Database Features Lecture 2

Desirable features in an information system Integrity Referential integrity Data independence Controlled redundancy Security Privacy

Integrity Valid and consistent stored data –If there is a rule that a schoolchild should be between 4 and 18 years old, is the rule: 4<age<18 or 4<=age<18 or 4<=age<=18 or 4<age<=18? –By keeping the rule with the data definition, this ensures integrity.

Referential integrity Data has referential integrity if it is valid in its own right and valid in relation to another occurrence. E.g. a student is not a student unless he/she is studying a course The course listed against the student must exist. –Master : detail relationship –Implemented through Foreign Keys.

Data independence This is where the data is independent of the program that uses it: –E.g. Select stock_code from stock; –This will work, regardless of the definition of the table stock, unless You have no access to the table stock There is no column ‘stock_code’ in the table stock –This allows us to change the front layers of software without changing the tables The tables without changing the front layers (some recompilation may be required)

Controlled redundancy –Redundant data causes problems E.g. staff details – addresses and phone numbers, If recorded separately for payroll and human resources, then when one is changed, the other is not. Bank accounts and credit card accounts. –NO redundancy causes problems One server goes down, there is no other server In order to retrieve information, a traversal of three tables is required – inefficient.

Security From theft and fraud Loss of confidentiality DBMS controls: –Granting of different privileges to different users You will have SELECT access to the tables in the BUILDER schema. You have owner access to your own Schema and to your team schema. You may grant and revoke access to your tables to others in your class. –Backup and Recovery –Journalling –Commit and Rollback –Encryption

Privacy Can be maintained through: –Use of views E.g. although the staff table shows full details of –Salary –Direct payments to family members –Loan repayments, etc. The person in charge of the staff roster only sees: Name, rank, qualifications, free slots (probably a different table)

Database definition a computerised record-keeping system used by a range of users who have different requirements –minimal enquiries –in-depth updating –restructuring A well-implemented database will have data integrity, data independence, controlled redundancy, security and privacy, for all users.

Uses of a Database Generally used for on-line transaction processing (OLTP) Data Warehouses are a hybrid of databases which are used for On-line analytical processing (OLAP)

File systems Predecessors of Database Systems File types: –Sequential or serial Suitable for use on a serial medium – e.g. a tape. Access is determined by the ‘position’ of the reader on the serial file or tape. No sharing. –Indexed sequential Closest in form to relational databases Can be used to implement relational databases, but all of the DBMS features must be programmed in. –Relative Based on the offset of the record from the start of the file. Field values are not involved in keys.

File systems Sequential or serial Indexed sequential Relative

Database definition a computerised record-keeping system used by a range of users who have different requirements –minimal enquiries –in-depth updating –restructuring A well-implemented database will have data integrity, data independence, controlled redundancy, security and privacy, for all users.

Uses of a Database Generally used for on-line transaction processing (OLTP) Data Warehouses are a hybrid of databases which are used for On-line analytical processing (OLAP)

Structure of a database External Schema Conceptual Schema Internal Schema Physical Schema

External level Level visible to user Multiple views of the system –e.g. View an order - see limited product and customer information Only the database Administrator may access the whole database at this level

EXTERNAL SCHEMA Each external view is defined by means of an external schema Provides definitions of each external view. Written in a Data Definition Language individual to the user accessed through a 3GL, a query language or a special purpose forms or menu-based language

Conceptual level CONCEPTUAL - represents the entire information content of the database Consists of multiple types of conceptual record. This level preserves the data independence of the database. CONCEPTUAL SCHEMA - defines each of the various types of conceptual record, in a conceptual Data Definition Language.

Internal level INTERNAL - a low-level representation of the entire database; it consists of multiple occurrences of multiple types of internal record. It is the stored record, inasmuch as it contains all but the device-specific information on the storage of the database. PHYSICAL - the physical device and block addresses for each of the records.

Mappings Each level maps onto adjoining levels conceptual / internal mapping specifies how conceptual records and fields are represented at the internal level Changes can be made in the internal level without affecting the conceptual level external / conceptual mapping defines the correspondence between an external view and the conceptual view

DBMS - Database Management System software handling access to the database allows both the database administrator and all users the access to the database to which they are entitled

How requests are processed User issues request (e.g. through SQL) DBMS intercepts and analyses request DBMS inspects user's external schema, external to conceptual mapping, conceptual schema, conceptual to internal mapping and the storage structure definition. DBMS executes operations on stored database.

DATABASE ADMINISTRATOR (DBA) Decide on the storage structure and access strategy Liaise with the users Define security and integrity checks Define a backup and recovery strategy Monitor and respond to performance

Utilities used by the DBA Load routines Dump/Restore routines Reorganisation routines Statistics routines Analysis routines Data dictionary (containing METADATA, which gives data descriptions and mappings)

Relational database Data is independent from programs and from other data Data is represented in TABLES rather than files. (one entity corresponds to 1 table) Column headings are described as DOMAINS. (i.e. attributes) Items of information as TUPLES or ROWS rather than records (i.e. occurrences of the entity)