs to generate reports Database Systems, 9th Edition  Evolution of File System Data 29 Processing (cont'd.) ◻ Initially, computer file systems resembled manual systems ◻ As number of files increased, file systems evolved Each file used its own application program to store, retrieve, and modify data Each file was owned by individual or department that commissioned its creation Database Systems, 9th Edition  Typical computer file systems 30 Database Systems, 9th Edition 31 Database Systems, 9th Edition 32 Database Systems, 9th Edition  ◻ Another example: Sales application programs Contracts application programs 33 Database Systems, 9th Edition 34 Database Systems, 9th Edition  Problems with File System Data 35 Processing ◻ File systems were an improvement over manual system File systems used for more than two decades Understanding the shortcomings of file systems aids in development of modern databases Many problems not unique to file systems ◻ Even simple file system retrieval task required extensive programming Ad hoc queries impossible Changing existing structure difficult Database Systems, 9th Edition  Problems with File System Data 36 Processing (cont'd.) ◻ Security features difficult to program Often omitted in file system environments ◻ Summary of file system limitations: Requires extensive programming Cannot perform ad hoc queries System administration is complex and difficult Difficult to make changes to existing structures Security features are likely to be inadequate Database Systems, 9th Edition  Structural and Data Dependence 37 ◻ Structural dependence: changes in the database structure affect DBMS ability to access data. All file system programs must be modified to conform to a new file structure E.g. filesystems, adding new field/attribute ◻ Structural independence: changes in the database structure DO NOT affect DBMS ability to access data. Database Systems, 9th Edition  Structural and Data Dependence 38 (cont'd.) Customer Structural Dependent Customer_no Customer_name Customer_phone An attribute Customer_address Customer_email has been added to Customer Customer file. Therefore, you have Customer_no to modify your data Customer_name Customer_phone retrieval program. Customer_address Customer_email New ! Database Systems, 9th Edition  Structural and Data Dependence 39 (cont'd.) ◻ Data dependence: data access changes when data storage characteristics change Data is represented/embedded in the source code for the programs ◻ Data independence: changes on data storage characteristics do not affect data access Data and programs are separated Database Systems, 9th Edition  Structural and Data Dependence 40 (cont'd.) Data independent It allows the database to be structurally changed without affecting most existing programs. In this case, we can assign value of limit dynamically (user input). Database Systems, 9th Edition  Structural and Data Dependence 41 (cont'd.) You have this… float salary = 5000, allowances = 1100; float totalsalary = 0; totalsalary = salary + allowances; Now, make it dynamic. So, user can enter any values for salary and allowances. How? coutsalary; coutallowances; Database Systems, 9th Edition  Structural and Data Dependence 42 (cont'd.) ◻ Practical significance of data dependence is difference between logical and physical format ◻ Logical data format: how human views the data ◻ Physical data format: how computer must work with data ◻ Each program must contain: Lines specifying opening of specific file type Record specification Field definitions Database Systems, 9th Edition  Data Redundancy 43 ◻ File system structure makes it difficult to combine data from multiple sources Vulnerable to security breaches ◻ Organizational structure promotes storage of same data in different locations Islands of information ◻ Similar Data stored in different locations is unlikely to be updated consistently ◻ Data redundancy: same data stored unnecessarily in different places/tables/entities Database Systems, 9th Edition  Data Redundancy (cont'd.) 44 ◻ Data inconsistency: different and conflicting versions of same data occur at different places Table: Customer Table: Agent Database Systems, 9th Edition  Data Redundancy (cont'd.) 45 ◻ Data anomalies: abnormalities when all changes in redundant data are not made correctly Update anomalies: E.g. what if client changes his phone number? Insertion anomalies: E.g. to add new property without adding its owner Deletion anomalies: E.g. what if client’s record is to be removed from the system? Database Systems, 9th Edition  Data Redundancy (cont'd.) 46 ◻ Refer to Slide 43 (slide 37 for old version) ◻ Update anomaly. If agent Vishal has a new phone number, that number must be entered in each of the CUSTOMER file records. In this case, only three changes must be made. In a large file system, such changes might occur in hundreds or even thousands of records. ◻ Insertion anomaly. If only the CUSTOMER file exists, to add a new agent, you would also add a dummy customer data entry to reflect the new agent’s addition. ◻ Deletion anomaly. If you delete the customers Amit, Naresh and Bhavik, you will also delete Vishal’s agent data. Clearly this isDatabase not desirable. Systems, 9th Edition  Lack of Design and Data-Modeling 47 Skills ◻ Most users lack the skill to properly design databases, despite multiple personal productivity tools being available ◻ Data-modeling skills are vital in the data design process ◻ Good data modeling facilitates communication between the designer, user, and the developer Database Systems, 9th Edition  Database Systems 48 ◻ Database system consists of logically related data stored in a single logical data repository May be physically distributed among multiple storage facilities DBMS eliminates most of file system’s problems Current generation stores data structures, relationships between structures, and access paths Also defines, stores, and manages all access paths and components Database Systems, 9th Edition 49 Database Systems, 9th Edition  The Database System Environment 50 ◻ Database system: an organization of components that defines and regulates the collection, storage, management, use of data data hardware software procedure people bridge machine components human components Database Systems, 9th Edition 51 Database Systems, 9th Edition  The Database System Environment 52 (cont'd.) ◻ Hardware: all the system’s physical devices PC, Workstation, Server, Mainframe, Supercomputer ◻ Software: three types of software required: Operating system software DBMS software: IBM DB2, Oracle, MySQL, etc Application programs and utility software Database Systems, 9th Edition  The Database System Environment 53 (cont'd.) ◻ Data: the collection of facts stored in the database ◻ People: all users of the database system System and database administrators Database designers Systems analysts and programmers End users ◻ Procedures: instructions and rules that govern the design and use of the database system Database Systems, 9th Edition  The Database System Environment 54 (cont'd.) ◻ Database systems are created and managed at different levels of complexity ◻ Database solutions must be cost-effective as well as tactically and strategically effective ◻ Database technology already in use affects selection of a database system Database Systems, 9th Edition  The Database System Environment 55 (cont'd.) ◻ File Systems ◻ DBMS Sales application Sales application programs programs Contracts application programs Contracts application programs Database Systems, 9th Edition  The Database System Environment 56 (cont'd.)  DBMS Functions 57 ◻ Most functions are transparent to end users Can only be achieved through the DBMS ◻ Data dictionary management DBMS stores definitions of data elements and relationships (metadata) in a data dictionary DBMS looks up required data component structures and relationships Changes automatically recorded in the dictionary DBMS provides data abstraction and removes structural and data dependency Database Systems, 9th Edition 58 Database Systems, 9th Edition 59 Database Systems, 9th Edition  DBMS Functions (cont'd.) 60 ◻ Data storage management DBMS creates and manages complex structures required for data storage Also stores related data entry forms, screen definitions, report definitions, etc. Performance tuning: activities that make the database perform more efficiently DBMS stores the database in multiple physical data files Database Systems, 9th Edition 61 Database Systems, 9th Edition 62 Database Systems, 9th Edition  DBMS Functions (cont'd.) 63 ◻ Data transformation and presentation DBMS transforms data entered to conform to required data structures DBMS transforms physically retrieved data to conform to user’s logical expectations ◻ Security management DBMS creates a security system that enforces user security and data privacy Security rules determine which users can access the database, which items can be accessed, etc. Database Systems, 9th Edition  DBMS Functions (cont'd.) 64 ◻ Multiuser access control DBMS uses sophisticated algorithms to ensure concurrent access does not affect integrity ◻ Backup and recovery management DBMS provides backup and data recovery to ensure data safety and integrity Recovery management deals with recovery of database after a failure Critical to preserving database’s integrity Database Systems, 9th Edition  DBMS Functions (cont'd.) 65 ◻ Data integrity management DBMS promotes and enforces integrity rules Minimizes redundancy Maximizes consistency Data relationships stored in data dictionary used to enforce data integrity Integrity is especially important in transaction-oriented database systems CASCADE & FOREIGN KEY commands Database Systems, 9th Edition  DBMS Functions (cont'd.) 66 ◻ Database access languages and application programming interfaces DBMS provides access through a query language Query language is a nonprocedural language Structured Query Language (SQL) is the de facto query language Standard supported by majority of DBMS vendors Database Systems, 9th Edition  DBMS Functions (cont'd.) 67 ◻ Database communication interfaces Current DBMSs accept end-user requests via multiple different network environments Communications accomplished in several ways: End users generate answers to queries by filling in screen forms through Web browser DBMS automatically publishes predefined reports on a Web site DBMS connects to third-party systems to distribute information via e-mail Database Systems, 9th Edition  Managing the Database System: 68 A Shift in Focus ◻ Database system provides a framework in which strict procedures and standards enforced Role of human changes from programming to managing organization’s resources ◻ Database system enables more sophisticated use of the data ◻ Data structures created within the database and their relationships determine effectiveness Database Systems, 9th Edition  Managing the Database System: 69 A Shift in Focus (cont'd.) ◻ Disadvantages of database systems: Increased costs: hardware, software Management complexity: data safety, data security, manage resistance, company’s goals, etc Maintaining currency: keep your system up-to-date Vendor dependence Frequent upgrade/replacement cycles: upgrading cost, training, compatibility issues, Database Systems, 9th Edition  Summary 70 ◻ Data are raw facts ◻ Information is the result of processing data to reveal its meaning ◻ Accurate, relevant, and timely information is the key to good decision making ◻ Data are usually stored in a database ◻ DBMS implements a database and manages its contents Database Systems, 9th Edition  Summary (cont'd.) 71 ◻ Metadata is data about data ◻ Database design defines the database structure Well-designed database facilitates data management and generates valuable information Poorly designed database leads to bad decision making and organizational failure ◻ Databases evolved from manual and computerized file systems Database Systems, 9th Edition  Summary (cont'd.) 72 ◻ In a file system, data stored in independent files Each requires its own management program ◻ Some limitations of file system data management: Requires extensive programming System administration is complex and difficult Changing existing structures is difficult Security features are likely inadequate Independent files tend to contain redundant data Structural and data dependency problems Database Systems, 9th Edition  Summary (cont'd.) 73 ◻ Database management systems were developed to address file system’s inherent weaknesses ◻ DBMS present database to end user as single repository Promotes data sharing Eliminates islands of information ◻ DBMS enforces data integrity, eliminates redundancy, and promotes security Database Systems, 9th Edition  Simple Case Study 74 Database Systems, 9th Edition  ITS232 Projects 75 ◻ Flight Reservation Management Database ◻ Library Management Database – Book Reservation ◻ Food Ordering Database for Restaurant ◻ Hotel Reservation Management Database ◻ Cinema Ticketing Database ◻ Futsal Court Reservation Database ◻ Complaint Database Database Systems, 9th Edition