This document provides an introduction to databases including:
- It defines what a database is and how data is organized into tables with rows and columns.
- It discusses some common database management systems like Microsoft Access, MySQL, and SQL Server.
- It outlines some key components of a database management system environment including hardware, software, data, procedures, and people.
- It also briefly mentions some potential disadvantages of database management systems like complexity, size, costs, and performance issues.
A database administrator is responsible for installing, configuring, upgrading, administering, monitoring and maintaining databases. Key responsibilities include database design, performance and capacity issues, data replication, and table maintenance. DBAs ensure proper data organization and management through their skills in SQL, database design, and knowledge of database management systems and operating systems. There are several types of DBAs based on their specific roles like system DBA, database architect, and data warehouse administrator.
This document provides an overview of databases and database management systems (DBMS). It discusses how databases evolved from file systems to address flaws in data management. It describes what a DBMS is and its functions in managing the database structure and controlling data access. The document also summarizes different database models including hierarchical, network, relational, entity-relationship, and object-oriented models. It highlights advantages and disadvantages of each model.
The document provides an overview of relational database management system (RDBMS) concepts. It discusses what a database is, different database types like hierarchical, network, relational and object relational. It also explains the relational model proposed by Dr. E.F. Codd, how it uses tables, rows and columns. Key concepts covered include relationships, constraints, keys, normalization and transactions. Entity relationship modeling and diagramming are demonstrated through an example involving producers, depots, collection agents and procurement records.
This document provides an overview of database concepts and terminology. It discusses different types of databases based on number of users (single, multi, workgroup, enterprise), number of computers used (centralized, distributed), and how up-to-date the data is (production, data warehouse). It also covers database categorizations, the relational model, entity types and occurrences, relationship types and occurrences, attributes, keys, and E.F. Codd's 12 rules for relational databases.
The document discusses database management systems and their advantages over traditional file systems. It covers key concepts such as:
1) Databases organize data into tables with rows and columns to allow for easier querying and manipulation of data compared to file systems which store data in unstructured files.
2) Database management systems employ concepts like normalization, transactions, concurrency and security to maintain data integrity and consistency when multiple users are accessing the data simultaneously.
3) The logical design of a database is represented by its schema, while a database instance refers to the current state of the data stored in the database tables at a given time.
This document provides an overview of database systems and database management systems (DBMS). It discusses the limitations of file-based systems, how the database approach addresses these limitations, the typical components of a DBMS environment including hardware, software, data, procedures and personnel. A brief history of database systems is presented starting from the 1960s. The advantages of DBMSs like data consistency and sharing are outlined as well as some disadvantages such as complexity and costs.
The document provides an overview of databases and their advantages over traditional file systems. It discusses key database concepts like data hierarchy, entities and attributes, database models, and components. The main points are:
- Databases organize related data centrally for efficient data sharing and management, avoiding data duplication found in file systems.
- Key concepts include data hierarchy, database components, architecture with three logical levels, and entity-attribute modeling.
- Popular database models include hierarchical, network, and relational models, with relational being most common today.
- Database languages like DDL and DML manipulate and query the database, while the data dictionary documents the stored data.
This chapter introduces database systems and their advantages over traditional file systems. It discusses the components of a database system including the database, database management system (DBMS), and their roles in data storage and access. Databases have evolved from file systems to address issues like data redundancy, inconsistency, and dependence on structure and storage characteristics. The chapter outlines different types of databases and the importance of database design. It provides examples of problems in traditional file system data management to illustrate improvements made by modern database systems.
A database administrator is responsible for installing, configuring, upgrading, administering, monitoring and maintaining databases. Key responsibilities include database design, performance and capacity issues, data replication, and table maintenance. DBAs ensure proper data organization and management through their skills in SQL, database design, and knowledge of database management systems and operating systems. There are several types of DBAs based on their specific roles like system DBA, database architect, and data warehouse administrator.
This document provides an overview of databases and database management systems (DBMS). It discusses how databases evolved from file systems to address flaws in data management. It describes what a DBMS is and its functions in managing the database structure and controlling data access. The document also summarizes different database models including hierarchical, network, relational, entity-relationship, and object-oriented models. It highlights advantages and disadvantages of each model.
The document provides an overview of relational database management system (RDBMS) concepts. It discusses what a database is, different database types like hierarchical, network, relational and object relational. It also explains the relational model proposed by Dr. E.F. Codd, how it uses tables, rows and columns. Key concepts covered include relationships, constraints, keys, normalization and transactions. Entity relationship modeling and diagramming are demonstrated through an example involving producers, depots, collection agents and procurement records.
This document provides an overview of database concepts and terminology. It discusses different types of databases based on number of users (single, multi, workgroup, enterprise), number of computers used (centralized, distributed), and how up-to-date the data is (production, data warehouse). It also covers database categorizations, the relational model, entity types and occurrences, relationship types and occurrences, attributes, keys, and E.F. Codd's 12 rules for relational databases.
The document discusses database management systems and their advantages over traditional file systems. It covers key concepts such as:
1) Databases organize data into tables with rows and columns to allow for easier querying and manipulation of data compared to file systems which store data in unstructured files.
2) Database management systems employ concepts like normalization, transactions, concurrency and security to maintain data integrity and consistency when multiple users are accessing the data simultaneously.
3) The logical design of a database is represented by its schema, while a database instance refers to the current state of the data stored in the database tables at a given time.
This document provides an overview of database systems and database management systems (DBMS). It discusses the limitations of file-based systems, how the database approach addresses these limitations, the typical components of a DBMS environment including hardware, software, data, procedures and personnel. A brief history of database systems is presented starting from the 1960s. The advantages of DBMSs like data consistency and sharing are outlined as well as some disadvantages such as complexity and costs.
The document provides an overview of databases and their advantages over traditional file systems. It discusses key database concepts like data hierarchy, entities and attributes, database models, and components. The main points are:
- Databases organize related data centrally for efficient data sharing and management, avoiding data duplication found in file systems.
- Key concepts include data hierarchy, database components, architecture with three logical levels, and entity-attribute modeling.
- Popular database models include hierarchical, network, and relational models, with relational being most common today.
- Database languages like DDL and DML manipulate and query the database, while the data dictionary documents the stored data.
This chapter introduces database systems and their advantages over traditional file systems. It discusses the components of a database system including the database, database management system (DBMS), and their roles in data storage and access. Databases have evolved from file systems to address issues like data redundancy, inconsistency, and dependence on structure and storage characteristics. The chapter outlines different types of databases and the importance of database design. It provides examples of problems in traditional file system data management to illustrate improvements made by modern database systems.
The document provides an overview of the role and responsibilities of a database administrator (DBA). It discusses that a DBA supervises databases and database management systems to ensure availability. Key responsibilities include database security, monitoring, backup/recovery, and performance tuning. DBAs must have both technical skills and knowledge of database platforms. While important, the DBA role is challenging as it involves being available to resolve various technical issues at any time from different stakeholders. The document also provides salary data for DBA roles from an external source.
This document provides an overview of data modeling concepts. It discusses the importance of data modeling, the basic building blocks of data models including entities, attributes, and relationships. It also covers different types of data models such as conceptual, logical, and physical models. The document discusses relational and non-relational data models as well as emerging models like object-oriented, XML, and big data models. Business rules and their role in database design are also summarized.
This document provides an overview of key database concepts, including:
- Types of databases and database management systems (DBMS) functions
- Data models like relational, hierarchical, and object-oriented
- The three-schema architecture with conceptual, internal, and external schemas
- Languages used to define and manipulate database structures and data
- Centralized and client-server database system architectures
This document provides an overview of relational database management systems (RDBMS). It defines RDBMS as a system that structures data into tables with rows and columns, and can relate these tables through common fields. The key aspects covered include relational algebra operations like select, project, join; structured query language (SQL) for manipulating and retrieving data; and the advantages of RDBMS like supporting a tabular data structure, multi-user access, and imposing integrity constraints.
A database is a collection of data that can be used alone or combined to answer users' questions. A database management system (DBMS) provides programs to manage databases, control data access, and include a query language. When designing a database, it is important to structure the data so that specific records can be easily accessed, the database can respond to different questions, minimal storage is used, and redundant data is avoided. Key concepts in database design include entities, attributes, records, primary keys, foreign keys, and relationships between tables.
The document provides information about the CENG 302 Introduction to Database Management Systems course taught by Nihan Kesim Çiçekli including the instructor's contact information, lecture times, course website, textbook references, grading breakdown, policies, and course outline. The course outline covers topics such as the relational data model, SQL, entity-relationship modeling, database design, storage devices, and what a database management system is.
This document discusses database normalization and different normal forms including 1NF, 2NF, 3NF, and BCNF. It defines anomalies like insertion, update, and deletion anomalies that can occur when data is not normalized. Examples are provided to illustrate the different normal forms and how denormalizing data can lead to anomalies. The key aspects of each normal form like removing repeating groups (1NF), removing functional dependencies on non-prime attributes (2NF), and removing transitive dependencies (3NF, BCNF) are explained.
A data dictionary is a “virtual database” containing metadata (data about data). Data dictionary holds information about the database and the data that it stores.
This document provides an introduction to databases, including their purpose, types, and structured models. It defines a database as a collection of organized data and describes how they allow users to easily store, manage, update, and access information. The key types are operational databases for day-to-day operations and analytical databases for long-term analysis. Structured database models discussed include hierarchical, network, relational, entity-relationship, dimensional, and object-relational. Relational database terminology like data, information, tables, records, fields, keys, and relationships are also defined.
This document defines database and DBMS, describes their advantages over file-based systems like data independence and integrity. It explains database system components and architecture including physical and logical data models. Key aspects covered are data definition language to create schemas, data manipulation language to query data, and transaction management to handle concurrent access and recovery. It also provides a brief history of database systems and discusses database users and the critical role of database administrators.
This document provides an overview of fundamentals of database design. It discusses what a database is, the difference between data and information, and the purpose of database systems. It also covers database definitions and fundamental building blocks like tables and records. Additionally, the document discusses selecting an appropriate database system, database development steps, and considerations for quality control and data entry.
The document compares file systems and database management systems (DBMS) for storing a company's 500GB of employee, department, product, and sales data. It notes several drawbacks of using a file system, including data redundancy, integrity issues, restricted concurrent access, and lack of flexibility. It then outlines key advantages of using a DBMS instead, such as data sharing, enforcement of security and integrity, reduction of redundancy, and support for concurrent access and crash recovery.
The document discusses the entity-relationship (E-R) data model. It defines key concepts in E-R modeling including entities, attributes, entity sets, relationships, and relationship sets. It describes different types of attributes and relationships. It also explains how to represent E-R diagrams visually using symbols like rectangles, diamonds, and lines to depict entities, relationships, keys, and cardinalities. Primary keys, foreign keys, and weak entities are also covered.
The document defines and discusses databases. It states that a database is a collection of interrelated data stored together to serve multiple applications. It also defines a database management system as a computer-based record keeping system. The document notes that databases overcome limitations of typical file processing systems like data redundancy, inconsistency, inability to share data, lack of standardization and insecure data. It discusses the advantages of databases like reduced redundancy, controlled inconsistency, shared data, standardized data, secured data and integrated data. Finally, it provides an overview of database design levels from external views to the conceptual and physical levels.
The document discusses database management systems and data independence. It defines data independence as the ability to change the database schema at one level without requiring changes at other levels. There are two types of data independence: logical data independence, which allows changing the conceptual schema without changing the external schema; and physical data independence, which allows changing the internal schema without changing the conceptual schema. The document provides examples of each type of data independence and explains the importance of data independence for database maintenance and flexibility.
Whenever you make a list of anything – list of groceries to buy, books to borrow from the library, list of classmates, list of relatives or friends, list of phone numbers and so o – you are actually creating a database.
An example of a business manual database may consist of written records on a paper and stored in a filing cabinet. The documents usually organized in chronological order, alphabetical order and so on, for easier access, retrieval and use.
Computer database are those data or information stored in the computer. To arrange and organize records, computer databases rely on database software
Microsoft Access is an example of database software.
This document discusses different types of data models, including hierarchical, network, relational, and object-oriented models. It focuses on explaining the relational model. The relational model organizes data into tables with rows and columns and handles relationships using keys. It allows for simple and symmetric data retrieval and integrity through mechanisms like normalization. The relational model is well-suited for the database assignment scenario because it supports linking data across multiple tables using primary and foreign keys, and provides query capabilities through SQL.
This document provides an overview of data modeling, including definitions of key concepts like data models and data modeling. It describes the evolution of popular data models from hierarchical to network to relational to entity-relationship to object-oriented models. For each model, it outlines the basic concepts, advantages, and disadvantages. The document emphasizes that newer data models aimed to address shortcomings of previous approaches and capture real-world data and relationships.
UNIT machine learning unit 1,algorithm pdfOmarFarooque9
This document provides an introduction to database management systems. It defines key concepts like data, databases, and file processing systems. It describes the disadvantages of file processing systems like data redundancy, inconsistency, isolation, and integrity and security issues. It then contrasts file processing systems with database management systems, which aim to address those disadvantages. The document discusses different types of databases and data models, including relational, entity-relationship, object-based, and semi-structured models. It also covers database architecture, data abstraction, and DBMS components.
This document provides an overview of key concepts related to database systems. It discusses the textbook, course description, definitions of databases, data, structured vs unstructured data, information, metadata, data management, file processing systems vs database approaches. The file processing system had issues like program-data dependency, data duplication, limited sharing, and maintenance. The database approach provides advantages like independence, redundancy, consistency, sharing, and quality.
The document provides an overview of the role and responsibilities of a database administrator (DBA). It discusses that a DBA supervises databases and database management systems to ensure availability. Key responsibilities include database security, monitoring, backup/recovery, and performance tuning. DBAs must have both technical skills and knowledge of database platforms. While important, the DBA role is challenging as it involves being available to resolve various technical issues at any time from different stakeholders. The document also provides salary data for DBA roles from an external source.
This document provides an overview of data modeling concepts. It discusses the importance of data modeling, the basic building blocks of data models including entities, attributes, and relationships. It also covers different types of data models such as conceptual, logical, and physical models. The document discusses relational and non-relational data models as well as emerging models like object-oriented, XML, and big data models. Business rules and their role in database design are also summarized.
This document provides an overview of key database concepts, including:
- Types of databases and database management systems (DBMS) functions
- Data models like relational, hierarchical, and object-oriented
- The three-schema architecture with conceptual, internal, and external schemas
- Languages used to define and manipulate database structures and data
- Centralized and client-server database system architectures
This document provides an overview of relational database management systems (RDBMS). It defines RDBMS as a system that structures data into tables with rows and columns, and can relate these tables through common fields. The key aspects covered include relational algebra operations like select, project, join; structured query language (SQL) for manipulating and retrieving data; and the advantages of RDBMS like supporting a tabular data structure, multi-user access, and imposing integrity constraints.
A database is a collection of data that can be used alone or combined to answer users' questions. A database management system (DBMS) provides programs to manage databases, control data access, and include a query language. When designing a database, it is important to structure the data so that specific records can be easily accessed, the database can respond to different questions, minimal storage is used, and redundant data is avoided. Key concepts in database design include entities, attributes, records, primary keys, foreign keys, and relationships between tables.
The document provides information about the CENG 302 Introduction to Database Management Systems course taught by Nihan Kesim Çiçekli including the instructor's contact information, lecture times, course website, textbook references, grading breakdown, policies, and course outline. The course outline covers topics such as the relational data model, SQL, entity-relationship modeling, database design, storage devices, and what a database management system is.
This document discusses database normalization and different normal forms including 1NF, 2NF, 3NF, and BCNF. It defines anomalies like insertion, update, and deletion anomalies that can occur when data is not normalized. Examples are provided to illustrate the different normal forms and how denormalizing data can lead to anomalies. The key aspects of each normal form like removing repeating groups (1NF), removing functional dependencies on non-prime attributes (2NF), and removing transitive dependencies (3NF, BCNF) are explained.
A data dictionary is a “virtual database” containing metadata (data about data). Data dictionary holds information about the database and the data that it stores.
This document provides an introduction to databases, including their purpose, types, and structured models. It defines a database as a collection of organized data and describes how they allow users to easily store, manage, update, and access information. The key types are operational databases for day-to-day operations and analytical databases for long-term analysis. Structured database models discussed include hierarchical, network, relational, entity-relationship, dimensional, and object-relational. Relational database terminology like data, information, tables, records, fields, keys, and relationships are also defined.
This document defines database and DBMS, describes their advantages over file-based systems like data independence and integrity. It explains database system components and architecture including physical and logical data models. Key aspects covered are data definition language to create schemas, data manipulation language to query data, and transaction management to handle concurrent access and recovery. It also provides a brief history of database systems and discusses database users and the critical role of database administrators.
This document provides an overview of fundamentals of database design. It discusses what a database is, the difference between data and information, and the purpose of database systems. It also covers database definitions and fundamental building blocks like tables and records. Additionally, the document discusses selecting an appropriate database system, database development steps, and considerations for quality control and data entry.
The document compares file systems and database management systems (DBMS) for storing a company's 500GB of employee, department, product, and sales data. It notes several drawbacks of using a file system, including data redundancy, integrity issues, restricted concurrent access, and lack of flexibility. It then outlines key advantages of using a DBMS instead, such as data sharing, enforcement of security and integrity, reduction of redundancy, and support for concurrent access and crash recovery.
The document discusses the entity-relationship (E-R) data model. It defines key concepts in E-R modeling including entities, attributes, entity sets, relationships, and relationship sets. It describes different types of attributes and relationships. It also explains how to represent E-R diagrams visually using symbols like rectangles, diamonds, and lines to depict entities, relationships, keys, and cardinalities. Primary keys, foreign keys, and weak entities are also covered.
The document defines and discusses databases. It states that a database is a collection of interrelated data stored together to serve multiple applications. It also defines a database management system as a computer-based record keeping system. The document notes that databases overcome limitations of typical file processing systems like data redundancy, inconsistency, inability to share data, lack of standardization and insecure data. It discusses the advantages of databases like reduced redundancy, controlled inconsistency, shared data, standardized data, secured data and integrated data. Finally, it provides an overview of database design levels from external views to the conceptual and physical levels.
The document discusses database management systems and data independence. It defines data independence as the ability to change the database schema at one level without requiring changes at other levels. There are two types of data independence: logical data independence, which allows changing the conceptual schema without changing the external schema; and physical data independence, which allows changing the internal schema without changing the conceptual schema. The document provides examples of each type of data independence and explains the importance of data independence for database maintenance and flexibility.
Whenever you make a list of anything – list of groceries to buy, books to borrow from the library, list of classmates, list of relatives or friends, list of phone numbers and so o – you are actually creating a database.
An example of a business manual database may consist of written records on a paper and stored in a filing cabinet. The documents usually organized in chronological order, alphabetical order and so on, for easier access, retrieval and use.
Computer database are those data or information stored in the computer. To arrange and organize records, computer databases rely on database software
Microsoft Access is an example of database software.
This document discusses different types of data models, including hierarchical, network, relational, and object-oriented models. It focuses on explaining the relational model. The relational model organizes data into tables with rows and columns and handles relationships using keys. It allows for simple and symmetric data retrieval and integrity through mechanisms like normalization. The relational model is well-suited for the database assignment scenario because it supports linking data across multiple tables using primary and foreign keys, and provides query capabilities through SQL.
This document provides an overview of data modeling, including definitions of key concepts like data models and data modeling. It describes the evolution of popular data models from hierarchical to network to relational to entity-relationship to object-oriented models. For each model, it outlines the basic concepts, advantages, and disadvantages. The document emphasizes that newer data models aimed to address shortcomings of previous approaches and capture real-world data and relationships.
UNIT machine learning unit 1,algorithm pdfOmarFarooque9
This document provides an introduction to database management systems. It defines key concepts like data, databases, and file processing systems. It describes the disadvantages of file processing systems like data redundancy, inconsistency, isolation, and integrity and security issues. It then contrasts file processing systems with database management systems, which aim to address those disadvantages. The document discusses different types of databases and data models, including relational, entity-relationship, object-based, and semi-structured models. It also covers database architecture, data abstraction, and DBMS components.
This document provides an overview of key concepts related to database systems. It discusses the textbook, course description, definitions of databases, data, structured vs unstructured data, information, metadata, data management, file processing systems vs database approaches. The file processing system had issues like program-data dependency, data duplication, limited sharing, and maintenance. The database approach provides advantages like independence, redundancy, consistency, sharing, and quality.
This document provides an introduction to database management systems. It defines key concepts like structured and unstructured data, and explains how data can be stored in file systems or databases. The document outlines some issues with file systems like redundancy, inconsistency and lack of security. It then defines what a database and database management system (DBMS) are, describing how a DBMS can create, retrieve, update and delete data from a database. Database languages like DDL for defining schemas and DML for queries and updates are also introduced.
This document outlines the topics that will be covered in an introduction to database lecture, including the relational model, entity relationship diagrams, normalization, SQL, and assessment details. It discusses the ANSI/SPARC three-level architecture for database systems, with the internal level dealing with physical storage, the conceptual level with logical organization, and external levels providing customized views for users. Mappings between these levels provide data independence.
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This document discusses key concepts related to database management. It defines a database as a collection of organized data that allows access and retrieval. It describes how databases store data and generate information. It discusses database management systems, data integrity, qualities of valuable information, and the hierarchy of data including characters, fields, records and files. It differentiates between file processing and database approaches and describes common database functions like data dictionaries, queries, security, backups and recovery.
The document provides an overview of key concepts in database systems including:
1) It defines data, databases, DBMS and typical database system components.
2) It describes different data management approaches including manual, file-based and database approaches.
3) It outlines the functions of a DBMS including data storage, security, and integrity management.
This document provides an introduction to database systems. It discusses what a database is and the functions of a database management system (DBMS). It outlines three approaches to data management - manual, file-based, and database-based. The database approach centralizes data storage and provides tools to ensure data integrity and security. A DBMS performs functions like data storage management, security management, and backup/recovery to maintain the database. The document compares the advantages of database systems like data sharing and improved accessibility over file-based systems.
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 provides information about a database course including:
1) An overview of the course content which covers database fundamentals, the relational model, normalization, conceptual modeling, query languages, and advanced SQL topics.
2) Details about the lecturer including their academic background and publications.
3) Assessment details for the course including exams, labs, and project work accounting for 100% of the grade.
dbms Unit 1.pdf arey bhai teri maa chodungaVaradKadtan1
This document provides an introduction and overview of database management systems (DBMS). It discusses that a DBMS allows for the storage and retrieval of data in a database. It notes some key advantages of DBMS like managing large amounts of data, ensuring data integrity, and allowing multiple users to access shared data. The document also describes database applications, levels of data abstraction, instances and schemas, common data models, and database languages.
The document discusses databases and database management systems. It provides examples of common database applications like banking, universities, sales, and airlines. It defines what a database is, the role of a database management system, and examples of DBMS software. It also compares the advantages and disadvantages of using a database system versus a traditional file system to store data. Key benefits of a DBMS include supporting complex queries, controlling redundancy and consistency, handling concurrent access from multiple users, and providing security and data recovery.
A database is an organized collection of related data stored electronically to be easily accessed, managed, and updated. It consists of collections of records about various entities that are related to each other through fields. A database management system (DBMS) is a software program that allows users to define, create, maintain and control access to the database. Compared to traditional file processing systems, DBMS reduces data redundancy and inconsistency, and allows for more efficient sharing of data across multiple users and applications.
CS101- Introduction to Computing- Lecture 37Bilal Ahmed
This document discusses database software and relational databases. It begins by focusing on issues with data management as the amount of data increases. Relational databases are introduced as a way to organize large amounts of interrelated data across multiple tables that can be queried. Examples of database management software are provided. The document then demonstrates creating related tables to store book inventory and customer order data. It discusses how a report can be generated by combining data from these tables. Finally, an assignment is provided to design a database with two tables, populate them with data, and generate a report.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
2. Contents of this chapter
• Data
• Information
• Introduction to File processing system
• Problems in file Processing System
• Introduction to Database
• Advantages of Database
• Applications of Database
• Database Management System
• Common Database Management System
• Components of DBMS Environment
• Disadvantages of DBMS
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3. Data
3
• Collection of raw facts and figures.
• Data can be collect from different sources but it is not
meaning for making decisions.
• Data may be: Numbers, Characters, Symbols, pictures,
sounds etc..
• Types of data: Numeric data, Alphabetic data and
Alphanumeric data.
4. Information
• Processed data is called information
• It is more meaningful than data and is used for making decisions.
• Data is used as input for the processing and information is
output for this processing.
4
Data Processing Information
5. File Processing System
• In past many organization stored data in files on tap or disk.
• Data was managed using file-processing system.
• Each organization has its own set of files.
• Record in one file are not related to the record in other file.
• No relation between files.
5
7. Data redundancy
• In file processing system the same data may be duplicated in
several files.
• E.g. there are two files “Student” and “Library”. the file Student”
contains the Roll No, name and address of all students.
• The library contain the Roll No, name etc.
• it means the data of one student appear in two files.
• This is known as data redundancy.
• Same data may appear in many files which is difficult to
manage.
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8. Redundancy example
Student file Hostel File
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Roll No: 123
Name: Ali
Address: Dir
Program: BCS
Semester: 7th
Session:2012-16
RegNo: ab-3455
--------
-------
--------
Roll No: 123
Name: Ali
Address: Dir
Program: BCS
Semester: 7th
Hostel: szic hostel
Room: 5 Block B
Hostel dues: 10000
-------
-------
-------
Redundant information
9. Inconsistency
• Inconsistency means that two files may contain different
data of the same student.
• For example if address of the student is changed in one file then
you will must change the address in other files.
• if student information are stored in student file and same student
information are stored in hostel file.
• If any changed occur in one file then you must update the
subsequent file as well.
• In File processing system many files contains the data of same
student
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10. Inconsistency Example
10
Student file Hostel FileStudent file Hostel File
Roll No: 123
Name: Ali
Address: Dir
Program: BCS
Semester: 7th
Session:2012-16
RegNo: ab-3455
--------
-------
--------
Roll No: 123
Name: Ali
Address: Swat
Program: BCS
Semester: 7th
Hoste: szic hostel
Room: 5 Block B
Hostel dues: 10000
-------
-------
-------
Inconsistent address of the same student
11. Data Isolation
• In file system data is stored in various files
• It become very difficult to retrieve data.
• For example student email are stored in student file and fee info
are stored in Fee file.
• To send an email message to inform a student about his/her fee
you need retrieve data from both files which are difficult.
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12. Data Isolation Example
12
Roll No: 123
Name: Ali
Address: Dir
Program: BCS
Semester: 7th
Email:abc@ini.com
RegNo: ab-3455
--------
Student File
Roll No: 123
Name: Ali
Hostel dues: 1000
Semester: 20000
--------
--------
Account File
Roll No: 123
Name: Ali
Books issued: 9
Card Exp: 1-12- 2013
----
----
Library File
If we want to inform a student by email
that clear his/her dues and return library
Books
• Then we will extract data from student
file, account file and Hostel file which is
difficult in file processing system.
13. Integrity Problems
• Integrity means reliability and accuracy of data.
• In File Processing System it is difficult to sustain the
integrity of the data.
• For example: the name of any student contains alphabets if any
one by mistaken entered number instead of alphabets.
• File Processing system has no integrity checking option.
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14. Integrity Problem
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Roll No: 123
Name: 12345
Address: Dir
Program: BCS
Semester: 7th
Email:abc@ini.com
RegNo: ab-3455
--------
Student File
Name should not be
Composed of numbers
File Processing System
Does not prevent from
This type mistake.
15. Security Problems
• File Processing System does not provide any security on data.
• There is not mechanism in File Processing System for data to
be secured from un authorized access.
• No authentication facility in file processing system.
• Any one can easily access and changed the data.
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16. Security Problem
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Roll No: 123
Name: 12345
Address: Dir
Program: BCS
Semester: 7th
Email:abc@ini.com
RegNo: ab-3455
--------
Authorized User
Can Change
The file data
Un Authorized User
In file processing system no security was defined
Student File
18. What is Database?
• Database can be defined as an organized collection of related
data.
• The word organized means that data is stored in such a way
that the user can:
• Store, manipulate and retrieve data easily
• The word “related” means that a database is normally created to
store the data about a particular topic.
• e.g. Student database contain information about the student i.e his
name, rollno, address, cellno, class etc.
• All data in data base is arranged in tables.
Inayatkhan
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19. What is Database?
• A database is a repository of data, designed to support
efficient data storage, retrieval and maintenance.
• Multiple types of databases exist to suit various industry
requirements.
• A database may be specialized to store:
• binary files
• Documents
• Images
• videos
• geographic data
• etc.
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20. Database forms
• Data can be stored in various forms like:
• relational database
• If data is stored in a tabular form then it is called a relational database
• hierarchical database
• When data is organized in a tree structure form
• It is called a hierarchical database.
• network database
• Data stored as graphs representing relationships between objects is
referred to as a network database.
• In this course, we will focus on relational databases.
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21. Table
• In relational Database data can be store in the form of Tables.
• Tables is the fundamental object of the database structure.
• The basic purpose of a table is to store data.
• A table consists of rows and columns.
• A table is a very convenient way to store data.
• In the Table you can easily:
• Retrieve data
• Delete data
• Insert data
• Update data
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22. Table
Inayatkhan
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Roll No Name Address Email CellNo
1 Ali khan Peshawar ali@yahoo.com 03451122113
2 Adnan Charsada adnan@yahoo.co
m
03331122114
3 Jan Mardan jan@gmail.com 03132255254
STUDENT TABLE
23. Rows/Record
• Rows are the horizotal part of the table.
• It is a collection of related fields.
• For example:
• In the student table, we have three rows.
• Each row contain a record of different student.
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Roll No Name Address Email CellNo
1 Ali khan Peshawar ali@yahoo.com 03451122113
2 Adnan Charsada adnan@yahoo.
com
03331122114
3 Jan Mardan jan@gmail.com 03132255254
24. Columns/Field
• Columns are the vertical part of the table.
• For example:
• In the Student table, all values under “Name” field make a column.
Inayatkhan
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Roll No Name Address Email CellNo
1 Ali khan Peshawar ali@yahoo.com 03451122113
2 Adnan Charsada adnan@yahoo.
com
03331122114
3 Jan Mardan jan@gmail.com 03132255254
25. Types of Database Systems
• PC databases
• Centralized database
• Client/server databases
• Distributed databases
32. Phone Directory
• Phone directory is a simple example of a database.
• A phone directory stores the phone numbers of different
persons .
• you can search any phone number from the phone directory
easily because all phone numbers are stored in an organized
way .
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33. Library
• A library contains thousands of books .
• It is very difficult to handle the records of all these books
without database .
• A database system can be used to store the records of books
members of the library ,issuance and recovery of the books
etc.
• You can use this database to search the required books eaily.
• This database can help you a lot for doing research work.
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34. Accounts
• A database is used to control the accounts system of an
organization .
• The account database keeps the record of all financial
transactions of the organization.
• You can easily perform different calculations to find the
information about your business such as your annual etc.
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35. College
• A college has many students in different classes.
• A database may be used to keep the records of the students
fee transaction ,examination information and other data of
the college.
• You can also store the attendance of the student in the
database.
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36. Airplane ticket reservation
• Database can be used to store passenger information
• A passenger can reserved his/her seat online.
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37. NADRA
• NADRA have its own database
• One of the most secure database in the world
• It store Pakistan citizen information
• Normally Nation Identity Card information
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40. Redundancy Control
• The data in a database appears only once and is not
duplicated.
• for example the data of a student in the college database is
store in one table we access this table for different purposes .
for example :
• if we want to store the marks of the student in a table ,only roll
NO of the student will be used . the second table will be
connected to the student table for accessing the information
about the student as follow
Inayatkhan
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41. Redundancy Control
Inayatkhan
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Roll NO Name Address Email Phone
1 Naveed Mardan Naveed@yahoo. 03469119099
2 Imran Peshawar imran@yahoo.c 03469322089
RollNo Subject Marks
1 Math 90
1 English 60
2 Math 80
2 English 70
Student Table
Marksl table
In the above figure , the details of the
student are stored in the student table.
The Marks table store only the rollno of
the student . the remaining data is not
duplicated . RollNo in the marks table is
duplicated for the joining two tables.
42. Data Consistency
• One benefit of the controlling redundancy is that the data is
consistent.
• If a data item appears only at once place ,it is easy to maintain it.
• You need to update the data , you will update it at only one place.
• This change will automatically take effect at all place where this data
is used.
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43. Data Security
• Data security is the protection of the database from unauthorized
access. The database management system provide several
procedures to maintain data security .the security is maintained by
allowing access to the database through the use of passwords .not
every use of database system should be able to access all the data .
• Database managemen system provides different levels of security
options for different user .
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44. Reduced Development Time
• A database organize data more efficiently than a file processing
system. it is often easier and faster to develop program that use this
data.
• Many database management system also provide several tools to
assist in program development. so it reduces the overall time for
developing application.
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45. Compactness
• The data base management system store data with compact and
efficient manner.
• it required less storage space than the file system. so it saves the
storage resoures of th system and memory is not wasted.
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47. Database Managment System
• A database management system (DBMS) is a collection of programs that
are used to create and mantian a database. DBMS is a general-Purpose
software system that provide the following facilities :
• 1 It provide the facility to define the structure of the database. the user
can specify the data types, format, and constraints for the data to be
stored in the database
• 2 it provide the facility to store the data on some storage medium that
is controlled by the DBMS
• 3 it provide the facilities to insert ,delete , update and retrive specfic
data for generation reports etc.
48. Common DBMS
• MS Access
• MySQL
• SQLite
• SQL Sever
• Oracale
• DB2
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49. Microsoft Access
• Familiar look and feel of Windows
• Easy to start building simple databases
• Can build sophisticated systems
• It’s already on your computer
• True relational database
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63. • MySQL is a very popular, open source database.
• Officially pronounced “my Ess Que Ell” (not my sequel).
• Handles very large databases; very fast performance.
• Why are we using MySQL?
• Free (much cheaper than Oracle!)
• Each student can install MySQL locally.
• Easy to use Shell for creating tables, querying tables, etc.
• Easy to use with Java JDBC
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64. Database Components
DBMS
===============
Design tools
Table Creation
Form Creation
Query Creation
Report Creation
Procedural
language
compiler (4GL)
=============
Run time
Form processor
Query processor
Report Writer
Language Run time
User
Interface
Applications
Application
Programs
Database
Database contains:
User’s Data
Metadata
Application Metadata
65.
66. Components of DBMS
Environment
• Hardware
• PC, workstation, mainframe, a network of computers.
• Software
• DBMS, operating system, network software (if necessary)
and also the application programs.
• Data
• Used by the organization and a description of this data
called the schema.
• Procedures
• Instructions and rules that should be applied to the design
and use of the database and DBMS.
• People
67. Disadvantages of DBMSs
• Complexity
• Size
• Cost of DBMS
• Additional hardware costs
• Performance
• Higher impact of a failure