data 9
Implementation and Loading
Actually implement all design specifications from previous phase: Install the DBMS Virtualization: creates logical representations of computing resources independent of physical resources Create the Database Load or Convert the Data
Centralized vs. Decentralized Design
All modules are integrated into one model Aggregation problems to be addressed: Synonyms and homonyms Entity and entity subtypes Conflicting object definitions
The Information System
Applications Transform data into information that forms basis for decision making Usually produce the following: Formal report Tabulations Graphic displays Composed of the following two parts: Data Code: program instructions
Entity Relationship Modeling and Normalization
Designer enforces standards in design documentation Use of diagrams and symbols, documentation writing style, layout, other conventions Business rules must be incorporated into conceptual model ER model is a communications tool as well as design blueprint
Data Analysis and Requirements
Discover data element characteristics Obtains characteristics from different sources Requires thorough understanding of the company's data types and their extent and uses Take into account business rules Derived from description of operations
Validate the Logical Model against User Requirements
Final step in the logical design process Validate all logical model definitions against all end-user data, transaction, and security requirements
Planning
General overview of company and objectives Assessment of flow-and-extent requirements Should the existing system be continued? Should the existing system be modified? Should the existing system be replaced? Study and evaluate alternate solutions Technical aspects of hardware and software requirements System cost Operational cost
Map the Conceptual Model to the Logical Model
Map the conceptual model to the chosen database constructs Five mapping steps involved: Strong entities Supertype/subtype relationships Weak entities Binary relationships Higher degree relationships
Define Integrity and Security Measures
Define user and security groups and roles Database role: set of database privileges that could be assigned as a unit to a user or group Assign security controls Specific access rights on database objects to a user or group of users Can also revoke during operation to assist with backups or maintenance events
Distributed Database Design
Portions of database may reside in different physical locations Database fragment: subset of a database stored at a given location Processes accessing the database vary from one location to another Designer must also develop data distribution and allocation strategies
Analysis
Problems defined during planning phase are examined in greater detail during analysis Thorough audit of user requirements Existing hardware and software systems are studied Goal: Better understanding of: System's functional areas Actual and potential problems Opportunities
Physical Design
Process of selecting data storage and data access characteristics of database Storage characteristics are a function of: Device types supported by hardware Type of data access methods supported by system DBMS More complex when data are distributed
The Information System
Provides for data collection, storage, and retrieval Composed of: People, hardware, software Database(s), application programs, procedures Systems analysis Process that establishes need for and extent of information system Systems development Process of creating information system
Maintenance and Evolution
Required periodic maintenance: Preventive maintenance (backup) Corrective maintenance (recovery) Adaptive maintenance Assignment of access permissions and their maintenance for new and old users Generation of database access statistics Periodic security audits Periodic system-usage summaries
Maintenance
Three types of maintenance activity: Corrective maintenance Adaptive maintenance Perfective maintenance Computer-aided systems engineering (CASE) Produce better systems within reasonable amount of time and at reasonable cost CASE-produced applications are structured, documented, and standardized
Database Design Strategies
Top-down design Identifies data sets Defines data elements for each of those sets Definition of different entity types Definition of each entity's attributes Bottom-up design Identifies data elements (items) Groups them together in data sets
Conceptual Design
Data modeling creates an abstract database structure Represents real-world objects Embodies clear understanding of business and its functional areas Ensure that all data needed are in model, and that all data in model are needed Requires four steps
Systems Development Life Cycle
Database design and application development mapped out and evaluated Divided into following five phases: Planning Analysis Detailed systems design Implementation Maintenance Iterative rather than sequential process
Centralized vs. Decentralized Design
Centralized design When data component is composed of small number of objects and procedures Typical of small systems Decentralized design Data component has large number of entities Complex relations on which complex operations are performed Problem is spread across several operational sites
DBMS Software Selection
Critical to information system's smooth operation Common factors affecting purchasing decisions: Cost DBMS features and tools Underlying model Portability DBMS hardware requirements
Detailed Systems Design
Designer completes design of system's processes Includes all necessary technical specifications Steps laid out for conversion from old to new system Training principles and methodologies are also planned
Define Data Storage Organization
Designer must determine several attributes: Data volume Data usage patterns These in turn influence: Location and physical storage organization for each table What indexes and the type of indexes to be used for each table What views and the type of views to be used on each table
Implementation
Hardware, DBMS software, and application programs are installed Database design is implemented Cycle of coding, testing, and debugging continues until database is ready for delivery Database is created and system is customized Creation of tables and views User authorizations
Summary
Information system facilitates transformation of data into information Manages both data and information SDLC traces history (life cycle) of an application within the information system DBLC describes history of database within the information system Database design and implementation process moves through series of well-defined stages Conceptual design subject to several variations: Top-down vs. bottom-up Centralized vs. decentralized
Logical Design
Map conceptual design to specific data model Still independent of physical-level details Requires all objects be mapped to specific constructs used by selected database software Definition of attribute domains, design of required tables, and access restriction formats Tables must correspond to entities in conceptual design Translates software-independent conceptual model into software-dependent model
Database Design
Necessary to concentrate on data characteristics required to build database model Two views of data within system: Business view Data as information source Designer's view Data structure, access, and activities required to transform data into information
Testing and Evaluation
Occurs in parallel with applications programming If implementation fails to meet some of system's evaluation criteria: Fine-tune specific system and DBMS configuration parameters Modify physical or logical design Upgrade software and/or hardware platform Integrity Enforced via proper use of primary, foreign key rules Backup and Recovery Full backup Differential backup Transaction log backup
Operation
Once database has passed evaluation stage, it is considered operational Beginning of operational phase starts process of system evolution Problems not foreseen during testing surface Solutions may include: Load-balancing software to distribute transactions among multiple computers Increasing available cache
The Database Initial Study
Overall purpose: Analyze company situation Define problems and constraints Define objectives Define scope and boundaries Interactive and iterative processes required to complete first phase of DBLC successfully Analyze the company situation General conditions in which company operates, its organizational structure, and its mission Discover what company's operational components are, how they function, and how they interact Define problems and constraints Formal and informal information sources Finding precise answers is important Accurate problem definition does not always yield a solution
Determine Performance Measures
Performance can be affected by characteristics: Storage media Seek time Sector and block (page) size And more... Fine-tuning the DBMS and queries to ensure that they will meet end-user performance requirements
The Information System
Performance depends on three factors: Database design and implementation Application design and implementation Administrative procedures Database development Process of database design and implementation Implementation phase includes: Creating database storage structure Loading data into the database Providing for data management
The Database Life Cycle
Six phases: Database initial study Database design Implementation and loading Testing and evaluation Operation Maintenance and evolution
Validate the Logical Model Using Normalization
Translation requires the definition of the attribute domains and appropriate constraints All defined constraints must be supported by the logical data model Special attention should be place at this stage to ensure security is enforced May have to consider security restrictions at multiple locations
