• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Project Overview - Dr. Abdullah Almutairi | Kuwait University
Project Overview - Dr. Abdullah Almutairi | Kuwait University

... is used to uniquely identifies each record. Examples: Student ID Number, Civil ID Number, Employee ID Number.  Batch Data Processing Data is collected over a long period of time and processed all at once. ...
DEV309: Building Enterprise Applications Using Visual
DEV309: Building Enterprise Applications Using Visual

... A good architecture only works if people follow the rules when implementing it Good help is hard to find (and expensive!) “Best practices” are useless if no one follows them ...
BCS THE CHARTERED INSTITUTE FOR IT BCS HIGHER EDUCATION QUALIFICATIONS
BCS THE CHARTERED INSTITUTE FOR IT BCS HIGHER EDUCATION QUALIFICATIONS

... and histograms - especially on skewed data distributions – such as Oracle’s cost-based optimizer when working on star schema queries. Function-based indexes that can pre-index complex calculations and other expressions often used in DW applications. Sampling functions that can gather mathematical da ...
Job Title : Database Manager Salary: £28,000
Job Title : Database Manager Salary: £28,000

...  Lead and be responsible for Thames Hospice’s ThankQ database and for the realisation of the value of data held on it.  Work proactively to implement changes to data structures and develop new solutions that increase the effectiveness of data capture and use.  Ensure that database users have suff ...
Database Normalization
Database Normalization

... A snowflake schema can sometimes reflect the way in which users think about data. Users may prefer to generate queries using a star schema in some cases, although this may or may not be reflected in the underlying organisation of the database. Some users may wish to submit queries to the database wh ...
Lecture Notes
Lecture Notes

... • Not all database designs are equal. • Experience and research has shown that certain structures and relationships are easier to maintain and process than others. • Normalization: a process through which a database design is “cleaned up” • Well-defined set of “normal forms” which are the incrementa ...
Judul - Binus Repository
Judul - Binus Repository

... built for a specific purpose • Data is stored hierarchically for easier storage and retrieval • Files: collections of related records • Records: collections of related fields ...
SQL Server Stretch database (Overview and demo session)
SQL Server Stretch database (Overview and demo session)

Data models
Data models

... The main relation, which relates dimensions to measures, is called the fact table.  e.g., sales(prod_id, date, shop_id, num_sold)  Very large, accumulation of facts such as sales ...
DbSchema Tutorial with Introduction in SQL Databases
DbSchema Tutorial with Introduction in SQL Databases

... The foreign key requires the referring table (employees) and referred table (customers) plus the columns for each of them. We can set an action to be taken if a customer is deleted. No action means nothing will be done. If we will try to drop a customer which has employees we will get back an error ...
eXtremeDB® In-Memory Database System
eXtremeDB® In-Memory Database System

Introduction
Introduction

... • A Foreign Key of the ‘many’ table has values in it that must be in the Primary Key column of the ‘one’ table • This concept is known as Referential Integrity (RI) • We tell the RDBMS how to enforce this integrity in CREATE TABLE code (ch. 6) • Declarative Referential Integrity is that feature of t ...
Hbase: Hadoop Database
Hbase: Hadoop Database

... Introduction ...
Distributed Databases
Distributed Databases

... to prepare to commit transaction Ti.  Ci adds the records to the log and forces log to stable storage (a log is a file which maintains a record of all changes to the ...
DATABASES
DATABASES

... Once the tables have been set up, a relationship can be created to link them together as shown by the lines linking the tables below. This is known as a 'relational database'. ...
Databases
Databases

... – Each field of a database table contains a single data value – Each record in a table contains the same fields ...
Course Description
Course Description

... development of relational databases. The progress in database systems and applications has produced a diverse landscape of specialized technology areas that have often become the exclusive domain of research specialists. This course provides a systematic introduction to and an in-depth study on seve ...
ArcSDE
ArcSDE

... Only store separately if they are completely separate (no cross database queries supported) Follow up migration with sp_change_users_login to synchronize ID’s ...
relational schema
relational schema

... Knowledge base Expert systems Geographical Information System Accounting and management Digital content management Genome projects ...
Structured Query Language (SQL)
Structured Query Language (SQL)

... • Customer Choice – If products support the same interface then customers can focus on the implementation that best meets their own needs without having to choose among different interfaces. ...
JDBC - Database Drivers
JDBC - Database Drivers

... • Translate JDBC into ODBC and use Windows ODBC built in drivers • ODBC must be set up on every client – driver must be physically on each machine for both java applications and applets – for server side servlets ODBC must be set up ...
REVISING JOE`S DATABASE
REVISING JOE`S DATABASE

... relationships have not been established. This process is called a join. Joins can combine any two tables as long as they have a common field. The common field does not have to be a foreign key but can be any field that exists in both tables. In fact, tables can be combined even if there is no common ...
presentation source
presentation source

... 3. Determine relationship type 4. Determine level of participation 5. Assign an identifier for each entity 6. Draw completed E-R diagram 7. Deduce a set of preliminary skeleton tables along with a proposed primary key for each table (using seven rules) 8. Develop a list of all attributes of interest ...
lecture01
lecture01

... Database Application Suppose we are building a system to store the information about: • students • courses • professors • who takes what, who teaches what ...
bar
bar

... The bar and beer together are the key for Sells: CREATE TABLE Sells ( bar CHAR(20), beer ...
< 1 ... 425 426 427 428 429 430 431 432 433 ... 492 >

Entity–attribute–value model

Entity–attribute–value model (EAV) is a data model to describe entities where the number of attributes (properties, parameters) that can be used to describe them is potentially vast, but the number that will actually apply to a given entity is relatively modest. In mathematics, this model is known as a sparse matrix. EAV is also known as object–attribute–value model, vertical database model and open schema.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report