Database model

the term database. How is it different from a database management system? Database is simply a collection of data. A database helps and provides managers and decision making people with timely and relevant information that leads the company to organizational success. A database management system is totally different than regular database. A (DBMS) is a group of programs that manipulates the database. 2. What is the hierarchy of data in a database? The hierarchy of data in a database is bits

1. DIFFERENCES BETWEEN DATABASE MANAGEMENT SYSTEM AND INFORMATION RETRIEVAL SYSTEM DATABASE MANAGEMENT SYSTEM (DBMS) INFORMATION RETRIEVAL SYSTEM (IRS) DBMS offer advance Data Modelling Facility (DMF) including Data Definition Language and Data Manipulation Language for modelling and manipulating data. IRS do not offer an advance DMF. Usually data modelling in IRS is restricted to classification of objects. Data Definition Language of DBMS is the capability to define the data integrity constraints

Attribute Name Description Data type Format Range Label Table: Employee EmpNum Unique Employee ID Varchar2(4) L999 E001-E999 PK, Emp_pk EmpFName First name Varchar2(15) LL..LL EmpLName Last name Varchar2(15) LL..LL CommissionRate Commission Rate Number(2,2) 99.99 0-40 YrlySalary Annual salary Number(8,2) 999999.99 0-200,000 DepID Employee’s Department Varchar2(4) L999 D01-D99 FK, Emp_dept_fk JobID Job ID Varchar2(4) L999 J01-J99 FK, Emp_job_fk Table: Invoice InvNum Unique

semi-structured data. These data are stored in multimedia databases and multimedia mining is used to find useful information from large multimedia database system by using various multimedia techniques and powerful tools. This paper provides the basic concepts of multimedia mining and its essential characteristics. Multimedia mining architectures for structured and unstructured data, research issues in multimedia mining, data mining models used for

GAINS: DISTRIBUTED DATABASE SOLUTIONS CSC 633 RAJEEV SAGAR REDDY MERUGU. INTRODUCTION: Database management has undergone more than four decades of evolution producing vast range of research and extensive array of technology solutions. The database research community and software industry has responded to numerous challenges resulting from changes in user requirements and opportunities presented by hardware advances. The relational database approach as represented by SQL databases has been particularly

multimedia data sets, such as audio, video, images, graphics, speech, text and combination of several types of data set. Multimedia data are unstructured data or semi-structured data. These data are stored in multimedia database, multimedia mining find information from large multimedia database system, using multimedia techniques and powerful tools. KEYWORDS: Data Mining, Multimedia Mining, Clustering, Classification. 1. INTRODUCTION Multimedia data mining is a subfield of data mining that using to find

semi-structured data. These data are stored in multimedia databases and multimedia mining is used to find useful information from large multimedia database system by using various multimedia techniques and powerful tools.This paper provides the basic concepts of multimedia mining and its essential characteristics.Multimedia mining architectures for structured and unstructured data, research issues in multimedia mining, data mining models used for multimedia mining and applications are also discussed

requires an enhanced data management strategy to sustain their business operations. Their existing data repository for its reservation processing system is limited in business intelligence and reporting functionalities. The tour operator seeks a database management specialist to assist them in leveraging their data sources to enable them to forecast and project tour sales appropriately. Imagine that you have been hired to fulfill their need of enhancing the data repository for their current reservation

to provide a concise analysis on data security and privacy protection issues pertaining to data and databases as well as the current advancement/ breakthrough made and achieved in regards to database security and privacy concerns. We will also discuss in this paper some current solutions in the security market. First, we looked at the a trusted database model which makes it possible to shield database with absolute secrecy to benefit trusted equipment presented on the side of server and made to work

that have underlying relational databases, repositories or other sources of data that simultaneously hide constant details that have been changed in related interfaces from the developers and the code they create. ORM makes it theoretically possible for developers to switch applications between relational databases. Since ORM tools mostly rely heavily on metadata of both the database and objects, the objects do not need to know anything about the database and the database doesn’t need to know anything