Database administrators (DBAs) manage databases and are responsible for tasks like creating the database schema, defining storage structures and access methods, modifying the schema or physical organization when needed, granting authorization for data access, and specifying integrity constraints. Other database roles include application programmers, sophisticated users, specialized users, standalone users, native users, and system analysts who are responsible for database design, structure, and properties.
The document discusses the relational data model and query languages. It provides the following key points:
1. The relational data model organizes data into tables with rows and columns, where rows represent records and columns represent attributes. Relations between data are represented through tables.
2. Relational integrity constraints include key constraints, domain constraints, and referential integrity constraints to ensure valid data.
3. Relational algebra and calculus provide theoretical foundations for query languages like SQL. Relational algebra uses operators like select, project, join on relations, while relational calculus specifies queries using logic.
The document discusses key concepts of the relational database model including how tables represent data through relations, attributes, tuples, and domains. It defines primary keys, foreign keys, entity integrity and referential integrity. Views are described as virtual relations defined by queries on base relations that dynamically reflect changes to the underlying data. The purpose of views is to provide security, customization of data access, and simplification of complex queries. There are restrictions on updating data through views.
Guidelines for ER to Relational Mapping.
Mapping rules/ guidelines for mapping various ER constructs to Relational model with appropriate examples
Relational Query Languages Formal Query Languages
Introduction to Relational Algebra
Relational operators
Set operators
Join operators
Aggregate functions.
Grouping operator
Relational Calculus concepts
Relational algebra queries for data retrieval with sample relational schemas. relational algebra operations.
Entity type
Entity sets
Attributes and keys
Relationship model
Mapping Constraints
The ER Model
Cardinality Constraints
Generalization, Specialization and Aggregation
ER Diagram & Database design with the ER Model
Introduction
Relational Model
Concepts
Characteristics
This presentation contains the concepts related to database design using ER Diagram. The content is adapted from the contents of the authors of the book mentioned in the reference.
The document discusses the relational data model and query languages. It provides the following key points:
1. The relational data model organizes data into tables with rows and columns, where rows represent records and columns represent attributes. Relations between data are represented through tables.
2. Relational integrity constraints include key constraints, domain constraints, and referential integrity constraints to ensure valid data.
3. Relational algebra and calculus provide theoretical foundations for query languages like SQL. Relational algebra uses operators like select, project, join on relations, while relational calculus specifies queries using logic.
The document discusses key concepts of the relational database model including how tables represent data through relations, attributes, tuples, and domains. It defines primary keys, foreign keys, entity integrity and referential integrity. Views are described as virtual relations defined by queries on base relations that dynamically reflect changes to the underlying data. The purpose of views is to provide security, customization of data access, and simplification of complex queries. There are restrictions on updating data through views.
Guidelines for ER to Relational Mapping.
Mapping rules/ guidelines for mapping various ER constructs to Relational model with appropriate examples
Relational Query Languages Formal Query Languages
Introduction to Relational Algebra
Relational operators
Set operators
Join operators
Aggregate functions.
Grouping operator
Relational Calculus concepts
Relational algebra queries for data retrieval with sample relational schemas. relational algebra operations.
Entity type
Entity sets
Attributes and keys
Relationship model
Mapping Constraints
The ER Model
Cardinality Constraints
Generalization, Specialization and Aggregation
ER Diagram & Database design with the ER Model
Introduction
Relational Model
Concepts
Characteristics
This presentation contains the concepts related to database design using ER Diagram. The content is adapted from the contents of the authors of the book mentioned in the reference.
This document provides an overview of the relational model for databases. It discusses how data is organized in tables called relations and how the tables are related to each other. The key aspects covered include how the relational model was introduced, how relations represent data as tables with rows and columns, properties of relations like primary keys, and relational algebra operations like select, project, join, union and more.
The document discusses key concepts in relational database management systems including:
1) Everything is represented as relations (tables) with attributes (columns) and tuples (rows) that make up the relations.
2) Schemas define the structure of relations with attributes and primary keys to uniquely identify tuples.
3) Relations can be related through foreign keys that match primary keys in other relations.
4) Integrity rules like entity and referential integrity enforce valid relationships between tuples in different relations.
An Object Oriented DBMS stores data as objects that use object-oriented concepts like classes, inheritance, and encapsulation. Objects have attributes that can be simple like integers or complex like collections. Classes group similar objects and subclasses inherit attributes and behaviors from superclasses. Objects communicate through messages that invoke methods. The DBMS maps classes and objects to tables and tuples in a relational database, which loses some semantic information about class hierarchies.
This document provides an example of student records in an unnormalized form, containing repeating groups. It then demonstrates normalizing the data by removing the repeating groups into multiple tables in first normal form. Further normalization results in separating attributes with partial dependencies and non-key dependencies into their own tables, achieving second and third normal form respectively. The document explains the different normal forms and how normalization helps reduce data anomalies on insert, update and delete operations.
The document discusses the relational database model. It was introduced in 1970 and became popular due to its simplicity and mathematical foundation. The model represents data as relations (tables) with rows (tuples) and columns (attributes). Keys such as primary keys and foreign keys help define relationships between tables and enforce integrity constraints. The relational model provides a standardized way of structuring data through its use of relations, attributes, tuples and keys.
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
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The document discusses the process of conceptual database design using an Entity-Relationship (ER) model. It begins by outlining the main steps: 1) requirements collection and analysis, 2) creating a conceptual schema using a high-level data model, 3) logical design mapping the conceptual schema to a implementation data model, and 4) physical design specifying storage structures. It then provides an example database for a company, describing the key entities, attributes, and relationships between employees, departments, projects, and dependents. Finally, it introduces some basic concepts of ER modeling including entities, attributes, relationships, cardinalities, and weak entities.
The document discusses the relational database model. It begins by defining key terms like data, information, database, and DBMS. It then explains the relational model proposed by E.F. Codd, showing an example student database. Codd's rules for relational databases are listed. Types of database anomalies and keys like super keys, candidate keys, and foreign keys are also defined. The advantages of relational databases include structural independence and conceptual simplicity. Disadvantages include increased hardware needs and the potential for poor database design.
This document summarizes three papers on keyword search over structured databases using an interpretative approach. The first paper discusses building an efficient index table to map keywords to row and column identifiers in the database. The second paper presents a general algorithm with two steps - a publication step to pre-compute indexing, and a search step to lookup keywords and generate SQL queries. The third paper introduces the concept of intrinsic and contextual weights to model the dependency between query keywords and generate a ranked list of query interpretations.
The document discusses object-oriented databases and the need for complex data types that traditional databases cannot support well. It covers the core concepts of the object-oriented data model including objects, classes, inheritance, and object identity. Key advantages of the object-oriented approach include its ability to model complex relationships and enable persistence of programming language objects.
The document discusses several semantic database models including the Semantic Data Model (SDM), Semantic Association Model (SAM), DAPLEX, and Information Flow Objects (IFO) model. It describes the key concepts and constructs of each model such as classes, attributes, relationships, and operations. SDM represents real-world entities as classes with attributes and defines subclass and interclass connections, while SAM models concepts and associations between them using different types of relationships.
Purpose of the data base system, data abstraction, data model, data independence, data definition
language, data manipulation language, data base manager, data base administrator, data base users,
overall structure.
ER Models, entities, mapping constrains, keys, E-R diagram, reduction E-R diagrams to tables,
generatio, aggregation, design of an E-R data base scheme.
Oracle RDBMS, architecture, kernel, system global area (SGA), data base writer, log writer, process
monitor, archiver, database files, control files, redo log files, oracle utilities.
SQL: commands and data types, data definition language commands, data manipulation commands,
data query language commands, transaction language control commands, data control language
commands.
Joins, equi-joins, non-equi-joins, self joins, other joins, aggregate functions, math functions, string
functions, group by clause, data function and concepts of null values, sub-querries, views.
PL/SQL, basics of pl/sql, data types, control structures, database access with PL/SQL, data base
connections, transaction management, data base locking, cursor management.
Edgar Codd at IBM invented the relational database model in 1970 based on 13 rules. A relational database management system (RDBMS) stores data in related tables. RDBMSs help make data easy to store, retrieve, and combine in useful ways. Common RDBMSs include Microsoft SQL Server, Oracle, MySQL, and PostgreSQL. Tables are related through primary and foreign keys, which help enforce referential integrity.
It is a semantic data model that is used for the graphical representation of the conceptual database design. The semantic data models provide more constructs that is why a database design in a semantic data model can contain/represent more details. With a semantic data model, it becomes easier to design the database, at the first place, and secondly it is easier to understand later. We also know that conceptual database is our first comprehensive design. It is independent of any particular implementation of the database, that is, the conceptual database design expressed in E-R data model can be implemented using any DBMS. For that we will have to transform the conceptual database design from E-R data model to the data model of the particular DBMS. There is no DBMS based on the E-R data model, so we have to transform the conceptual database design anyway.
Database Systems - Entity Relationship Modeling (Chapter 4/2)Vidyasagar Mundroy
This document introduces entity-relationship modeling, which is a popular way to design databases. It discusses key concepts such as entities, attributes, relationships, and structural constraints. Entities represent real-world objects, and attributes describe their characteristics. Relationships associate entities, and come in different degrees (binary, ternary). Structural constraints specify how many entities can participate in a relationship, such as one-to-one, one-to-many, or many-to-many relationships. Together, entities, attributes, relationships and constraints form the basis of entity-relationship modeling.
The document discusses object database systems and their advantages over relational database management systems (RDBMS). It notes problems with representing real-world entities in RDBMSs and describes how object-oriented and object-relational database models address these issues better by allowing for inheritance, complex data types, and encapsulation of both data and behavior. The key advantages of object database systems include more closely modeling real-world entities and supporting reuse through inheritance. Object-relational database systems combine object and relational approaches for increased flexibility.
RDBMS. Stands for "Relational Database Management System." An RDBMS is a DBMS designed specifically for relational databases. ... A relational database refers to a database that stores data in a structured format, using rows and columns. This makes it easy to locate and access specific values within the database.
Islamic University Previous Year Question Solution 2018 (ADBMS)Rakibul Hasan Pranto
A database management system (DBMS) is software designed to define, manipulate, retrieve, and manage data in a database. The primary goal of a DBMS is to provide convenient and efficient ways to store and retrieve database information. It manages data by defining the structure for storing information and providing mechanisms for manipulating that information.
The document discusses Codd's rules for relational database management systems (RDBMS). It explains the 13 rules, which include that data should only be represented as values in tables, null values must be supported, and the database description must be queryable using the same relational language as the data. It also defines what constitutes an RDBMS, describes database concepts like normalization, and provides examples of relationships and integrity rules.
This document provides an overview of the relational model for databases. It discusses how data is organized in tables called relations and how the tables are related to each other. The key aspects covered include how the relational model was introduced, how relations represent data as tables with rows and columns, properties of relations like primary keys, and relational algebra operations like select, project, join, union and more.
The document discusses key concepts in relational database management systems including:
1) Everything is represented as relations (tables) with attributes (columns) and tuples (rows) that make up the relations.
2) Schemas define the structure of relations with attributes and primary keys to uniquely identify tuples.
3) Relations can be related through foreign keys that match primary keys in other relations.
4) Integrity rules like entity and referential integrity enforce valid relationships between tuples in different relations.
An Object Oriented DBMS stores data as objects that use object-oriented concepts like classes, inheritance, and encapsulation. Objects have attributes that can be simple like integers or complex like collections. Classes group similar objects and subclasses inherit attributes and behaviors from superclasses. Objects communicate through messages that invoke methods. The DBMS maps classes and objects to tables and tuples in a relational database, which loses some semantic information about class hierarchies.
This document provides an example of student records in an unnormalized form, containing repeating groups. It then demonstrates normalizing the data by removing the repeating groups into multiple tables in first normal form. Further normalization results in separating attributes with partial dependencies and non-key dependencies into their own tables, achieving second and third normal form respectively. The document explains the different normal forms and how normalization helps reduce data anomalies on insert, update and delete operations.
The document discusses the relational database model. It was introduced in 1970 and became popular due to its simplicity and mathematical foundation. The model represents data as relations (tables) with rows (tuples) and columns (attributes). Keys such as primary keys and foreign keys help define relationships between tables and enforce integrity constraints. The relational model provides a standardized way of structuring data through its use of relations, attributes, tuples and keys.
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
The document discusses the process of conceptual database design using an Entity-Relationship (ER) model. It begins by outlining the main steps: 1) requirements collection and analysis, 2) creating a conceptual schema using a high-level data model, 3) logical design mapping the conceptual schema to a implementation data model, and 4) physical design specifying storage structures. It then provides an example database for a company, describing the key entities, attributes, and relationships between employees, departments, projects, and dependents. Finally, it introduces some basic concepts of ER modeling including entities, attributes, relationships, cardinalities, and weak entities.
The document discusses the relational database model. It begins by defining key terms like data, information, database, and DBMS. It then explains the relational model proposed by E.F. Codd, showing an example student database. Codd's rules for relational databases are listed. Types of database anomalies and keys like super keys, candidate keys, and foreign keys are also defined. The advantages of relational databases include structural independence and conceptual simplicity. Disadvantages include increased hardware needs and the potential for poor database design.
This document summarizes three papers on keyword search over structured databases using an interpretative approach. The first paper discusses building an efficient index table to map keywords to row and column identifiers in the database. The second paper presents a general algorithm with two steps - a publication step to pre-compute indexing, and a search step to lookup keywords and generate SQL queries. The third paper introduces the concept of intrinsic and contextual weights to model the dependency between query keywords and generate a ranked list of query interpretations.
The document discusses object-oriented databases and the need for complex data types that traditional databases cannot support well. It covers the core concepts of the object-oriented data model including objects, classes, inheritance, and object identity. Key advantages of the object-oriented approach include its ability to model complex relationships and enable persistence of programming language objects.
The document discusses several semantic database models including the Semantic Data Model (SDM), Semantic Association Model (SAM), DAPLEX, and Information Flow Objects (IFO) model. It describes the key concepts and constructs of each model such as classes, attributes, relationships, and operations. SDM represents real-world entities as classes with attributes and defines subclass and interclass connections, while SAM models concepts and associations between them using different types of relationships.
Purpose of the data base system, data abstraction, data model, data independence, data definition
language, data manipulation language, data base manager, data base administrator, data base users,
overall structure.
ER Models, entities, mapping constrains, keys, E-R diagram, reduction E-R diagrams to tables,
generatio, aggregation, design of an E-R data base scheme.
Oracle RDBMS, architecture, kernel, system global area (SGA), data base writer, log writer, process
monitor, archiver, database files, control files, redo log files, oracle utilities.
SQL: commands and data types, data definition language commands, data manipulation commands,
data query language commands, transaction language control commands, data control language
commands.
Joins, equi-joins, non-equi-joins, self joins, other joins, aggregate functions, math functions, string
functions, group by clause, data function and concepts of null values, sub-querries, views.
PL/SQL, basics of pl/sql, data types, control structures, database access with PL/SQL, data base
connections, transaction management, data base locking, cursor management.
Edgar Codd at IBM invented the relational database model in 1970 based on 13 rules. A relational database management system (RDBMS) stores data in related tables. RDBMSs help make data easy to store, retrieve, and combine in useful ways. Common RDBMSs include Microsoft SQL Server, Oracle, MySQL, and PostgreSQL. Tables are related through primary and foreign keys, which help enforce referential integrity.
It is a semantic data model that is used for the graphical representation of the conceptual database design. The semantic data models provide more constructs that is why a database design in a semantic data model can contain/represent more details. With a semantic data model, it becomes easier to design the database, at the first place, and secondly it is easier to understand later. We also know that conceptual database is our first comprehensive design. It is independent of any particular implementation of the database, that is, the conceptual database design expressed in E-R data model can be implemented using any DBMS. For that we will have to transform the conceptual database design from E-R data model to the data model of the particular DBMS. There is no DBMS based on the E-R data model, so we have to transform the conceptual database design anyway.
Database Systems - Entity Relationship Modeling (Chapter 4/2)Vidyasagar Mundroy
This document introduces entity-relationship modeling, which is a popular way to design databases. It discusses key concepts such as entities, attributes, relationships, and structural constraints. Entities represent real-world objects, and attributes describe their characteristics. Relationships associate entities, and come in different degrees (binary, ternary). Structural constraints specify how many entities can participate in a relationship, such as one-to-one, one-to-many, or many-to-many relationships. Together, entities, attributes, relationships and constraints form the basis of entity-relationship modeling.
The document discusses object database systems and their advantages over relational database management systems (RDBMS). It notes problems with representing real-world entities in RDBMSs and describes how object-oriented and object-relational database models address these issues better by allowing for inheritance, complex data types, and encapsulation of both data and behavior. The key advantages of object database systems include more closely modeling real-world entities and supporting reuse through inheritance. Object-relational database systems combine object and relational approaches for increased flexibility.
RDBMS. Stands for "Relational Database Management System." An RDBMS is a DBMS designed specifically for relational databases. ... A relational database refers to a database that stores data in a structured format, using rows and columns. This makes it easy to locate and access specific values within the database.
Islamic University Previous Year Question Solution 2018 (ADBMS)Rakibul Hasan Pranto
A database management system (DBMS) is software designed to define, manipulate, retrieve, and manage data in a database. The primary goal of a DBMS is to provide convenient and efficient ways to store and retrieve database information. It manages data by defining the structure for storing information and providing mechanisms for manipulating that information.
The document discusses Codd's rules for relational database management systems (RDBMS). It explains the 13 rules, which include that data should only be represented as values in tables, null values must be supported, and the database description must be queryable using the same relational language as the data. It also defines what constitutes an RDBMS, describes database concepts like normalization, and provides examples of relationships and integrity rules.
A database is a collection of logically related data organized for convenient access, usually by programs for specific purposes. A DBMS is software that allows users to define, construct and manipulate databases for various applications. The database and DBMS together form a database system. A DBMS provides advantages like reducing data redundancy and inconsistency, restricting unauthorized access, and enforcing data integrity and security.
This document provides an overview of databases and database management systems (DBMS). It discusses what a database is, components of a database system like users and applications, and examples of DBMS like MySQL and Oracle. It also summarizes key database concepts such as data models, relationships between data using keys, and relational algebra operations for querying databases.
This document provides 21 questions and answers about database management systems. It covers topics such as what a DBMS is, the advantages of using a DBMS, different data models, relational algebra, normalization, and functional dependencies. The document instructs readers to practice the questions well to prepare for exams and interviews related to database management systems. It also provides contact information for getting help with questions.
A database management system (DBMS) is system software for creating and managing databases. The DBMS provides users and programmers with a systematic way to create, retrieve, update and manage data.
A DBMS makes it possible for end users to create, read, update and delete data in a database. The DBMS essentially serves as an interface between the database and end users or application programs, ensuring that data is consistently organized and remains easily accessible.Read more.........
The document discusses modeling data objects in an entity relationship diagram. It covers key concepts like entities, attributes, relationships, and keys. It provides examples of how to represent different types of relationships between entities like one-to-one, one-to-many, and many-to-many. The document also discusses modeling weak entities, documenting the ER diagram, normalizing the data to avoid anomalies, and determining the scope of the database and application system.
The document discusses the Entity-Relationship (ER) model for conceptual database design. It describes the key components of the ER model including entities, attributes, relationships, and keys. It also explains how the ER model maps to a relational schema and database, including the use of tables, rows, columns, primary keys, foreign keys, and integrity constraints. Referential integrity constraints are defined to link tables through foreign key to primary key relationships.
SQL Tutorial - Basics of Structured Query Language Day 1.pdfRiturajDas28
This document provides an overview of SQL and database concepts. It defines what a database is and common database terminology like tables, rows, records, and fields. It describes the different types of database users and common database architectures like single-tier, two-tier, and three-tier. Entity-relationship modeling and database schemas are also explained, along with keys, relationships, and mapping cardinalities. The document concludes with a discussion of Codd's 12 rules for relational databases.
This document discusses database management system (DBMS) architecture and relational database management systems (RDBMS). It describes one-tier, two-tier, and three-tier architectures for DBMS. It also discusses database models including hierarchical, network, and relational models. Additionally, it covers RDBMS concepts such as tables, records, fields, columns, keys including primary keys and foreign keys. It provides examples to illustrate these concepts.
The document discusses various concepts related to databases and DBMS. It defines what a database and DBMS are, describes the advantages and disadvantages of using a DBMS compared to file processing systems, and covers topics like data models, relational algebra, normalization, and transaction management. It provides explanations of key terms through a question and answer format.
This document provides examples and explanations of various SQL concepts including:
1. It describes the advantages of DBMS such as minimizing redundancy, eliminating redundancy, sharing data securely, improving flexibility, and ensuring data integrity.
2. It explains different types of SQL commands - DDL for defining database schema, DML for manipulating data, and DCL for controlling access. Examples are provided for commands like CREATE, ALTER, DROP, SELECT, INSERT, UPDATE, DELETE, GRANT, REVOKE.
3. It defines joins and explains different types of joins like inner join, outer joins, self join and cartesian joins that are used to combine data from multiple tables.
The document provides an overview of database management systems and related concepts. It discusses database components like the data dictionary and data repository. It also covers different data models including hierarchical, network, and relational models. Key concepts covered include entities, attributes, relationships, schemas, and data abstraction which allows users to interact with data without knowing details of how it is structured and stored.
The document discusses database concepts and SQL. It defines a database as an organized collection of related information. A database management system (DBMS) is software that allows users to create, access, manage and control databases. The major components of a DBMS are data, hardware, software and users. Different database models are discussed including hierarchical, network and relational models. Key aspects of the relational model like tables, rows, columns, primary keys and foreign keys are explained.
This document provides an overview of key concepts in database management systems including:
- The main components of a DBMS including the query processor, storage manager, and disk storage.
- The three schema architecture separating the conceptual, internal, and external schemas.
- Database languages like DDL, DML, DCL, and TCL and their purposes.
- Entity-relationship modeling including entities, attributes, relationships, and extensions.
- Different types of database users such as administrators, designers, programmers, and end users.
This document provides an overview of key concepts in database management systems including:
- The main components of a DBMS including the query processor, storage manager, and disk storage.
- The three schema architecture separating the conceptual, internal, and external schemas.
- Database languages like DDL, DML, DCL, and TCL and their purposes.
- Entity-relationship modeling including entities, attributes, relationships, and extensions.
- Different types of database users such as administrators, designers, programmers, and end users.
purpose of database systems, components of dbms, applications of
dbms, three tier dbms architecture, data independence, database schema, instance, data modeling,
entity relationship model, relational model
The document discusses several data models including flat file, hierarchical, network, relational, object-relational, and object-based models. It provides details on the flat file model, describing it as a single two-dimensional array containing data elements in columns and related elements in rows. The object-relational model combines relational and object-oriented features, allowing integration of databases with object-oriented data types and methods. The document also discusses the entity-relationship model, which is an object-based logical model that uses entities, attributes, and relationships to flexibly structure data and specify constraints.
The document discusses several data models including flat file, hierarchical, network, relational, object-relational, and object-based models. It provides details on the flat file model, describing it as a single two-dimensional array containing data elements in columns and related elements in rows. The object-relational model combines relational and object-oriented features, allowing integration of complex data types. The object-based model uses entities, attributes, and relationships, with the entity-relationship model being a commonly used object-based logical model.
Similar to Islamic University Previous Year Question Solution 2019 (ADBMS) (20)
Here are the key differences between supervised and unsupervised learning:
Supervised Learning:
- Uses labeled examples/data to learn. The labels provide correct answers for the learning algorithm.
- The goal is to build a model that maps inputs to outputs based on example input-output pairs.
- Common algorithms include linear/logistic regression, decision trees, k-nearest neighbors, SVM, neural networks.
- Used for classification and regression predictive problems.
Unsupervised Learning:
- Uses unlabeled data where there are no correct answers provided.
- The goal is to find hidden patterns or grouping in the data.
- Common algorithms include clustering, association rule learning, self-organizing maps.
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Islamic University Pattern Recognition & Neural Network 2019 Rakibul Hasan Pranto
The document discusses various topics related to pattern recognition including:
1. Pattern recognition is the automated recognition of patterns and regularities in data through techniques like machine learning. It has applications in areas like optical character recognition, diagnosis systems, and security.
2. There are two main approaches to pattern recognition - sub-symbolic and symbolic. Sub-symbolic uses connectionist models like neural networks while symbolic uses formal structures like strings and automata to represent patterns.
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Islamic University Sample Question Solution 2019 (Biomedical Signal Processing)Rakibul Hasan Pranto
The document contains questions and answers about biomedical signal processing topics. It discusses:
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3. Definitions of common biomedical signals - ECG measures heart electrical activity, EEG measures brain activity, EMG measures muscle activity, and EOG measures eye movements.
4. Components of the ECG signal including the P wave, PQ segment, QRS complex, ST segment, and T wave.
Online Shopping is a lifestyle, e-commerce web applications, which provides various electronic and lifestyle products. This project allows viewing various products available enables registered users to purchase desired products instantly using now Cash on Delivery payment system can place an order by using option. This project provides easy access to Administrators and Managers to view orders placed using Pay Later options.
Google Assistant is a virtual personal assistant developed by Google that can engage in two-way conversations. It is found on Android devices, Google's messaging app Allo, and its smart speaker Google Home. To use it, say "Ok Google" or press and hold the home button on Android. Google Assistant can search the internet, schedule events, control device settings, and access Google account information. It has substitutes like Siri, Bixby, Alexa, and Cortana from other tech companies.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
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Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
Islamic University Previous Year Question Solution 2019 (ADBMS)
1.
2. 1Q. What do you mean by DB? Discuss some applications of it.
Ans: A database is a collection of information that is organized so that it
can be easily accessed, managed and updated. Computer databases
typically contain aggregations of data records or files, containing
information about sales transactions or interactions with specific
customers.
Applications-
3. Q. Describe different levels of database user.
Ans. Database users are the one who really use and take the benefits of database.
1. Application Programmers
2. Sophisticated Users
3. Specialized Users
4. Stand-alone Users
5. Native Users
• Database Administrators - DBA can be a single person or it can be a group of
person. Database Administrator is responsible for everything that is related to
database. He makes the policies, strategies and provides technical supports.
System Analyst - System analyst is responsible for the design, structure and
properties of database. All the requirements of the end users are handled by
system analyst. Feasibility, economic and technical aspects of DBMS is the main
concern of system analyst.
4. Q. Describe the function of DBA.
Database Administrator: One of the main reasons behind using
DBMS is to have central control on both data and the applications
access those data. The person who has such central control over the
data is called a database administrator (DBA). Some of the functions of
DBA are given below-
• Five main functions of a database administrator are:
• ·To create the scheme definition
• ·To define the storage structure and access methods
• ·To modify the scheme and/or physical organization when necessary
• ·To grant authorization for data access
• ·To specify integrity constraints
5. 2Q. Explain database instance and schema
Definition of instance: The data stored in database at a particular moment of time is called instance
of database. For example: In the following diagram, we have a schema that shows the relationship
between three tables: Course, Student and Section. The diagram only shows the design of the
database, it doesn’t show the data present in those tables. Schema is only a structural view(design)
of a database as shown in the diagram below.
Database schema defines the variable declarations in tables that belong to a particular database;
the value of these variables at a moment of time is called the instance of that database.
For example, lets say we have a single table student in the database, today the table has 100
records, so today the instance of the database has 100 records. Lets say we are going to add
another 100 records in this table by tomorrow so the instance of database tomorrow will have 200
records in table. In short, at a particular moment the data stored in database is called the instance,
that changes over time when we add or delete data from the database.
6. Q. Define entity set and relationship set.
Ans. An entity set is a set of entities of the same type (e.g., all persons having an account
at a bank). Entity sets need not be disjoint. For example, the entity set employee (all
employees of a bank) and the entity set customer (all customers of the bank) may have
members in common.
Types of Entity Sets-
• Strong entity set
• Weak entity set
A relationship set is a set of relationships of the same type. ... For example, consider the
two entity sets customer and account. (Fig. 2.1 in the text). We define the relationship
CustAcct to denote the association between customers and their accounts.
Types of Relationship Sets-
• Unary relationship set
• Binary relationship set
• Ternary relationship set
• N-ary relationship se
7. Q. Describe database languages
Database Language
• A DBMS has appropriate languages and interfaces to express database queries and updates.
• Database languages can be used to read, store and update the data in the database.
1. Data Definition Language
• DDL stands for Data Definition Language. It is used to define database structure or pattern.
• It is used to create schema, tables, indexes, constraints, etc. in the database.
• Using the DDL statements, you can create the skeleton of the database.
• Data definition language is used to store the information of metadata like the number of tables and
schemas, their names, indexes, columns in each table, constraints, etc
2. DML stands for Data Manipulation Language. It is used for accessing and manipulating data in a database. It
handles user requests.
3. Data Control Language
• DCL stands for Data Control Language. It is used to retrieve the stored or saved data.
• The DCL execution is transactional. It also has rollback parameters.
4. Transaction Control Language
• TCL is used to run the changes made by the DML statement. TCL can be grouped into a logical transaction.
8. 3Q. Define super key and candidate key
Super Key: Super Key is an attribute (or set of attributes) that is used to uniquely identifies all
attributes in a relation. All super keys can’t be candidate keys but its reverse is true. In a relation,
number of super keys are more than number of candidate keys.
Candidate Key: Candidate key is a set of attributes (or attribute) which uniquely identify the tuples
in a relation or table. As we know that Primary key is a minimal super key, so there is one and only
one primary key in any relation but there is more than one candidate key can take place. Candidate
key’s attributes can contain NULL value which oppose to the primary key.
9. Q. Explain mapping cardinality for binary relationship
• Mapping cardinalities, or cardinality ratios, express the number of entities to which
another entity can be associated via a relationship set.
• Mapping cardinalities are most useful in describing binary relationship sets, although
they can contribute to the description of relationship sets that involve more than two
entity sets.
• For a binary relationship set R between entity sets A and B, the mapping cardinality must
be
• One-to-one. An entity in A is associated with at most one entity in B, and an entity in B
is associated with at most one entity in A
• One-to-many. An entity in A is associated with any number (zero or more) of entities in
B. An entity in B, however, can be associated with at most one entity in A
• Many-to-one. An entity in A is associated with at most one entity in B. An entity in B,
however, can be associated with any number (zero or more) of entities in A.
• Many-to-many.An entity in A is associated with any number (zero or more) of entities in
B, and an entity in B is associated with any number (zero or more) of entities in A.
10. Q. What do you mean by strong entity set & weak entity set? Explain with example.
• Strong Entity: Strong entity is not dependent of any other entity in schema.
Strong entity always has primary key. Strong entity is represented by single
rectangle. Two strong entity’s relationship is represented by single
diamond.
Various strong entities together makes the strong entity set.
• Weak Entity: Weak entity is depend on strong entity to ensure the
existance of weak entity. Like strong entity weak entity does not have any
primary key, It has partial discriminator key. Weak entity is represented by
double rectangle.
The relation between one strong and one weak entity is represented by
double diamond.
11. 4Q. What is quarry language? Classify them.
• Definition : Query language (QL) refers to any computer programming language that requests and
retrieves data from database and information systems by sending queries. It works on user entered
structured and formal programming command based queries to find and extract data from host
databases.
Query language may also be termed database query language.
Query language is primarily created for creating, accessing and modifying data in and out from a
database management system (DBMS). Typically, QL requires users to input a structured command that
is similar and close to the English language querying construct.
• For example, the SQL query: SELECT * FROM
Classify
• Thematic query:
Selection of all objects which achieve the required conditions (attributes). E.g.: "Select all spruce
trees."
• Geometric query:
Selection of all objects which achieve the required spatial conditions. E.g.: "Select all the houses that
are located less than 250 m away from the river".
• Topological query:
Selection of all objects which achieve the required conditions regarding the spatial relations between
the objects. For example: "Select all the buildings that are lying in zone 1".
12. Q. Explain fundamental operations of relational algebra
Relational algebra is a widely used procedural query language. It collects instances of
relations as input and gives occurrences of relations as output. It uses various operation to
perform this action.
Relational algebra operations are performed recursively on a relation. The output of these
operations is a new relation, which might be formed from one or more input relations.
Basic Relational Algebra Operations:
1. Unary Relational Operations
2. Relational Algebra Operations From Set Theory
3. Binary Relational Operations
4. SELECT (σ)
5. Projection(π)
6. Union operation (υ)
7. Intersection
8. Cartesian product(X)
9. Join Operations
13. Q. Explain Cartesian product operations of relational algebra
The Cartesian Product is also an operator which works on two sets. It is
sometimes called the CROSS PRODUCT or CROSS JOIN. It combines the
tuples of one relation with all the tuples of the other relation.
14. 5Q. Describe different part of SQL language.
SQL consists of three components:
• Data Definition Language (DDL)
• Data Manipulation Language (DML)
• Data Control Language (DCL)
The Data Definition Language (DDL). This component of the SQL language is used to create and
modify tables and other objects in the database. For tables there are three main commands:
• CREATE TABLE tablename to create a table in the database
DROP TABLE tablename to remove a table from the database
ALTER TABLE tablename to add or remove columns from a table in the database
The Data Manipulation Language (DML) component of the SQL language is used to manipulate
data within a table. There are four main commands:
• SELECT to select rows of data from a table
INSERT to insert rows of data into a table
UPDATE to change rows of data in a table
DELETE to remove rows of data from a table
The Data Control Language (DCL) This component of the SQL language is used to create
privileges to allow users access to, and manipulation of, the database. There are two main commands:
• GRANT to grant a privilege to a user
REVOKE to revoke (remove) a privilege from a user
15. Q. Explain the basic structure of SQL.
A relational database is a collection of tables. Each table has its own unique name.
The basic structure of an SQL expression consists of three clauses:
• The select clause which corresponds to the projection operation. It is
the list of attributes that will appear in the resulting table.
• The from clause which corresponds to the Cartesian-product
operation. It is the list of tables that will be joined in the resulting
table.
• The where clause which corresponds to the selection operation. It is
the expression that controls the which rows appear in the resulting
table.
Example : select dept_name
from instructor;
where dept_name = ’Comp. Sci.’ and salary > 70000;
16. Q. How can insert & delete data from a table with SQL? Explain with example.
Insert: The main goal of database systems is to store data in the tables. The data is usually supplied
by application programs that run on top of the database. Towards that end, SQL has the INSERT
command that is used to store data into a table. The INSERT command creates a new row in the
table to store data.
INSERT INTO `table_name`(column_1,column_2,...) VALUES (value_1,value_2,...);
Delete command : The basic syntax of the delete command is as shown below.
DELETE FROM `table_name` [WHERE condition];
HERE
•DELETE FROM `table_name` tells MySQL server to remove rows from the table ..
•[WHERE condition] is optional and is used to put a filter that restricts the number of rows
affected by the DELETE query.
If the WHERE clause is not used in the DELETE query, then all the rows in a given table will
be deleted. Before we go into more details discussion the DELETE command, let's insert
some sample data into the movies table to work with.
17. 6Q. What is domain constraints?
Q. What is foreign key? Explain basic concept of it.
Domain constraints can be defined as the definition of a valid set of values
for an attribute. The data type of domain includes string, character, integer,
time, date, currency, etc. The value of the attribute must be available in the
corresponding domain.
A foreign key is a column or group of columns in a relational database table
that provides a link between data in two tables. The concept of referential
integrity is derived from foreign key theory. Foreign keys and their
implementation are more complex than primary keys.
A foreign key is a column or group of columns in a relational database table
that provides a link between data in two tables. It acts as a cross-reference
between tables because it references the primary key of another table,
thereby establishing a link between them.
18. Q. Define database trigger? Explain the trigger mechanism with
an example.
A database trigger is procedural code that is automatically executed in
response to certain events on a particular table or view in a database.
The trigger is mostly used for maintaining the integrity of the
information on the database.
A database trigger is special stored procedure that is run when specific
actions occur within a database. Most triggers are defined to run when
changes are made to a table's data. Triggers can be defined to run
instead of or after DML (Data Manipulation Language) actions such as
INSERT, UPDATE, and DELETE.
• Example –
Suppose, we are adding a tupple to the ‘Donors’ table that is some
person has donated blood. So, we can design a trigger that will
automatically add the value of donated blood to the ‘Blood_record’
table.
19. Continue
Types of Triggers –We can define 6 types of triggers for each table:
• AFTER INSERT activated after data is inserted into the table.
• AFTER UPDATE: activated after data in the table is modified.
• AFTER DELETE: activated after data is deleted/removed from the
table.
• BEFORE INSERT: activated before data is inserted into the table.
• BEFORE UPDATE: activated before data in the table is modified.
• BEFORE DELETE: activated before data is deleted/removed from the
table.
20. 7Q. Define transaction?
Q. Describe ACID properties.
A transaction is a single logical unit of work which accesses and possibly modifies
the contents of a database. Transactions access data using read and write
operations. In order to maintain consistency in a database, before and after the
transaction, certain properties are followed. These are called ACID properties.
21. Q. Explain different states of transaction deadlock & deadlock handling
procedure
Deadlock : Deadlock is a state of a database system having two or more transactions,
when each transaction is waiting for a data item that is being locked by some other
transaction. A deadlock can be indicated by a cycle in the wait-for-graph. This is a
directed graph in which the vertices denote transactions and the edges denote waits
for data items.
• Example:
• For example, in the following wait-for-graph, transaction T1 is waiting for data item X
which is locked by T3. T3 is waiting for Y which is locked by T2 and T2 is waiting for Z which is
locked by T1. Hence, a waiting cycle is formed, and none of the transactions can proceed
executing.
22. Cont.
•DEADLOCK HANDLING
• When a deadlock occurs, different operating systems
respond to them in different non- standard manners.
• The Major approaches are as follows
1. IGNORING DEADLOCK
2. DETECTION
23. 8Q. Short note on (a) RAID level (b) Normalization (c) Sequential file organization
• RAID stands for redundant array of independent disks. The technology combines two or
more physical drives into a logical unit presented as a single hard drive to the operating
system. Mirroring is duplicating data to more than one disk. It can speed read times
because the system can read data from more than one disk.
• Normalization is a database design technique which organizes tables in a manner that
reduces redundancy and dependency of data.
It divides larger tables to smaller tables and links them using relationships.
Sequential file organization : A sequential file contains records organized by the
order in which they were entered. The order of the records is fixed.
Records in sequential files can be read or written only sequentially.
After you place a record into a sequential file, you cannot shorten, lengthen, or
delete the record. However, you can update (REWRITE) a record if the length does
not change. New records are added at the end of the file.
If the order in which you keep records in a file is not important, sequential
organization is a good choice whether there are many