Group4 Unit5
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The document discusses data modeling and database characteristics, data centers, and data modeling. It provides information on: 1) Factors to consider when building a database including data content and cost, user access and data structure, and physical data organization and location. 2) What a data center is and its purpose of housing mission-critical database servers and systems in a climate-controlled building. 3) The two types of designs needed for building a database - logical design showing an abstract data structure and physical design optimizing performance and costs. It also discusses data models, enterprise data modeling using ER diagrams, and their purposes.
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Mis chapter5
This document contains a summary of a discussion on data modeling and database characteristics. It discusses the content, access, logical structure, and physical organization that must be considered when building a database. It also describes data centers as climate-controlled buildings that house database servers and critical systems. Finally, it discusses data modeling, including the need for logical and physical database designs, and describes entity-relationship diagrams as a common data modeling technique.
Mis chapter5
The document discusses data modeling and database characteristics. It describes how organizations must consider content, access, logical structure, and physical organization when building a database. It also discusses data centers, explaining they are climate-controlled buildings that house database servers and systems to deliver critical information. Finally, it outlines the two types of designs needed for data modeling: logical design showing an abstract model of how data is structured, and physical design which fine-tunes the logical design for performance.
Database System: A Case Study of A.T.E.C Central Library
Gunjal, Bhojaraju and Koganurmath M.M (2003). Database System: A case study of A.T.E.C Central Library, In Proceedings of 5th National MANLIBNET Convention, XLRI, Jamshedpur. March 6 - 8, 2003.
Data Dictionary in System Analysis and Design
Data Dictionary
Use of Data Dictionary
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Data Dictionary
A data dictionary is a “virtual database” containing metadata (data about data). Data dictionary holds information about the database and the data that it stores.
ITGS - Data And Databases
Data is raw facts that become information when given context. Databases and spreadsheets are used to store and process different types of data, like numeric, text, dates, and objects. Databases allow large amounts of data to be stored and accessed efficiently. Data is organized into records containing fields, and multiple records make up a database file. Database programs use tables to store field data, forms for user interfaces, queries to search and manipulate data, and reports to output formatted information. Relational databases connect tables through common fields to avoid data redundancy.
Meta Data
Metadata is data that provides information about other data. It describes the elements, rules, and definitions that comprise a data system. A metadata repository is a database that stores metadata information in tables and indexes, including relationships between different metadata elements. Information differs from raw data in that information is contextualized and validated data that is useful, whereas data alone lacks meaning.
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This document discusses different types of data models, including object based models like entity relationship and object oriented models, physical models that describe how data is stored, and record based logical models. It specifically mentions hierarchical, network, and relational models as examples of record based logical data models. The purpose of data models is to represent and make data understandable by specifying rules for database construction, allowed data operations, and integrity.
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Mis chapter5
This document contains a summary of a discussion on data modeling and database characteristics. It discusses the content, access, logical structure, and physical organization that must be considered when building a database. It also describes data centers as climate-controlled buildings that house database servers and critical systems. Finally, it discusses data modeling, including the need for logical and physical database designs, and describes entity-relationship diagrams as a common data modeling technique.
Mis chapter5
The document discusses data modeling and database characteristics. It describes how organizations must consider content, access, logical structure, and physical organization when building a database. It also discusses data centers, explaining they are climate-controlled buildings that house database servers and systems to deliver critical information. Finally, it outlines the two types of designs needed for data modeling: logical design showing an abstract model of how data is structured, and physical design which fine-tunes the logical design for performance.
Database System: A Case Study of A.T.E.C Central Library
Gunjal, Bhojaraju and Koganurmath M.M (2003). Database System: A case study of A.T.E.C Central Library, In Proceedings of 5th National MANLIBNET Convention, XLRI, Jamshedpur. March 6 - 8, 2003.
Data Dictionary in System Analysis and Design
Data Dictionary
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Data Dictionary Analysis
Importance of Data Dictionary
Data Dictionary
A data dictionary is a “virtual database” containing metadata (data about data). Data dictionary holds information about the database and the data that it stores.
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Data is raw facts that become information when given context. Databases and spreadsheets are used to store and process different types of data, like numeric, text, dates, and objects. Databases allow large amounts of data to be stored and accessed efficiently. Data is organized into records containing fields, and multiple records make up a database file. Database programs use tables to store field data, forms for user interfaces, queries to search and manipulate data, and reports to output formatted information. Relational databases connect tables through common fields to avoid data redundancy.
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Metadata is data that provides information about other data. It describes the elements, rules, and definitions that comprise a data system. A metadata repository is a database that stores metadata information in tables and indexes, including relationships between different metadata elements. Information differs from raw data in that information is contextualized and validated data that is useful, whereas data alone lacks meaning.
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This document discusses different types of data models, including object based models like entity relationship and object oriented models, physical models that describe how data is stored, and record based logical models. It specifically mentions hierarchical, network, and relational models as examples of record based logical data models. The purpose of data models is to represent and make data understandable by specifying rules for database construction, allowed data operations, and integrity.
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3) Backus-Naur form can be used to precisely define the syntax of data elements and structures. Examples of BNF definitions are provided.
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The document discusses the purpose and importance of a data dictionary for systems analysis and design. It explains that a data dictionary defines the data about data (metadata) and includes information about entities, attributes, relationships, data flows, structures, elements and data stores. It provides examples of how these components are defined and categorized in a data dictionary. The document also outlines the process of analyzing inputs and outputs, developing data stores, and creating the overall data dictionary.
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A1.g3.ch5.16 20
When building a database, an organization must consider the content, access, logical structure, and physical organization of the data. This includes determining what data to collect, who can access what data and when, how the data should be logically arranged, and the physical location and infrastructure to store the data. Building an effective database requires both a logical design that models how the data should be structured, as well as a physical design that optimizes performance and costs based on the logical design.
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Contents:
Introduction to Databases
Data
Information
Database
Database System
Database Applications
Evolution of Databases
Traditional Files Based Systems
Limitations in Traditional Files
The Database Approach
Advantages of Database Approach
Disadvantages of Database Approach
Database Management Systems
DBMS Functions
Database Architecture
ANSI-SPARC 3 Level Architecture
The Relational Data Model
What is a Relation?
Primary Key
Cardinality and Degree
Relationships
Foreign Key
Data Integrity
Data Dictionary
Database Design
Requirements Collection and analysis
Conceptual Design
Logical Design
Physical Design
Entity Relationship Model
A mini-world example
Entities
Relationships
ERD Notations
Cardinality
Optional Participation
Entities and Relationships
Attributes
Entity Relationship Diagram
Entities
ERD Showing Weak Entities
Super Type / Sub Type Relationships
Mapping ERD to Relational
Map Regular Entities
Map Weak Entities
Map Binary Relationships
Map Associated Entities
Map Unary Relationships
Map Ternary Relationships
Map Supertype/Subtype Relationships
Normalization
Advantages of Normalization
Disadvantages of Normalization
Normal Forms
Functional Dependency
Purchase Order Relation in 0NF
Purchase Order Relation in 1NF
Purchase Order Relations in 2NF
Purchase Order Relations in 3NF
Normalized Relations
BCNF – Boyce Codd Normal Form
Structured Query Language
What We Can Do with SQL ?
SQL Commands
SQL CREATE DATABASE
SQL CREATE TABLE
SQL DROP
SQL Constraints
SQL NOT NULL
SQL PRIMARY KEY
SQL CHECK
SQL FOREIGN KEY
SQL ALTER TABLE
SQL INSERT INTO
SQL INSERT INTO SELECT
SQL SELECT
SQL SELECT DISTINCT
SQL WHERE
SQL AND & OR
SQL ORDER BY
SQL UPDATE
SQL DELETE
SQL LIKE
SQL IN
SQL BETWEEN
SQL INNER JOIN
SQL LEFT JOIN
SQL RIGHT JOIN
SQL UNION
SQL AS
SQL Aggregate Functions
SQL Scalar functions
SQL GROUP BY
SQL HAVING
Database Administration
SQL Database Administration
Dbms notes
The document provides an introduction to database management systems (DBMS). It can be summarized as follows:
1. A DBMS allows for the storage and retrieval of large amounts of related data in an organized manner. It removes data redundancy and allows for fast retrieval of data.
2. Key components of a DBMS include the database engine, data definition subsystem, data manipulation subsystem, application generation subsystem, and data administration subsystem.
3. A DBMS uses a data model to represent the organization of data in a database. Common data models include the entity-relationship model, object-oriented model, and relational model.
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BAB 7 Pangkalan data new
The document discusses database concepts including:
1) The key concepts of a database including data, information, fields, records, files, and how a database improves over traditional file-based systems.
2) The functions of a database management system (DBMS) including database development, application development, and maintenance.
3) The database development process including planning, requirement specification, conceptual design, logical design, and physical design.
Database systems Handbook dbms.pdf
Database Systems Handbook Dbms Rdbms by Muhammad Sharif
This is my Database systems book having all basic to advance know.
It included all topics by chapter wise.
It will help you lots to learn database sytems and management.
Database systems Handbook dbms.pdf
MUHAMMAD SHARIF DATABASE SYSTEMS BOOK RDBMS, DBMS DATABASE MANAGEMENT SYSTEMS BOOK BY APEX MISSION GROUP
Database systems Handbook dbms.pdf
Database management system | Database systems | dbms| rdbms| database management systems handbook | RDBMS & DBMS Handbook
By MUHAMMAD SHARIF
DBA SKM
APEX MISSION GROUP
TECHNOITSCHOOL
Database systems Handbook.pdf
Oracle database systems hand (rdbms) book by MUHAMMAD SHARIF APEX_MISSION GROUP
MUHAMMAD SHARIF_TECHNOITSCHOOL
Database systems Handbook.pdf
This document outlines the contents of a handbook on database systems. It is divided into 18 chapters covering topics such as data types, data models, database design, normalization, transactions, and security. It also provides introductions to key database concepts like data, records, files, metadata, DBMS, and data architectures. The document discusses the history of databases from flat files to modern systems and outlines some advantages of the ANSI-SPARC architecture such as abstraction and separation of logical and physical structures.
Data Models [DATABASE SYSTEMS: Design, Implementation, and Management]
In this PPT, you will learn:
• About data modeling and why data models are important
• About the basic data-modeling building blocks
• What business rules are and how they influence database design
• How the major data models evolved
• About emerging alternative data models and the needs they fulfill
• How data models can be classified by their level of abstraction
Author: Carlos Coronel | Steven Morris
Database System
The document defines key database concepts such as data, information, databases, data modeling, and database management systems (DBMS). It describes what a database is, the basic database structure, and the process of data modeling. It also discusses different types of DBMS software, database designs, and types of databases including relational, distributed, cloud, NoSQL, object-oriented, and graph databases. Additionally, it covers data manipulation using SQL and database advantages like redundancy control and disadvantages like costs.
IS740 Chapter 05
This document provides an overview of database systems, data centers, and business intelligence. It defines key concepts such as entities, attributes, keys, and discusses the relational database model and logical and physical database design. It also describes database management systems, popular DBMSs, data warehouses, data mining, and how databases support business intelligence. The document emphasizes that well-organized data and effective data management are crucial for organizational decision making.
Module-1.pptx
Dr. Taranath N L is the course faculty for the Database Management Systems course at Alliance University Bengaluru. The course syllabus covers 5 modules, including introduction to databases and database architectures, data models, relational algebra and SQL, functional dependency and normalization, and transactions and locking mechanisms in databases. The recommended textbooks for the course are listed.
DBMS Full book by Muhammad Sharif title as Database systems Handbook.pdf
DBMS Full book by Muhammad Sharif title as Database systems Handbook.pdfBahria University Islamabad, Pakistan
Muhammad Sharif full book Database systems handbook SKMCHRC Lahore, Pakistan.
I'm database admin and database developer having many years of database experience from many organizations like skmchrc is one of them.
This book is totally copyright of Muhammad Sharif.
Full dbms Book Title: 'Database systems hanbook' written by Muhammad Sharif
Other name are:
DBMS
RDBMS
DATABASE MANAGEMENT SYSTEM
DATABASE MANAGEMENT SYSTEMS
RELATIONAL DATABASE MANAGEMENT SYSTEM
RELATIONAL DATABASE SYSTEMMuhammad Sharif dbms book title as Database systems Handbook.pdf
Muhammad Sharif dbms book title as Database systems Handbook.pdfBahria University Islamabad, Pakistan
Muhammad Sharif book Database systems handbook SKMCHRC Lahore, Pakistan.
I'm database admin and database developer having many years of database experience from many organizations like skmchrc is one of them.
This book is totally copyright of Muhammad Sharif.
Book Title: 'Database systems hanbook' written by Muhammad Sharif
Other name are:
DBMS
RDBMS
DATABASE MANAGEMENT SYSTEM
DATABASE MANAGEMENT SYSTEMS
RELATIONAL DATABASE MANAGEMENT SYSTEM
RELATIONAL DATABASE SYSTEMSimilar to Group4 Unit5 (20)
Data Models [DATABASE SYSTEMS: Design, Implementation, and Management]
Data Models [DATABASE SYSTEMS: Design, Implementation, and Management]
DBMS Full book by Muhammad Sharif title as Database systems Handbook.pdf
DBMS Full book by Muhammad Sharif title as Database systems Handbook.pdf
Muhammad Sharif dbms book title as Database systems Handbook.pdf
Muhammad Sharif dbms book title as Database systems Handbook.pdf
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Group4 Unit5
- 1. Royal University of Phnom Penh MIS ដដដដដដដដដដដដដដដដដដដ ដ ដ Mr Kean Tak Member Group 1. Ny Rachakna 6. Ly Limkri 2. Ngin Visal 7. Ly Sotharith 3. Orm SovannTara 8.MengChheng 4. My Poleak 9. Ngim Ratana 5. Loy Sakvanna 10.Nhem Ratbophea
- 2. Content I.Data Modeling and Database Characteristics II.Data Center III.Data Modeling
- 3. Data Modeling and the Database Characteristise When building a database, an organization must consider: Content: What data should be collected and at what cost? Access: What data should be provided to which users and when? Logical structre: How should data be arranged so that it makes sense to a given user? Physical organization: data be physically located? Where should
- 4. Data Center Climate-controlled building or set of buildings that: House database servers and the systems that deliver mission-critical information and services. Traditional data centers Consist of warehouses filed with row upon row of server racks and powerful cooling systems
- 5. Data Modeling Building a database requires two type of designs Planned data redundancy Data Model Enterprise data modeling Entity-relationship(ER) diagrams
- 6. Data Modeling Building a database requires two types of designs Logical design: shows an abstract model of how the data should be structured and arranged to meet an organization’s information needs Physical design starts from the logical database design and fine- tunes it for performance and cost considerations
- 7. Data Modeling Data Model a diagram of data entities and their relationships Enterprise data modeling Starts by investigating the general data and information needs of the organization at the strategic level Entity-relationship(ER) diagrams data models that use basic graphical symbols to show the organization of and relationships between data