This document discusses database management systems and the database development lifecycle. It defines DBMS as software that manages databases and provides functions like data definition, retrieval, updating and administration. It describes the characteristics of data in databases and advantages like redundancy control and data sharing. The document outlines the planning, analysis, design, implementation and maintenance phases of both the software development lifecycle and database development lifecycle. It also covers different database models like hierarchical, network and relational.
This document provides information on data base management systems and storage management. It defines key concepts such as data, databases, database systems, database management systems (DBMS), and storage. It describes different types of databases like operational databases and distributed databases. It also discusses database users such as administrators, designers, and end users. The document outlines important database concepts including transactions, ACID properties, storage management, and different types of storage.
This document provides an overview of database management systems and the entity relationship model. It discusses:
1) The components and purpose of a DBMS including data storage and management, data independence, and concurrent access.
2) Database users including administrators, designers, end users, and application developers.
3) The three schema architecture including the internal, conceptual, and external levels and mappings between them.
4) Entity relationship modeling concepts such as entities, attributes, relationships and constraints which allow conceptualization of data.
CP 121 introduces database systems. The lecture covers file-based systems, the database approach, common database uses, users, DBMS components and functions, and advantages and disadvantages of databases. Key points include: File-based systems are limited but the database approach offers data sharing and consistency. A DBMS manages data storage, transactions, integrity, security and more. Database users include administrators, designers, developers and end users who access data through applications.
This document provides an overview of information technology (IT) including its key components and functions. IT deals with using computers and software to store, process, and retrieve information. The backbone of IT is computers, which have hardware and software. Computer hardware includes input, processing, and output units. Computer software includes application software, system software, and utility software. Databases help manage data through database management systems. Operating systems act as an interface between users and hardware. Networks allow computers to connect and share resources through local, metropolitan, and wide area networks. Enterprise resource planning systems integrate organizational data and processes into a single system.
Database management system lecture notesUTSAHSINGH2
DBMS provide an organized collection of interrelated data stored and retrieved digitally in a computer system. A DBMS uses SQL to allow users to define, create, maintain and control access to the database. It consists of several components including a query processor, data dictionary, runtime database manager and data manager. The three schema architecture separates the logical and physical levels to provide data independence and abstraction.
This document provides an overview of database management systems and entity relationship modeling. It begins with definitions of key concepts like data, databases, database management systems and database users. It then describes the three schema architecture for database design including the internal, conceptual and external levels. Entity relationship modeling is explained along with entity types, attributes and relationships. The various symbols used in entity relationship diagrams are shown. Advantages of using entity relationship modeling for database design are provided.
This document discusses database management systems and the database development lifecycle. It defines DBMS as software that manages databases and provides functions like data definition, retrieval, updating and administration. It describes the characteristics of data in databases and advantages like redundancy control and data sharing. The document outlines the planning, analysis, design, implementation and maintenance phases of both the software development lifecycle and database development lifecycle. It also covers different database models like hierarchical, network and relational.
This document provides information on data base management systems and storage management. It defines key concepts such as data, databases, database systems, database management systems (DBMS), and storage. It describes different types of databases like operational databases and distributed databases. It also discusses database users such as administrators, designers, and end users. The document outlines important database concepts including transactions, ACID properties, storage management, and different types of storage.
This document provides an overview of database management systems and the entity relationship model. It discusses:
1) The components and purpose of a DBMS including data storage and management, data independence, and concurrent access.
2) Database users including administrators, designers, end users, and application developers.
3) The three schema architecture including the internal, conceptual, and external levels and mappings between them.
4) Entity relationship modeling concepts such as entities, attributes, relationships and constraints which allow conceptualization of data.
CP 121 introduces database systems. The lecture covers file-based systems, the database approach, common database uses, users, DBMS components and functions, and advantages and disadvantages of databases. Key points include: File-based systems are limited but the database approach offers data sharing and consistency. A DBMS manages data storage, transactions, integrity, security and more. Database users include administrators, designers, developers and end users who access data through applications.
This document provides an overview of information technology (IT) including its key components and functions. IT deals with using computers and software to store, process, and retrieve information. The backbone of IT is computers, which have hardware and software. Computer hardware includes input, processing, and output units. Computer software includes application software, system software, and utility software. Databases help manage data through database management systems. Operating systems act as an interface between users and hardware. Networks allow computers to connect and share resources through local, metropolitan, and wide area networks. Enterprise resource planning systems integrate organizational data and processes into a single system.
Database management system lecture notesUTSAHSINGH2
DBMS provide an organized collection of interrelated data stored and retrieved digitally in a computer system. A DBMS uses SQL to allow users to define, create, maintain and control access to the database. It consists of several components including a query processor, data dictionary, runtime database manager and data manager. The three schema architecture separates the logical and physical levels to provide data independence and abstraction.
This document provides an overview of database management systems and entity relationship modeling. It begins with definitions of key concepts like data, databases, database management systems and database users. It then describes the three schema architecture for database design including the internal, conceptual and external levels. Entity relationship modeling is explained along with entity types, attributes and relationships. The various symbols used in entity relationship diagrams are shown. Advantages of using entity relationship modeling for database design are provided.
This document provides an introduction to database management systems. It discusses the types of information needed for businesses, including operational, tactical, and strategic information. It also describes the limitations of traditional file-based systems, such as data redundancy and inconsistencies. The document then introduces database systems and their components, including the database itself and the database management system software. It explains the three levels of the database system architecture - the internal/physical level, conceptual/logical level, and external/view level - and the mappings between them.
This document defines key terms related to data and information management. It explains that data are facts and statistics collected for reference, while information refers to learned facts about something. Metadata describes other data by summarizing basic details like author and date. A database is a structured set of data stored on a computer that can be accessed in various ways, often using SQL. SQL is the standard language used to manage relational databases and perform tasks like updating or retrieving data.
Introduction to Database Management System.pdfbiswajit62002
This document discusses database management systems and business rules. It defines key terms like data, database, DBMS and describes their purposes. It explains different levels of data abstraction including physical, logical and view levels. It also defines business rules as statements that impose constraints on business processes. Examples of business rule types and characteristics of good rules are provided. Finally, sources of business rules and benefits of explicitly defining them are summarized.
CS3270 - DATABASE SYSTEM - Lecture (1)Dilawar Khan
This document outlines the key topics to be covered in a database course, including: understanding database concepts and the relational model, learning SQL for data manipulation and definition, database design techniques like entity-relationship modeling and normalization, and hands-on experience with Microsoft SQL Server. The course objectives are to help students understand databases and DBMS systems, apply relational concepts and SQL, and be able to design database applications. The document also provides an introduction to databases by comparing traditional file-based systems with the database approach.
The document provides an introduction to databases and database management systems (DBMS). It discusses the limitations of traditional file-based data storage systems, including data duplication, separation, and incompatibility between files. It then describes how a DBMS addresses these issues through a centralized database that can be shared and accessed. Key components of a DBMS environment include hardware, software, data, procedures, and personnel to design, manage and use the database. Advantages of DBMS include data consistency and reduced redundancy, while disadvantages include increased complexity, costs and potential impact of failures.
This document discusses the key aspects of designing and developing a database. It covers database concepts like entity-relationship modeling, normalization, and database development methodologies like SSADM. SSADM involves phases like feasibility study, requirements analysis, logical design, and physical design. The document provides examples of one-to-one, one-to-many and many-to-many relationships. It also discusses applying normalization rules and the database development cycle to design a database for storing product and customer data for a computer hardware store.
Information systems are formal organizational systems designed to collect, process, store, and distribute information using hardware, software, data, people, procedures, and feedback. The six main components that make up an information system are hardware, software, data, people, procedures, and feedback. The systems development life cycle is the conceptual model used to develop or alter information systems throughout their lifecycle and includes requirements, design, implementation, testing, deployment, operations, and maintenance phases. An information system combines hardware, software, databases, networks, and human resources to manage an organization's information flows.
Unit 2 - Chapter 7 (Database Security).pptxSakshiGawde6
This document discusses database security concepts. It explains that databases store sensitive organizational data so security is important. It describes database security layers including server, network, operating system, data encryption, and database levels. Database security involves balancing access for users' jobs with restricting sensitive data. Permissions at each level control what users can access.
The document discusses key concepts related to databases including:
- A database is an organized collection of data stored electronically and accessed via a DBMS.
- Data is logically organized into records, tables, and databases for meaningful representation to users.
- Databases offer advantages like reduced data redundancy, improved data integrity, and easier data sharing.
- Database subsystems include the database engine, data definition language, and data administration.
The document then covers database types, uses, issues, and security concepts.
The document provides an introduction to database management systems (DBMS). It discusses what a database is and how it differs from traditional file processing systems. Some key points include:
1) A DBMS includes a system catalog that describes the database structure and metadata, allowing for data abstraction and independence between programs and data.
2) A DBMS supports multiple views of the data to suit different user needs. It also allows for sharing and concurrent access to data through transaction processing.
3) Characteristics like data abstraction, independence of programs from data structure/storage details, and enforcement of standards make a DBMS more powerful than file processing systems for managing organizational data.
Lec20.pptx introduction to data bases and information systemssamiullahamjad06
The document provides an overview of databases and information systems. It defines what a database is, how data is organized in a hierarchy from bits to files, and the different types of database models including hierarchical, network, and relational. It also discusses how structured query language and query by example are used to retrieve data in relational databases. Finally, it outlines different types of computer-based information systems used in organizations like transaction processing systems, management information systems, and decision support systems.
The document discusses different database concepts:
1) A database is a collection of organized data that can be easily retrieved, inserted, and deleted. Database management systems (DBMS) like MySQL and Oracle are software used to manage databases.
2) The two main data models are the relational model, which organizes data into tables and relations, and the object-oriented model, which represents data as objects with properties and methods.
3) DBMS provide advantages like data sharing, backup/recovery, security, and independence between data and applications. However, they also have disadvantages such as higher costs and complexity.
data warehousing need and characteristics. types of data w data warehouse arc...aasifkuchey85
The document discusses data warehouses and database management systems (DBMS). It provides information on:
- The key difference between online analytical processing (OLAP) and online transaction processing (OLTP) databases and their purposes. OLAP databases contain historical data for analysis while OLTP databases contain current operational data.
- The top-down and bottom-up approaches for constructing a data warehouse, which involve extracting data from external sources, transforming and loading it, and then storing it in data marts or a centralized data warehouse.
- Some common components of a data warehouse architecture including the external sources, staging area, data warehouse, data marts, and data mining.
- Properties and features of a DB
The document provides an introduction to database management systems (DBMS). It discusses that a DBMS is a collection of data and programs used to access the data, which is stored in a database. The primary goal of a DBMS is to store and retrieve database information conveniently and efficiently. Issues with traditional file-based systems like data redundancy, inconsistent data access, and lack of integrity/security are discussed. A DBMS addresses these issues through features like data independence, efficient retrieval, centralized administration and crash recovery.
An application program or app is a type of software designed to perform specific tasks for end users. Examples include word processors, media players, and accounting software. Spreadsheets like Microsoft Excel are used to store, manipulate, and analyze data organized into rows and columns. Database software manages database files and records, enabling easier data entry, editing, updating, and reporting. Specialty software is needed for specific job functions such as web development, publishing, or graphic design.
The document provides an introduction to database management systems (DBMS). It defines a database as a collection of interrelated data organized for efficient retrieval, insertion and deletion. A DBMS is software that allows users to define, create, maintain and control access to the database. It also discusses the benefits of using a DBMS compared to file systems such as reduced redundancy, improved consistency and security. The key components of a DBMS architecture are also summarized such as the query processor, data dictionary, storage manager and query evaluation engine.
The document discusses the key components of a database management system (DBMS). It describes the main components as the data definition language (DDL) and data manipulation language (DML) processors, the system catalog, and the query processor. The system catalog contains metadata that defines the database structure. The query processor transforms queries into low-level instructions. The runtime database manager interfaces with users and applications, handles data access, and enforces security and integrity constraints with components like the transaction manager and scheduler. The data manager is responsible for actual data handling with subcomponents like the recovery manager and buffer manager for transferring data between memory and storage.
This document provides an introduction to database management systems. It discusses the types of information needed for businesses, including operational, tactical, and strategic information. It also describes the limitations of traditional file-based systems, such as data redundancy and inconsistencies. The document then introduces database systems and their components, including the database itself and the database management system software. It explains the three levels of the database system architecture - the internal/physical level, conceptual/logical level, and external/view level - and the mappings between them.
This document defines key terms related to data and information management. It explains that data are facts and statistics collected for reference, while information refers to learned facts about something. Metadata describes other data by summarizing basic details like author and date. A database is a structured set of data stored on a computer that can be accessed in various ways, often using SQL. SQL is the standard language used to manage relational databases and perform tasks like updating or retrieving data.
Introduction to Database Management System.pdfbiswajit62002
This document discusses database management systems and business rules. It defines key terms like data, database, DBMS and describes their purposes. It explains different levels of data abstraction including physical, logical and view levels. It also defines business rules as statements that impose constraints on business processes. Examples of business rule types and characteristics of good rules are provided. Finally, sources of business rules and benefits of explicitly defining them are summarized.
CS3270 - DATABASE SYSTEM - Lecture (1)Dilawar Khan
This document outlines the key topics to be covered in a database course, including: understanding database concepts and the relational model, learning SQL for data manipulation and definition, database design techniques like entity-relationship modeling and normalization, and hands-on experience with Microsoft SQL Server. The course objectives are to help students understand databases and DBMS systems, apply relational concepts and SQL, and be able to design database applications. The document also provides an introduction to databases by comparing traditional file-based systems with the database approach.
The document provides an introduction to databases and database management systems (DBMS). It discusses the limitations of traditional file-based data storage systems, including data duplication, separation, and incompatibility between files. It then describes how a DBMS addresses these issues through a centralized database that can be shared and accessed. Key components of a DBMS environment include hardware, software, data, procedures, and personnel to design, manage and use the database. Advantages of DBMS include data consistency and reduced redundancy, while disadvantages include increased complexity, costs and potential impact of failures.
This document discusses the key aspects of designing and developing a database. It covers database concepts like entity-relationship modeling, normalization, and database development methodologies like SSADM. SSADM involves phases like feasibility study, requirements analysis, logical design, and physical design. The document provides examples of one-to-one, one-to-many and many-to-many relationships. It also discusses applying normalization rules and the database development cycle to design a database for storing product and customer data for a computer hardware store.
Information systems are formal organizational systems designed to collect, process, store, and distribute information using hardware, software, data, people, procedures, and feedback. The six main components that make up an information system are hardware, software, data, people, procedures, and feedback. The systems development life cycle is the conceptual model used to develop or alter information systems throughout their lifecycle and includes requirements, design, implementation, testing, deployment, operations, and maintenance phases. An information system combines hardware, software, databases, networks, and human resources to manage an organization's information flows.
Unit 2 - Chapter 7 (Database Security).pptxSakshiGawde6
This document discusses database security concepts. It explains that databases store sensitive organizational data so security is important. It describes database security layers including server, network, operating system, data encryption, and database levels. Database security involves balancing access for users' jobs with restricting sensitive data. Permissions at each level control what users can access.
The document discusses key concepts related to databases including:
- A database is an organized collection of data stored electronically and accessed via a DBMS.
- Data is logically organized into records, tables, and databases for meaningful representation to users.
- Databases offer advantages like reduced data redundancy, improved data integrity, and easier data sharing.
- Database subsystems include the database engine, data definition language, and data administration.
The document then covers database types, uses, issues, and security concepts.
The document provides an introduction to database management systems (DBMS). It discusses what a database is and how it differs from traditional file processing systems. Some key points include:
1) A DBMS includes a system catalog that describes the database structure and metadata, allowing for data abstraction and independence between programs and data.
2) A DBMS supports multiple views of the data to suit different user needs. It also allows for sharing and concurrent access to data through transaction processing.
3) Characteristics like data abstraction, independence of programs from data structure/storage details, and enforcement of standards make a DBMS more powerful than file processing systems for managing organizational data.
Lec20.pptx introduction to data bases and information systemssamiullahamjad06
The document provides an overview of databases and information systems. It defines what a database is, how data is organized in a hierarchy from bits to files, and the different types of database models including hierarchical, network, and relational. It also discusses how structured query language and query by example are used to retrieve data in relational databases. Finally, it outlines different types of computer-based information systems used in organizations like transaction processing systems, management information systems, and decision support systems.
The document discusses different database concepts:
1) A database is a collection of organized data that can be easily retrieved, inserted, and deleted. Database management systems (DBMS) like MySQL and Oracle are software used to manage databases.
2) The two main data models are the relational model, which organizes data into tables and relations, and the object-oriented model, which represents data as objects with properties and methods.
3) DBMS provide advantages like data sharing, backup/recovery, security, and independence between data and applications. However, they also have disadvantages such as higher costs and complexity.
data warehousing need and characteristics. types of data w data warehouse arc...aasifkuchey85
The document discusses data warehouses and database management systems (DBMS). It provides information on:
- The key difference between online analytical processing (OLAP) and online transaction processing (OLTP) databases and their purposes. OLAP databases contain historical data for analysis while OLTP databases contain current operational data.
- The top-down and bottom-up approaches for constructing a data warehouse, which involve extracting data from external sources, transforming and loading it, and then storing it in data marts or a centralized data warehouse.
- Some common components of a data warehouse architecture including the external sources, staging area, data warehouse, data marts, and data mining.
- Properties and features of a DB
The document provides an introduction to database management systems (DBMS). It discusses that a DBMS is a collection of data and programs used to access the data, which is stored in a database. The primary goal of a DBMS is to store and retrieve database information conveniently and efficiently. Issues with traditional file-based systems like data redundancy, inconsistent data access, and lack of integrity/security are discussed. A DBMS addresses these issues through features like data independence, efficient retrieval, centralized administration and crash recovery.
An application program or app is a type of software designed to perform specific tasks for end users. Examples include word processors, media players, and accounting software. Spreadsheets like Microsoft Excel are used to store, manipulate, and analyze data organized into rows and columns. Database software manages database files and records, enabling easier data entry, editing, updating, and reporting. Specialty software is needed for specific job functions such as web development, publishing, or graphic design.
The document provides an introduction to database management systems (DBMS). It defines a database as a collection of interrelated data organized for efficient retrieval, insertion and deletion. A DBMS is software that allows users to define, create, maintain and control access to the database. It also discusses the benefits of using a DBMS compared to file systems such as reduced redundancy, improved consistency and security. The key components of a DBMS architecture are also summarized such as the query processor, data dictionary, storage manager and query evaluation engine.
The document discusses the key components of a database management system (DBMS). It describes the main components as the data definition language (DDL) and data manipulation language (DML) processors, the system catalog, and the query processor. The system catalog contains metadata that defines the database structure. The query processor transforms queries into low-level instructions. The runtime database manager interfaces with users and applications, handles data access, and enforces security and integrity constraints with components like the transaction manager and scheduler. The data manager is responsible for actual data handling with subcomponents like the recovery manager and buffer manager for transferring data between memory and storage.
Similar to Jsjsjskdndidjndndnjdjdjdndjsijsjdndjdudj (20)
We are pleased to share with you the latest VCOSA statistical report on the cotton and yarn industry for the month of March 2024.
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Did you know that drowning is a leading cause of unintentional death among young children? According to recent data, children aged 1-4 years are at the highest risk. Let's raise awareness and take steps to prevent these tragic incidents. Supervision, barriers around pools, and learning CPR can make a difference. Stay safe this summer!
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
Introduction to Jio Cinema**:
- Brief overview of Jio Cinema as a streaming platform.
- Its significance in the Indian market.
- Introduction to retention and engagement strategies in the streaming industry.
2. **Understanding Retention and Engagement**:
- Define retention and engagement in the context of streaming platforms.
- Importance of retaining users in a competitive market.
- Key metrics used to measure retention and engagement.
3. **Jio Cinema's Content Strategy**:
- Analysis of the content library offered by Jio Cinema.
- Focus on exclusive content, originals, and partnerships.
- Catering to diverse audience preferences (regional, genre-specific, etc.).
- User-generated content and interactive features.
4. **Personalization and Recommendation Algorithms**:
- How Jio Cinema leverages user data for personalized recommendations.
- Algorithmic strategies for suggesting content based on user preferences, viewing history, and behavior.
- Dynamic content curation to keep users engaged.
5. **User Experience and Interface Design**:
- Evaluation of Jio Cinema's user interface (UI) and user experience (UX).
- Accessibility features and device compatibility.
- Seamless navigation and search functionality.
- Integration with other Jio services.
6. **Community Building and Social Features**:
- Strategies for fostering a sense of community among users.
- User reviews, ratings, and comments.
- Social sharing and engagement features.
- Interactive events and campaigns.
7. **Retention through Loyalty Programs and Incentives**:
- Overview of loyalty programs and rewards offered by Jio Cinema.
- Subscription plans and benefits.
- Promotional offers, discounts, and partnerships.
- Gamification elements to encourage continued usage.
8. **Customer Support and Feedback Mechanisms**:
- Analysis of Jio Cinema's customer support infrastructure.
- Channels for user feedback and suggestions.
- Handling of user complaints and queries.
- Continuous improvement based on user feedback.
9. **Multichannel Engagement Strategies**:
- Utilization of multiple channels for user engagement (email, push notifications, SMS, etc.).
- Targeted marketing campaigns and promotions.
- Cross-promotion with other Jio services and partnerships.
- Integration with social media platforms.
10. **Data Analytics and Iterative Improvement**:
- Role of data analytics in understanding user behavior and preferences.
- A/B testing and experimentation to optimize engagement strategies.
- Iterative improvement based on data-driven insights.
2. RECORDS MANAGEMENT
• Records management refers to the practice of organizing, storing, and
managing an organization's records throughout their lifecycle.
• It involves the systematic control of records from their creation or
receipt, through their processing, distribution, maintenance, and
disposition.
• Records management ensures that records are properly organized,
easily accessible, and maintained in a secure and compliant manner.
• It helps organizations effectively manage their information assets,
ensure regulatory compliance, facilitate decision-making, and
preserve valuable records for future reference.
3. TERMINOLOGIES
• DATA can be defined as facts, statistics, or information that are
collected together for reference, analysis, or calculation.
• DATABASE is an organized collection of data stored and accessed
electronically.
• APPLICATION PROGRAMS, also known as applications or software
applications, are computer programs designed to perform specific
tasks or provide specific functionality to users.
• AN INTERFACE, in the context of computing, is a shared boundary
across which two separate components of a computer system
exchange information
4. DATA
• Data can be defined as facts, statistics, or information that are collected
together for reference, analysis, or calculation.
• Fact, is a statement or piece of information that can be proven or verified
as true. Facts are objective and can be supported by evidence or data.
• Statistics – a branch of mathematics dealing with the collection, analysis,
interpretation, and presentation of masses of numerical data
• Information – knowledge obtained from investigation, study or instruction
• Reference – the act of referring or consulting; a source of information
(such a book or passage) to which a reader or consulter is referred
• Calculation – the process or an act of calculating
• Calculating – marked by prudent analysis
5. HARDWARE
• Hardware refers to the physical components of a computer system or
electronic device.
• It encompasses all the tangible parts that you can see and touch.
• Hardware is responsible for the input, processing, storage, and output
of data within a computer system.
• Here are some examples of hardware components:
• 1. Central Processing Unit (CPU): The CPU is the brain of the
computer, responsible for executing instructions and performing
calculations.
• It interprets and carries out the commands of a computer program.
6. SOFTWARE
• Software refers to the set of instructions or programs that tell a
computer how to perform specific tasks and operations.
• It is a non-tangible component of a computer system that enables the
hardware to function and carry out desired functions.
• Software can be categorized into two main types: system software
and application software.
7. DEFINITION OF TERMS
A database is an organized collection of data stored and
accessed electronically.
It's designed to hold data, organize it in a logical manner, and
make it easy to manage, control, update, and retrieve when
needed.
Databases can handle data that includes text, numbers,
images, and other types of information.
DATABASE
8. INTERFACE
• An interface, in the context of computing, is a shared boundary across
which two separate components of a computer system exchange
information.
• This exchange can occur between software, computer hardware,
peripheral devices, humans, and combinations of these.
• There are various types of interfaces, including:
• 1. User Interface (UI): This is the space where interactions between
humans and machines occur. It can include display screens,
keyboards, a mouse, and the appearance of a desktop.
9. APPLICATION PROGRAMS
• Application programs, also known as applications or software
applications, are computer programs designed to perform specific
tasks or provide specific functionality to users.
• They are created to fulfill various needs, such as productivity,
entertainment, communication, and more.
• Application programs can be categorized into different types based on
their purpose and functionality.
• Some common types of application programs include:
• 1. Word Processing Programs: These programs are used for creating,
editing, and formatting text documents, such as Microsoft Word or
Google Docs.
10. PROGRAMS
• In the context of computing, a program, also known as software or
computer program, is a set of instructions that tells a computer how
to perform a specific task or series of tasks.
• It is a sequence of instructions written in a programming language
that is executed by a computer or other computing devices.
• Programs can be classified into different types based on their purpose
and functionality. Some common types of programs include:
• 1. Operating System (OS) Programs: These programs manage
computer hardware and software resources and provide a platform
for other programs to run. Examples include Windows, macOS, and
Linux.
11. DATABASE ENGINE
• A database engine, also known as a database management system
(DBMS), is a software system that provides the tools and functionality
to manage and manipulate databases.
• It serves as an interface between the user or application and the
underlying database, facilitating the storage, retrieval, and
manipulation of data.
• The database engine is responsible for handling tasks such as data
organization, storage, retrieval, indexing, security, and concurrency
control.
• It provides a set of functions and commands that allow users or
applications to interact with the database, perform queries, insert,
update, and delete data, and manage the overall structure and
integrity of the database.
12. DATABASE SCHEMA
• A database schema is a logical blueprint or structure that defines the
organization, layout, and relationships of a database.
• It represents the overall design and structure of a database, including
tables, columns, data types, constraints, and relationships between
tables.
• The database schema defines the framework for organizing and
storing data in a structured manner.
• It determines the rules and constraints that govern the data and
ensures data integrity and consistency.
• The schema also defines the access permissions and security settings
for different users or roles.
13. CONCURRENCY
• Concurrency refers to the ability of a system or program to handle
multiple tasks or processes simultaneously or in overlapping time
intervals.
• It allows for the execution of multiple tasks concurrently, making the
most efficient use of available resources and improving overall system
performance.
• In the context of computing, concurrency can be achieved through
various techniques, such as multitasking, multithreading, or parallel
processing.
14. DATA INTEGRITY
• Data integrity refers to the accuracy, consistency, and reliability of
data over its entire lifecycle.
• It ensures that data remains complete, valid, and reliable throughout
its creation, storage, retrieval, and modification processes.
• Maintaining data integrity is crucial for organizations as it ensures
that the data they rely on is trustworthy and accurate.
15. CHANGE MANAGEMENT
• Change management in the context of database administration refers to the process of
planning, implementing, and controlling changes to a database system in a structured
and controlled manner.
• It involves managing modifications, updates, and upgrades to the database
infrastructure, schema, configuration, or application code to ensure smooth transitions
and minimize disruptions to the database environment.
• The goal of change management in database administration is to maintain the stability,
integrity, and performance of the database system while introducing necessary changes.
• It involves assessing the impact of changes, planning and coordinating the
implementation, and monitoring the results to ensure that the changes are successful
and meet the desired objectives.
• Here is an example of change management in database administration:
• Let's consider a scenario where a company decides to upgrade its database management
system from an older version to a newer version.
16. BACKUP
• In DBMS (Database Management System), a backup refers to the process of
creating a copy of the database or its components to protect against data
loss or corruption.
• It involves making duplicate copies of the database files, transaction logs,
or other relevant data to ensure that a restored version of the database
can be used in case of a failure, disaster, or accidental deletion.
• Backups are essential in database management for several reasons:
• 1. Data Recovery: Backups serve as a means to recover data in the event of
data loss due to hardware failures, software errors, human errors, or
natural disasters.
• By having a backup, organizations can restore the database to a previous
state and minimize the impact of data loss.
17. RECOVERY
• In DBMS (Database Management System), recovery refers to the process of
restoring a database to a consistent and usable state after a failure or a
system crash. The recovery process aims to recover the database to a point
where data integrity is maintained, and the database can continue
functioning without data loss or corruption.
• There are two main components of recovery in DBMS:
• 1. Undo Recovery (Rollback): Undo recovery, also known as rollback,
involves undoing or reversing the changes made by incomplete or
uncommitted transactions. When a failure occurs, any transactions that
were in progress but not yet committed need to be rolled back to maintain
data consistency. This ensures that the database is restored to a state as if
the transaction had never occurred.
18. ROLLBACK
• In DBMS (Database Management System), rollback refers to the
process of undoing or reversing the changes made by an incomplete
or uncommitted transaction. It is a part of the recovery process and is
used to restore the database to a consistent state after a failure or
system crash.
• When a transaction is in progress but has not yet been committed, it
may encounter an error, a system failure, or be explicitly rolled back
by the user or application. In such cases, the changes made by the
transaction need to be undone to maintain data consistency and
integrity.
19. LOGGING
• In DBMS (Database Management System), logging refers to the
process of recording and storing a sequential record of all the changes
made to a database. It involves capturing the details of transactions,
including the before and after values of data items modified by the
transactions.
20. AUDITING
• In DBMS (Database Management System), auditing refers to the
process of monitoring and recording activities and operations
performed on a database.
21. STORAGE
• In DBMS (Database Management System), storage refers to the
physical or logical components and mechanisms used to store and
manage data within a database.
• It involves the organization, allocation, and management of data on
storage devices, such as hard drives, solid-state drives, or cloud
storage. Storage in DBMS plays a crucial role in ensuring the
availability, reliability, and performance of the database system.
•
22. APPLICATION PROGRAMMING INTERFACE
(API)
• In DBMS (Database Management System), an API (Application
Programming Interface) refers to a set of rules and protocols that
allow applications to interact with the database system.
• It provides a standardized interface for communication and enables
developers to access, manipulate, and retrieve data from the
database. APIs in DBMS serve as a bridge between the application
layer and the database layer, allowing applications to send requests
and receive responses from the database.
23. OVERHEAD
• In general terms, overhead refers to the additional or extra costs,
time, resources, or effort required to perform a task or achieve a goal.
• It represents the indirect or supplementary expenses or burdens
associated with a particular activity or process. In various contexts,
overhead can refer to different aspects:
24. ITERATION
Iteration, in general, refers to the act of repeating a process or a set of
steps multiple times. It involves performing a series of actions or
operations in a loop until a specific condition is met or a desired
outcome is achieved.