Database Management Systems

Database System Applications Database Management System (DBMS) contains information about a particular enterprise Collection of interrelated data Set of programs to access the data An environment that is both convenient and efficient to use Database Applications: Banking: all transactions Airlines: reservations, schedules Universities: registration, grades Sales: customers, products, purchases Online retailers: order tracking, customized recommendations Manufacturing: production, inventory, orders, supply chain Human resources: employee records, salaries, tax deductions Databases touch all aspects of our lives Unit 1 (2010-2011) © Aditya Engineering College

DBMS Is Every Where Take the example of a small provisions store into a bigger grocery store management talking about what kind of resources one needs to manage (from everything in the mind to a few books to computers (files) to a bigger system, how data becomes important to manage the other resources and then how data itself becomes a resource to be managed. Unit 1 (2010-2011) © Aditya Engineering College

Data and Information Steps in tranforming Data into Information Data: Facts concerning things such as people, object, events etc. e.g. students, the courses they are taking and their grades etc. Information: Data that have been processed and presented in a form suitable for human interpretation, often with the purpose of revealing trends or patterns e.g. percentage enrollment in various courses, enrollment projections, top rankers etc. Steps in tranforming Data into Information 1. Acquisition: Acquiring data from the environment. This data acquired will be in an unorganized form. 2. Storage: It is at this level the data starts transforming into information and stored on a medium. 3. Manipulation: The stored information is manipulated according to the requirements. 4. Retrieval: The information is retrieved from the storage medium. 5. Distribution: The retrieved information is distributed/presented to the users. Unit 1 (2010-2011) © Aditya Engineering College

Drawbacks of File System Data redundancy and inconsistency - Multiple file formats, duplication of information in different files. Difficulty in accessing data - Need to write a new program to carry out each new task Data isolation - multiple files and formats Integrity problems - Integrity constraints (e.g. account balance > 0) become “buried” in program code rather than being stated explicitly; Hard to add new constraints or change existing ones Atomicity of updates - Failures may leave database in an inconsistent state with partial updates carried out; Example: Transfer of funds from one account to another should either complete or not happen at all Unit 1 (2010-2011) © Aditya Engineering College

Drawbacks of file systems (Cont.) Concurrent access by multiple users - Concurrent access needed for performance; Uncontrolled concurrent accesses can lead to inconsistencies. Example: Two people reading a balance and updating it at the same time Security problems - Hard to provide user access to some, but not all, data Database systems offer solutions to all the above problems DB System Applications: Banking, Airlines, Credit Card, Universities / colleges, Telecom, Finance, Sales, Manufacturing, Human Resources From Indirect usage to direct usage Internet, on-line access – bank accounts, books, order - everything in life Big companies – Oracle, Microsoft, IBM Unit 1 (2010-2011) © Aditya Engineering College

Database Approach Many of the mentioned disadvantages are a result of the approach which concentrates on the system’s processes first (process-driven approach) and treats the data as inputs and outputs to those processes. The database approach instead considers the system’s data first (data-driven approach) and then identifies the processes that interact with the data. Designers have discovered that a combination of the two approaches is usually the most appropriate. One reason for this is that there are always new processes in organizations that require new data and the structure of such data will be driven by the processes that use it. DBMS consists of a collection of interrelated data and a set of programs to access those data. The primary goal of a DBMS is to provide an environment that makes it both convenient and efficient to retrieve and store the database information. Unit 1 (2010-2011) © Aditya Engineering College

DATA BASE LANGUAGE Data Manipulation Language (DML) Language for accessing and manipulating the data organized by the appropriate data model DML also known as query language Two classes of languages Procedural – user specifies what data is required and how to get those data Declarative (nonprocedural) – user specifies what data is required without specifying how to get those data SQL (Structured Query Language) is the most widely used query language Unit 1 (2010-2011) © Aditya Engineering College

Data Definition Language (DDL) Specification notation for defining the database schema Example: create table account ( account_number char(10), branch_name char(10), balance integer) DDL compiler generates a set of tables stored in a data dictionary Data dictionary contains metadata (i.e., data about data) Database schema Data storage and definition language Specifies the storage structure and access methods used Integrity constraints Domain constraints Referential integrity (e.g. branch_name must correspond to a valid branch in the branch table) Authorization © Aditya Engineering College

Data Models A collection of tools for describing - Data , Data relationships, Data semantics and Data constraints Relational model Entity-Relationship data model (mainly for database design) Object-based data models (Object-oriented and Object-relational) Semi structured data model (XML) Other older models: Network model & Hierarchical model A data model is a collection of concepts for describing data. A schema is a description of a particular collection of data, using a given data model. The relational model of data is the most widely used model today. Main concept: relation, basically a table with rows and columns. Every relation has a schema, which describes the columns, or fields. © Aditya Engineering College

What Is a DBMS? Why Use a DBMS? A very large, integrated collection of data. Models real-world enterprise. Entities (e.g., students, courses) Relationships (e.g., Ravi is taking DBMS) A Database Management System (DBMS) is a software package designed to store and manage databases. Why Use a DBMS? Data independence and efficient access. Reduced application development time. Data integrity and security. Uniform data administration. Concurrent access, recovery from crashes. © Aditya Engineering College 11

Why Study Databases?? ? Shift from computation to information Datasets increasing in diversity and volume. Digital libraries, interactive video, Human Genome project, Internet data ... need for DBMS exploding DBMS encompasses most of CS OS, languages, theory, AI, multimedia, logic ? © Aditya Engineering College 12

Levels of Abstraction: Files vs. DBMS Application must stage large datasets between main memory and secondary storage (e.g., buffering, page- oriented access, 32-bit addressing, etc.) Special code for different queries Must protect data from inconsistency due to multiple concurrent users Crash recovery Security and access control Levels of Abstraction: Physical level: describes how a record (e.g., customer) is stored. Logical level: describes data stored in database, and the relationships among the data. type customer = record customer_id : string; customer_name : string; customer_city : string; end; View level: application programs hide details of data types. Views can also hide information (such as an employee’s salary) for security purposes. © Aditya Engineering College 13

Summary DBMS used to maintain, query large data sets. Benefits include recovery from system crashes, concurrent access, quick application development, data integrity and security. Levels of abstraction give data independence. A DBMS typically has a layered architecture. DBAs hold responsible jobs and are well-paid!  DBMS R&D is one of the broadest, most exciting areas in CS. © Aditya Engineering College