The document discusses the relational database model. It begins by defining key terms like data, information, database, and DBMS. It then explains the relational model proposed by E.F. Codd, showing an example student database. Codd's rules for relational databases are listed. Types of database anomalies and keys like super keys, candidate keys, and foreign keys are also defined. The advantages of relational databases include structural independence and conceptual simplicity. Disadvantages include increased hardware needs and the potential for poor database design.
The document summarizes the key design issues that must be addressed when building a distributed database management system (DBMS). It outlines nine main design issues: 1) distributed database design, 2) distributed directory management, 3) distributed query processing, 4) distributed concurrency control, 5) distributed deadlock management, 6) reliability of distributed DBMS, 7) replication, 8) relationships among problems, and 9) additional issues like federated databases and peer-to-peer computing raised by growth of the internet. For each issue, it briefly describes the challenges and considerations for designing a distributed DBMS.
In DBMS (DataBase Management System), the relation algebra is important term to further understand the queries in SQL (Structured Query Language) database system. In it just give up the overview of operators in DBMS two of one method relational algebra used and another name is relational calculus.
This document is from a textbook on database systems. It introduces fundamental concepts such as what a database is, the role of database management systems, and typical database functionality including defining schemas, loading data, querying, and concurrency control. It also discusses different types of database users and the advantages of the database approach such as data sharing and integrity enforcement. Examples of entity-relationship diagrams and database relations are provided to illustrate conceptual data modeling.
The document discusses database management systems and their importance in modern society. It provides examples of common database applications and outlines some key benefits of using a database approach, including controlling data redundancy, sharing data among users, and providing backup and recovery services. It also describes the roles of database administrators, users, and designers in working with database systems.
The document provides an overview of database systems, including their purpose, components, and architecture. It describes how database systems offer solutions to problems with using file systems to store data by providing data independence, concurrency control, recovery from failures, and more. It also defines key concepts like data models, data definition and manipulation languages, transactions, storage management, database users, administrators, and the roles they play in overall database system structure.
Unit 1: Introduction to DBMS Unit 1 CompleteRaj vardhan
This document discusses database management systems (DBMS) and their advantages over traditional file-based data storage. It describes the key components of a DBMS, including the hardware, software, data, procedures, and users. It also explains the three levels of abstraction in a DBMS - the physical level, logical level, and view level - and how they provide data independence. Finally, it provides an overview of different data models like hierarchical, network, and relational models.
The document provides an overview of entity-relationship (ER) modeling concepts used in database design. It defines key terms like entities, attributes, relationships, and cardinalities. It explains how ER diagrams visually represent these concepts using symbols like rectangles, diamonds, and lines. The document also discusses entity types, relationship degrees, key attributes, weak entities, and how to model one-to-one, one-to-many, many-to-one, and many-to-many relationships. Overall, the document serves as a guide to basic ER modeling principles for conceptual database design.
Normalization is the process of reorganizing data structure in an efficient way in designing relational database. It is important to perform the processes of normalization because it eliminates duplicate records, data redundancy and making data consistent across all tables. The advantages gained from using normalization is quite significant while the disadvantages are unavoidable for some cases.
The document summarizes the key design issues that must be addressed when building a distributed database management system (DBMS). It outlines nine main design issues: 1) distributed database design, 2) distributed directory management, 3) distributed query processing, 4) distributed concurrency control, 5) distributed deadlock management, 6) reliability of distributed DBMS, 7) replication, 8) relationships among problems, and 9) additional issues like federated databases and peer-to-peer computing raised by growth of the internet. For each issue, it briefly describes the challenges and considerations for designing a distributed DBMS.
In DBMS (DataBase Management System), the relation algebra is important term to further understand the queries in SQL (Structured Query Language) database system. In it just give up the overview of operators in DBMS two of one method relational algebra used and another name is relational calculus.
This document is from a textbook on database systems. It introduces fundamental concepts such as what a database is, the role of database management systems, and typical database functionality including defining schemas, loading data, querying, and concurrency control. It also discusses different types of database users and the advantages of the database approach such as data sharing and integrity enforcement. Examples of entity-relationship diagrams and database relations are provided to illustrate conceptual data modeling.
The document discusses database management systems and their importance in modern society. It provides examples of common database applications and outlines some key benefits of using a database approach, including controlling data redundancy, sharing data among users, and providing backup and recovery services. It also describes the roles of database administrators, users, and designers in working with database systems.
The document provides an overview of database systems, including their purpose, components, and architecture. It describes how database systems offer solutions to problems with using file systems to store data by providing data independence, concurrency control, recovery from failures, and more. It also defines key concepts like data models, data definition and manipulation languages, transactions, storage management, database users, administrators, and the roles they play in overall database system structure.
Unit 1: Introduction to DBMS Unit 1 CompleteRaj vardhan
This document discusses database management systems (DBMS) and their advantages over traditional file-based data storage. It describes the key components of a DBMS, including the hardware, software, data, procedures, and users. It also explains the three levels of abstraction in a DBMS - the physical level, logical level, and view level - and how they provide data independence. Finally, it provides an overview of different data models like hierarchical, network, and relational models.
The document provides an overview of entity-relationship (ER) modeling concepts used in database design. It defines key terms like entities, attributes, relationships, and cardinalities. It explains how ER diagrams visually represent these concepts using symbols like rectangles, diamonds, and lines. The document also discusses entity types, relationship degrees, key attributes, weak entities, and how to model one-to-one, one-to-many, many-to-one, and many-to-many relationships. Overall, the document serves as a guide to basic ER modeling principles for conceptual database design.
Normalization is the process of reorganizing data structure in an efficient way in designing relational database. It is important to perform the processes of normalization because it eliminates duplicate records, data redundancy and making data consistent across all tables. The advantages gained from using normalization is quite significant while the disadvantages are unavoidable for some cases.
Integrity constraints are rules used to maintain data quality and ensure accuracy in a relational database. The main types of integrity constraints are domain constraints, which define valid value sets for attributes; NOT NULL constraints, which enforce non-null values; UNIQUE constraints, which require unique values; and CHECK constraints, which specify value ranges. Referential integrity links data between tables through foreign keys, preventing orphaned records. Integrity constraints are enforced by the database to guard against accidental data damage.
Dbms Notes Lecture 9 : Specialization, Generalization and AggregationBIT Durg
This document discusses key concepts in the Extended Entity Relationship (EER) model, including specialization, generalization, attribute inheritance, and aggregation. Specialization involves dividing a higher-level entity set into lower-level subsets, while generalization groups multiple lower-level entity sets into a single higher-level set based on common attributes. Attribute inheritance allows attributes to be passed from higher to lower levels. Aggregation models relationships between relationships by treating them as higher-level entities. The document provides examples and discusses constraints like disjointness and completeness that can be applied.
The document discusses database management systems and distributed databases. It covers the problems with flat file data storage, how databases address these issues, database design concepts like normalization, and the advantages and challenges of distributed database systems. Distributed databases can be centralized, partitioned, or replicated across multiple sites to improve performance, but maintaining data consistency is challenging and requires concurrency control methods.
The document summarizes key concepts in distributed database systems including:
1) Distributed database architectures have external, conceptual, and internal views of data. Common architectures include client-server and peer-to-peer.
2) Distributed databases can be designed top-down using a global schema or bottom-up without a global schema.
3) Fragmentation and allocation distribute data across sites for performance and availability. Correct fragmentation follows completeness, reconstruction, and disjointness rules.
This document discusses key concepts related to databases and information systems. It defines data, information, and databases. It explains that a database management system (DBMS) stores data in a structured way to facilitate retrieval and use. An information system combines a DBMS with tools for querying, analyzing, and presenting the data. The document outlines advantages of database systems like concurrent access, structured storage, separation of data and applications, and data integrity and persistence. Examples of database applications discussed include banking transactions, timetables, and library catalogs.
A brief study on Storage Area Network (SAN), SAN architecture & its importance. It focuses on the techniques and the technologies that have evolved around SAN & its Security.
This document provides an example of student records in an unnormalized form, containing repeating groups. It then demonstrates normalizing the data by removing the repeating groups into multiple tables in first normal form. Further normalization results in separating attributes with partial dependencies and non-key dependencies into their own tables, achieving second and third normal form respectively. The document explains the different normal forms and how normalization helps reduce data anomalies on insert, update and delete operations.
This document discusses Relational Database Management Systems (RDBMS). It provides an overview of early database systems like hierarchical and network models. It then describes the key concepts of RDBMS including relations, attributes, and using tables, rows, and columns. RDBMS uses Structured Query Language (SQL) and has advantages over early systems by allowing data to be spread across multiple tables and accessed simultaneously by users.
A database management system (DBMS) is software that allows for the creation, management, and use of databases. A DBMS provides users and administrators with various tools and applications to store, organize, and access data. It allows for data to be easily retrieved, filtered, sorted, and updated efficiently. Some key components of a DBMS include the database users, the data itself, software and procedures, hardware, and database access languages. DBMSs are widely used in applications such as banking, universities, e-commerce, and more.
The document discusses the relational database model. It was introduced in 1970 and became popular due to its simplicity and mathematical foundation. The model represents data as relations (tables) with rows (tuples) and columns (attributes). Keys such as primary keys and foreign keys help define relationships between tables and enforce integrity constraints. The relational model provides a standardized way of structuring data through its use of relations, attributes, tuples and keys.
The document summarizes some of the key potential problems with distributed database management systems (DDBMS), including:
1) Distributed database design issues around how to partition and replicate the database across sites.
2) Distributed directory management challenges in maintaining consistency across global or local directories.
3) Distributed query processing difficulties in determining optimal strategies for executing queries across network locations.
4) Distributed concurrency control complications in synchronizing access to multiple copies of the database across sites while maintaining consistency.
This document discusses distributed database design and fragmentation techniques. It begins with an outline of topics covered, then describes the design problem of placing data and applications across computer network sites. Primary horizontal fragmentation is explained as fragmenting a relation based on minterm predicates derived from a complete and minimal set of simple predicates describing the relation and application access patterns. An algorithm is provided to determine this fragmentation through several steps including finding the simple predicates, deriving minterm predicates, and eliminating contradictions to form the fragments. An example demonstrates applying this process to fragment relations based on salary and project budget attributes.
The document discusses database design and relational database management systems. It covers key concepts like normalization, primary keys, foreign keys, and relationships between tables. Normalization is the process of organizing data to eliminate redundancy and ensure data is stored correctly. There are five normal forms with third normal form being sufficient for most applications. Tables are related through primary and foreign keys and different types of relationships can exist between tables like one-to-one, one-to-many, and many-to-many.
This chapter discusses the relational database model and its basic components. It explains that the relational model provides a logical view of data organized into tables composed of rows and columns. Each row must be uniquely identifiable through a primary key. Tables can be linked together through common attributes, and relationships between entities can be modeled as one-to-one, one-to-many, or many-to-many. The chapter also covers relational operators, keys, data integrity rules, and how to handle data redundancy and indexing in a relational database.
This document introduces databases and database management systems (DBMS). It defines key terms like data, database, and DBMS. It describes typical DBMS functionality including defining and constructing databases, and allowing querying, updating, and concurrent access. Example database applications are given ranging from traditional to more recent ones like multimedia and geographic databases. Main characteristics of the database approach are outlined. Database users are categorized and advantages of the database approach are summarized.
This Presentation is about NoSQL which means Not Only SQL. This presentation covers the aspects of using NoSQL for Big Data and the differences from RDBMS.
The document discusses key concepts related to databases including data, information, database management systems (DBMS), database design, and entity relationship modeling. It defines data as raw unorganized facts and information as organized, meaningful data. A database is a collection of organized data that can be easily accessed, managed and updated. Effective database design involves conceptual, logical and physical data modeling to structure data and relationships. The entity relationship model uses entities, attributes, and relationships to graphically represent data structures and relationships.
The document provides a history of database development from the 1950s to the present. It describes how data storage evolved from magnetic tapes to hard disks, allowing for direct data access. In the late 1960s and 1970s, network and hierarchical data models became widespread and Ted Codd defined the relational data model, winning an ACM Turing award for this work. The relational model then became the standard in commercial database systems during the 1980s. Object-oriented and distributed database systems emerged in subsequent decades as data storage capabilities expanded enormously.
Integrity constraints are rules used to maintain data quality and ensure accuracy in a relational database. The main types of integrity constraints are domain constraints, which define valid value sets for attributes; NOT NULL constraints, which enforce non-null values; UNIQUE constraints, which require unique values; and CHECK constraints, which specify value ranges. Referential integrity links data between tables through foreign keys, preventing orphaned records. Integrity constraints are enforced by the database to guard against accidental data damage.
Dbms Notes Lecture 9 : Specialization, Generalization and AggregationBIT Durg
This document discusses key concepts in the Extended Entity Relationship (EER) model, including specialization, generalization, attribute inheritance, and aggregation. Specialization involves dividing a higher-level entity set into lower-level subsets, while generalization groups multiple lower-level entity sets into a single higher-level set based on common attributes. Attribute inheritance allows attributes to be passed from higher to lower levels. Aggregation models relationships between relationships by treating them as higher-level entities. The document provides examples and discusses constraints like disjointness and completeness that can be applied.
The document discusses database management systems and distributed databases. It covers the problems with flat file data storage, how databases address these issues, database design concepts like normalization, and the advantages and challenges of distributed database systems. Distributed databases can be centralized, partitioned, or replicated across multiple sites to improve performance, but maintaining data consistency is challenging and requires concurrency control methods.
The document summarizes key concepts in distributed database systems including:
1) Distributed database architectures have external, conceptual, and internal views of data. Common architectures include client-server and peer-to-peer.
2) Distributed databases can be designed top-down using a global schema or bottom-up without a global schema.
3) Fragmentation and allocation distribute data across sites for performance and availability. Correct fragmentation follows completeness, reconstruction, and disjointness rules.
This document discusses key concepts related to databases and information systems. It defines data, information, and databases. It explains that a database management system (DBMS) stores data in a structured way to facilitate retrieval and use. An information system combines a DBMS with tools for querying, analyzing, and presenting the data. The document outlines advantages of database systems like concurrent access, structured storage, separation of data and applications, and data integrity and persistence. Examples of database applications discussed include banking transactions, timetables, and library catalogs.
A brief study on Storage Area Network (SAN), SAN architecture & its importance. It focuses on the techniques and the technologies that have evolved around SAN & its Security.
This document provides an example of student records in an unnormalized form, containing repeating groups. It then demonstrates normalizing the data by removing the repeating groups into multiple tables in first normal form. Further normalization results in separating attributes with partial dependencies and non-key dependencies into their own tables, achieving second and third normal form respectively. The document explains the different normal forms and how normalization helps reduce data anomalies on insert, update and delete operations.
This document discusses Relational Database Management Systems (RDBMS). It provides an overview of early database systems like hierarchical and network models. It then describes the key concepts of RDBMS including relations, attributes, and using tables, rows, and columns. RDBMS uses Structured Query Language (SQL) and has advantages over early systems by allowing data to be spread across multiple tables and accessed simultaneously by users.
A database management system (DBMS) is software that allows for the creation, management, and use of databases. A DBMS provides users and administrators with various tools and applications to store, organize, and access data. It allows for data to be easily retrieved, filtered, sorted, and updated efficiently. Some key components of a DBMS include the database users, the data itself, software and procedures, hardware, and database access languages. DBMSs are widely used in applications such as banking, universities, e-commerce, and more.
The document discusses the relational database model. It was introduced in 1970 and became popular due to its simplicity and mathematical foundation. The model represents data as relations (tables) with rows (tuples) and columns (attributes). Keys such as primary keys and foreign keys help define relationships between tables and enforce integrity constraints. The relational model provides a standardized way of structuring data through its use of relations, attributes, tuples and keys.
The document summarizes some of the key potential problems with distributed database management systems (DDBMS), including:
1) Distributed database design issues around how to partition and replicate the database across sites.
2) Distributed directory management challenges in maintaining consistency across global or local directories.
3) Distributed query processing difficulties in determining optimal strategies for executing queries across network locations.
4) Distributed concurrency control complications in synchronizing access to multiple copies of the database across sites while maintaining consistency.
This document discusses distributed database design and fragmentation techniques. It begins with an outline of topics covered, then describes the design problem of placing data and applications across computer network sites. Primary horizontal fragmentation is explained as fragmenting a relation based on minterm predicates derived from a complete and minimal set of simple predicates describing the relation and application access patterns. An algorithm is provided to determine this fragmentation through several steps including finding the simple predicates, deriving minterm predicates, and eliminating contradictions to form the fragments. An example demonstrates applying this process to fragment relations based on salary and project budget attributes.
The document discusses database design and relational database management systems. It covers key concepts like normalization, primary keys, foreign keys, and relationships between tables. Normalization is the process of organizing data to eliminate redundancy and ensure data is stored correctly. There are five normal forms with third normal form being sufficient for most applications. Tables are related through primary and foreign keys and different types of relationships can exist between tables like one-to-one, one-to-many, and many-to-many.
This chapter discusses the relational database model and its basic components. It explains that the relational model provides a logical view of data organized into tables composed of rows and columns. Each row must be uniquely identifiable through a primary key. Tables can be linked together through common attributes, and relationships between entities can be modeled as one-to-one, one-to-many, or many-to-many. The chapter also covers relational operators, keys, data integrity rules, and how to handle data redundancy and indexing in a relational database.
This document introduces databases and database management systems (DBMS). It defines key terms like data, database, and DBMS. It describes typical DBMS functionality including defining and constructing databases, and allowing querying, updating, and concurrent access. Example database applications are given ranging from traditional to more recent ones like multimedia and geographic databases. Main characteristics of the database approach are outlined. Database users are categorized and advantages of the database approach are summarized.
This Presentation is about NoSQL which means Not Only SQL. This presentation covers the aspects of using NoSQL for Big Data and the differences from RDBMS.
The document discusses key concepts related to databases including data, information, database management systems (DBMS), database design, and entity relationship modeling. It defines data as raw unorganized facts and information as organized, meaningful data. A database is a collection of organized data that can be easily accessed, managed and updated. Effective database design involves conceptual, logical and physical data modeling to structure data and relationships. The entity relationship model uses entities, attributes, and relationships to graphically represent data structures and relationships.
The document provides a history of database development from the 1950s to the present. It describes how data storage evolved from magnetic tapes to hard disks, allowing for direct data access. In the late 1960s and 1970s, network and hierarchical data models became widespread and Ted Codd defined the relational data model, winning an ACM Turing award for this work. The relational model then became the standard in commercial database systems during the 1980s. Object-oriented and distributed database systems emerged in subsequent decades as data storage capabilities expanded enormously.
The document discusses the implementation of an information system at a children's hospital in Los Angeles. It describes some of the key purposes and components of a hospital information system, including managing administrative, financial, and clinical data in both paper-based and digital formats. Specifically, the system implemented at this hospital involved purchasing Microsoft software and storing all patient information, doctor reports, and other data in a relational database for easy access and integration across the hospital. An estimated budget and hours for various roles needed such as system analysts, programmers, and database specialists is also provided.
This document provides an overview of data management and IT infrastructure. It discusses data versus information, basic concepts of data, databases, and database management systems. It covers database models including hierarchical, network, relational, and object-oriented. It also discusses database applications, benefits of a database approach, centralized versus distributed databases, relational databases, data warehouses, and data mining. Finally, it provides an introduction to IT infrastructure and discusses the evolution of IT infrastructure from the 1950s to present.
Attributes are properties or characteristics that describe entities. In the EMPLOYEE entity example, attributes could include:
- Employee ID
- Name
- Date of birth
- Address
- Salary
These attributes describe and provide information about each employee entity instance. Attributes help define and differentiate entity instances from each other.
This document provides information about getting fully solved assignments from a company called Assignment Drive. It lists the contact details and instructions for students to send their semester and specialization to get assignments. It then provides details of subjects, codes, credits and marks for assignments in Database Management Systems for semester 3.
The document provides an overview of database systems, including their purpose, components, and architecture. It describes how database systems offer solutions to problems with file-based data storage like data redundancy, integrity issues, and concurrent access. The key components discussed are the database management system (DBMS), data models, data definition and manipulation languages, transaction management, storage management, database administrators, and users. It also outlines the different levels of abstraction in a database and common system architectures.
The document provides an overview of database systems, including their purpose, components, and architecture. It describes how database systems offer solutions to problems with using file systems to store data like data redundancy, integrity issues, and concurrent access. The key components discussed are the data models, data definition and manipulation languages, transaction management, storage management, database administrators, and users. It also outlines the overall structure of a database system as having physical, logical, and view levels of abstraction.
The document provides an overview of database systems, including their purpose, components, and architecture. It describes how database systems offer solutions to problems with using file systems to store data like data redundancy, integrity issues, and concurrent access. The key components discussed are the data models, data definition and manipulation languages, transaction management, storage management, database administrators, and users. It also outlines the overall structure of a database system as having physical, logical, and view levels of abstraction.
This document provides an overview of database management systems and related concepts. It discusses the three schema architecture including external, conceptual, and internal schemas. It also covers data models, data definition and manipulation languages, database administrators, keys such as primary keys and foreign keys, and integrity constraints including referential integrity, check constraints, and NOT NULL constraints. The goal of these concepts is to provide a structured and standardized way to define, manipulate, and manage database systems and data.
The document provides an overview of database management systems (DBMS). It begins with introducing the presenters and objective to make the audience knowledgeable about DBMS fundamentals and improvements. The contents section outlines topics like introduction, data, information, database components, what is a DBMS, database administrator, database languages, advantages and disadvantages of DBMS, examples of DBMS like SQL Server, and applications of DBMS.
The document discusses database management systems and data modeling. It begins by defining key terms like data, databases, database management systems, and data models. It then provides a brief history of database development from the 1960s to the 1980s. The rest of the document discusses database concepts in more detail, including components of a DBMS, types of database users, database administration responsibilities, data modeling techniques, and the evolution of different data models.
The document provides an overview of database systems and their components. It discusses:
- The purpose of database systems is to provide solutions to problems with using file systems like data redundancy, difficulty of accessing data, and lack of integrity and security.
- Database systems include a collection of interrelated data, a set of programs to access the data called a database management system (DBMS), and database applications in domains like banking, airlines, education and more.
- Key components of database systems include data models, data definition and manipulation languages, transaction management, storage management, database administrators, and database users. The overall system has physical, logical and view levels of abstraction.
The document provides an introduction to database management systems (DBMS) and database models. It defines key terms like data, database, DBMS, file system vs DBMS. It describes the evolution of DBMS from 1960 onwards and different database models like hierarchical, network and relational models. It also discusses the roles of different people who work with databases like database designers, administrators, application programmers and end users.
The document discusses key concepts related to databases including:
1) It defines data as representations of facts, concepts or instructions that are suitable for communication, interpretation or processing.
2) A database is defined as a structured set of non-redundant information organized based on a data model, consisting of files, records and fields.
3) A database management system (DBMS) provides an interface between users and the database, allowing for data definition, manipulation and control.
This document provides an overview of database management systems and the relational data model. It discusses the history and components of DBMS, including data models like entity-relationship and relational models. The relational model represents data as mathematical tuples organized into tables. Key concepts explained include tables, tuples, schemas, and integrity constraints. Database users and common DBMS architectures are also summarized.
The document discusses database system applications and the benefits of using a database management system (DBMS). Key points include:
1) A DBMS allows storage and retrieval of large amounts of related data in an organized manner. It provides data independence, security, integrity and concurrent access.
2) Common database applications include banking, airlines, universities, online retailers, and manufacturing.
3) A DBMS provides benefits over simply using file systems such as reducing data redundancy, improving data access and query performance, and maintaining data integrity.
The document provides an introduction to database management systems. It defines key terms like data, information, database, and record. It describes the differences between manual and computerized data processing. It explains that a database management system (DBMS) is software that manages databases and allows data to be easily accessed, managed, and updated. It then discusses the history of DBMS, common applications of databases, the data processing cycle, features of databases, types of database users, concepts of data abstraction, and database system architectures.
The document provides an introduction to database management systems and related concepts. It defines key terms like data, information, database, and record. It describes the differences between manual and computerized data processing. It then discusses traditional file-based data storage approaches and their limitations. The document introduces database management systems and their applications. It provides a brief history of DBMS and discusses the data processing cycle and the roles of different database users. Finally, it covers various database models including hierarchical, network, relational, object-oriented, and object-relational models.
Cover Story - China's Investment Leader - Dr. Alyce SUmsthrill
In World Expo 2010 Shanghai – the most visited Expo in the World History
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China’s official organizer of the Expo, CCPIT (China Council for the Promotion of International Trade https://en.ccpit.org/) has chosen Dr. Alyce Su as the Cover Person with Cover Story, in the Expo’s official magazine distributed throughout the Expo, showcasing China’s New Generation of Leaders to the World.
The APCO Geopolitical Radar - Q3 2024 The Global Operating Environment for Bu...APCO
The Radar reflects input from APCO’s teams located around the world. It distils a host of interconnected events and trends into insights to inform operational and strategic decisions. Issues covered in this edition include:
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IMPACT Silver is a pure silver zinc producer with over $260 million in revenue since 2008 and a large 100% owned 210km Mexico land package - 2024 catalysts includes new 14% grade zinc Plomosas mine and 20,000m of fully funded exploration drilling.
Part 2 Deep Dive: Navigating the 2024 Slowdownjeffkluth1
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1. Presented by – Ovais Bin Imtiaz, MFC(P)
DBMS – Relational Model
2. Presented by – Ovais Bin Imtiaz, MFC(P)
Some Basic Terms
1. Data :- Data are raw facts. The word raw indicates that
the facts are unprocessed and doesn’t have meaning.
It is used as input.
2. Information :- It’s meaningful form of data. Information
is the result of processing raw data to reveal it’s
meaning.
3. Database :- A collection of inter related data is called
database.
• A database is a shared , integrated computer structure
that store a collection of end-user data and metadata.
• A database can be of any size and complexity.
• A database may be generated and maintained
manually or it may be computerized.
3. Presented by – Ovais Bin Imtiaz, MFC(P)
4. Bit :- A single binary digit (0 or 1).
5. Character :- Multiple related bits are combined to form a character.
6. Field :- A character or group of characters that has a specific meaning.
A filed is used to define and store data.
7. Record :- A logically connected set of one or more fields that
describes a person, place, or thing.
8. File :- A collection of related record.
9. Schema :- Description of a database.
10. Instance :- Overall information stored in a database at a particular
moment is called the instance of the database.
4. Presented by – Ovais Bin Imtiaz, MFC(P)
11. DBMS :- A Database Management System is a
collection of programs that manage the database
structure and controls access to the data stored in the
database
Its allows to
• create databases;
• insert , update and delete data;
• sort and query data;
• create form and reports.
Examples of DBMS – Oracle, MySQL, SQLite, DB2 and
MS Access
5. Presented by – Ovais Bin Imtiaz, MFC(P)
Improved Data Sharing
Improved Data security
Minimized data inconsistency
Improved Data Access
Improved decision making
Increased end-user productivity .
Reduce application development time
Role and Advantages of DBMS
6. Presented by – Ovais Bin Imtiaz, MFC(P)
Railway Reservation
Library Management System
Banking
Schools and colleges
Social media sites
Telecommunication
Finance
Online shopping
Applications of DBMS
7. Presented by – Ovais Bin Imtiaz, MFC(P)
What does Database Model mean?
A database model is a type of data model that determines the logical
structure of a database and functionally determines in which manner
data can be stored, organized and manipulated.
A database model :-
shows the logical structure of a database;
describe the relationships between different parts of the data;
serves as blueprint for application developers and database
administrators in creating a database
8. Presented by – Ovais Bin Imtiaz, MFC(P)
STUDENT
ROLL_NO NAME ADDRESS PHONE AGE
1 RAM DELHI 9455123451 18
2 RAMESH GURGAON 9652431543 18
3 SUJIT ROHTAK 9156253131 20
4 SURESH DELHI 9156243131 18
Relational Model was proposed by E.F. Codd in 1970 to model
data in the form of relations or tables.
Relational Model represents how data is stored in Relational
Databases. A relational database stores data in the form of
relations.
Relational Model of DBMS
Example :-
9. Presented by – Ovais Bin Imtiaz, MFC(P)
Codd rules were proposed by E.F. Codd which should be satisfied by relational model.
1. Information Rule: Data stored in Relational model must be a value of some cell of a
table.
2. Guaranteed Access Rule: Every data element must be accessible by table name, its
primary key and name of attribute whose value is to be determined.
3. Systematic Treatment of NULL values: NULL value in database must only
correspond to missing, unknown or not applicable values.
4. Active Online Catalog: Structure of database must be stored in an online catalog
which can be queried by authorized users.
5. Comprehensive Data Sub-language Rule: A database should be accessible by a
language supported for definition, manipulation and transaction management
operation.
6. View Updating Rule: Different views created for various purposes should be
automatically updatable by the system.
7. High level insert, update and delete rule: Relational Model should support insert,
delete, update etc. operations at each level of relations. Also, set operations like
Union, Intersection and minus should be supported.
Codd Rules
10. Presented by – Ovais Bin Imtiaz, MFC(P)
8. Physical data independence: Any modification in the physical location of a
table should not enforce modification at application level.
9. Logical data independence: Any modification in logical or conceptual schema
of a table should not enforce modification at application level. For example,
merging of two tables into one should not affect application accessing it which
is difficult to achieve.
10. Integrity Independence: Integrity constraints modified at database level should
not enforce modification at application level.
11. Distribution Independence: Distribution of data over various locations should
not be visible to end-users.
12. Non-Subversion Rule: Low level access to data should not be able to bypass
integrity rule to change data.
11. Presented by – Ovais Bin Imtiaz, MFC(P)
An anomaly is an irregularity, or something which deviates from the expected
or normal state. When designing databases, we identify three types of
anomalies: Insert, Update and Delete.
Anomalies in Relational Model
STUDENT
ROLL_NO NAME ADDRESS PHONE AGE
BRANCH
_CODE
1 RAM DELHI 9455123451 18 CS
2 RAMESH GURGAON 9652431543 18 CS
3 SUJIT ROHTAK 9156253131 20 ECE
4 SURESH DELHI 9156243131 18 IT
BRANCH
BRANCH_CO
DE BRANCH_NAME
CS
COMPUTER
SCIENCE
IT
INFORMATION
TECHNOLOGY
ECE
ELECTRONICS
AND
COMMUNICATION
ENGINEERING
CV
CIVIL
ENGINEERING
12. Presented by – Ovais Bin Imtiaz, MFC(P)
Insertion Anomaly in Referencing Relation:
Insertion of a student with BRANCH_CODE ‘ME’ in STUDENT relation will result
in error because ‘ME’ is not present in BRANCH_CODE of BRANCH.
Deletion/ Updation Anomaly in Referenced Relation:
If we try to delete tuple from BRANCH having BRANCH_CODE ‘CS’, it will result
in error because ‘CS’ is referenced by BRANCH_CODE of STUDENT, but if we try
to delete the row from BRANCH with BRANCH_CODE CV, it will be deleted as
the value is not been used by referencing relation. It can be handled by
following method:
ON DELETE CASCADE: It will delete the tuples from REFERENCING RELATION
if value used by REFERENCING ATTRIBUTE is deleted from REFERENCED
RELATION. e.g., if we delete a row from BRANCH with BRANCH_CODE ‘CS’, the
rows in STUDENT relation with BRANCH_CODE CS (ROLL_NO 1 and 2 in this
case) will be deleted.
ON UPDATE CASCADE: It will update the REFERENCING ATTRIBUTE in
REFERENCING RELATION if attribute value used by REFERENCING ATTRIBUTE is
updated in REFERENCED RELATION. e.g., if we update a row from BRANCH with
BRANCH_CODE ‘CS’ to ‘CSE’, the rows in STUDENT relation with BRANCH_CODE
CS (ROLL_NO 1 and 2 in this case) will be updated with BRANCH_CODE ‘CSE’.
13. Presented by – Ovais Bin Imtiaz, MFC(P)
1. Super key :- An attribute that uniquely identifies each row in a
table. E.g. :- customer name and customer id.
2. Candidate key :- A minimal super key. A super key that does not
contain a subset of attributes that is itself a super key. E.g. :-
customer id
3. Primary Key :- A candidate key selected to uniquely identify all
other attribute values in any given row. Cannot contain null
entries
4. Unique Key :- A candidate key selected to uniquely identify all
other attribute values in any given row. Can accept unique or
null values
5. Foreign key :- An attribute in one table whose values must
either match the primary key in another table or be null.
Types of Keys in Relational Model
14. Presented by – Ovais Bin Imtiaz, MFC(P)
Advantages of Relational Model
Structural independence: In relational model, changes in the database
structure do not affect the data access.
Conceptual simplicity: Since the relational data model frees the designer from
the physical data storage details, the designers can concentrate on the logical
view of the database.
Design, implementation, maintenance and usage ease: The relational
database model achieves both data independence and structure
independence making the database design, maintenance, administration and
usage much easier than the other models.
Ad hoc query capability: The query language of the relational database models
structured query language or SQL makes ad hoc queries a reality. Using SQL the
users can specify what information they want and leave the details of how to
get the information to the database.
15. Presented by – Ovais Bin Imtiaz, MFC(P)
Disadvantages of Relational Model
Hardware overheads: For making things easier for the users, the relational
database systems need more powerful hardware computers and data storage
devices. So, the RDBMS needs powerful machines to run smoothly.
Ease of design can lead to bad design: The users need not know the complex
details of physical data storage. They need not know how the data is actually
stored to access it. This ease of design and use can lead to the development
and implementation of very poorly designed database management systems.
'Information island' phenomenon: As we have said before, the relational
database systems are easy to implement and use. This will create a situation
where too many people or departments will create their own databases and
applications.