An entity type is defined in ER diagrams as a rectangular box enclosing the entity type name. Attributes name are attached in ovals and are connected to their entity type by using straight lines.
https://www.ducatindia.com/datascienceusingpython
Chapter-3 Data Modeling Using the Entity-Relationship ModelRaj vardhan
The document describes conceptual database design using the entity-relationship (ER) model. It discusses key concepts of the ER model including entities, attributes, relationships, and relationship constraints. An example ER diagram is presented for a COMPANY database with entities for employees, departments, and projects. Relationships include employees working for departments and departments controlling projects. The summary provides an overview of the important concepts and examples covered in the document related to conceptual database design using the ER model.
Fundamentals of database system - Data Modeling Using the Entity-Relationshi...Mustafa Kamel Mohammadi
In this chapter you will learn
Relational data model concepts
What is entity?
What is attribute and it’s types
What is relationship?
What is an Entity-Relationship data model?
Relational data model constraints
Characteristics of relation
This document provides an overview of entity-relationship (ER) modeling concepts for database design. It defines key ER modeling concepts like entities, attributes, entity types, relationships, relationship types, weak entities, and constraints. It also explains how to represent these concepts in ER diagrams. As an example, it analyzes the requirements for a sample COMPANY database and designs the initial entity types and relationship types that would be represented in an ER diagram for this database.
The document discusses database design concepts including the entity-relationship model, normalization, and functional dependencies. It provides descriptions of key concepts such as entities, attributes, relationships, and mapping approaches from ER diagrams to relational schemas. It also covers normal forms up to BCNF and the goals of normalization to reduce data redundancy and anomalies.
The Entity-Relationship model is used for database design and includes several phases:
1) Requirement analysis involves understanding the data to be stored, applications needed, and common operations.
2) Conceptual design builds the ER model to describe data simply matching user requirements.
3) Logical design converts the ER model into a relational database schema.
4) Physical design addresses indexing, clustering, and security access rules.
The document provides information on entity relationship diagrams and database architecture. It discusses the three levels of a database architecture: external, conceptual, and internal. It then covers key concepts in ER modeling including entities, attributes, relationships, cardinalities, participation constraints, weak and strong entities, and how to construct an ER diagram.
The document describes concepts related to entity relationship modeling including:
- Entity types represent real world objects like employees, departments, etc. and have attributes.
- Relationship types define relationships between entity types like works_for between employees and departments.
- Keys uniquely identify entities and attributes can be single/multi-valued, simple/composite.
- The example models a company database with entities for departments, projects, employees and dependents along with their attributes and relationships.
The document describes concepts related to entity relationship modeling including:
- Entity types represent real world objects like employees, departments, etc. and have attributes.
- Relationship types define relationships between entity types like works_for between employees and departments.
- An example database schema for a company is presented with entity types for departments, projects, employees, and dependents along with attributes and relationships.
- Additional concepts covered include keys, cardinality, participation constraints, and weak entity types.
Chapter-3 Data Modeling Using the Entity-Relationship ModelRaj vardhan
The document describes conceptual database design using the entity-relationship (ER) model. It discusses key concepts of the ER model including entities, attributes, relationships, and relationship constraints. An example ER diagram is presented for a COMPANY database with entities for employees, departments, and projects. Relationships include employees working for departments and departments controlling projects. The summary provides an overview of the important concepts and examples covered in the document related to conceptual database design using the ER model.
Fundamentals of database system - Data Modeling Using the Entity-Relationshi...Mustafa Kamel Mohammadi
In this chapter you will learn
Relational data model concepts
What is entity?
What is attribute and it’s types
What is relationship?
What is an Entity-Relationship data model?
Relational data model constraints
Characteristics of relation
This document provides an overview of entity-relationship (ER) modeling concepts for database design. It defines key ER modeling concepts like entities, attributes, entity types, relationships, relationship types, weak entities, and constraints. It also explains how to represent these concepts in ER diagrams. As an example, it analyzes the requirements for a sample COMPANY database and designs the initial entity types and relationship types that would be represented in an ER diagram for this database.
The document discusses database design concepts including the entity-relationship model, normalization, and functional dependencies. It provides descriptions of key concepts such as entities, attributes, relationships, and mapping approaches from ER diagrams to relational schemas. It also covers normal forms up to BCNF and the goals of normalization to reduce data redundancy and anomalies.
The Entity-Relationship model is used for database design and includes several phases:
1) Requirement analysis involves understanding the data to be stored, applications needed, and common operations.
2) Conceptual design builds the ER model to describe data simply matching user requirements.
3) Logical design converts the ER model into a relational database schema.
4) Physical design addresses indexing, clustering, and security access rules.
The document provides information on entity relationship diagrams and database architecture. It discusses the three levels of a database architecture: external, conceptual, and internal. It then covers key concepts in ER modeling including entities, attributes, relationships, cardinalities, participation constraints, weak and strong entities, and how to construct an ER diagram.
The document describes concepts related to entity relationship modeling including:
- Entity types represent real world objects like employees, departments, etc. and have attributes.
- Relationship types define relationships between entity types like works_for between employees and departments.
- Keys uniquely identify entities and attributes can be single/multi-valued, simple/composite.
- The example models a company database with entities for departments, projects, employees and dependents along with their attributes and relationships.
The document describes concepts related to entity relationship modeling including:
- Entity types represent real world objects like employees, departments, etc. and have attributes.
- Relationship types define relationships between entity types like works_for between employees and departments.
- An example database schema for a company is presented with entity types for departments, projects, employees, and dependents along with attributes and relationships.
- Additional concepts covered include keys, cardinality, participation constraints, and weak entity types.
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.
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# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
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This document discusses the roles involved in database systems and the entity relationship (ER) model for conceptual database design. It describes the roles of end users, database designers, database administrators, and application programmers. It then explains key concepts of the ER model including entities, attributes, relationships, and how they are visually represented in an ER diagram. Finally, it provides an example initial design of entity types and relationships for a company database schema.
The document discusses entity-relationship (ER) diagrams and database design. It defines key concepts in ER diagrams like entities, attributes, relationships and how they are represented. It explains how to start building an ER diagram by defining entities and relationships based on a narrative. Different types of relationships and how they are drawn are covered, along with cardinality, keys, and other symbols used in ER diagrams. The document provides an example of an ER diagram for a banking system and discusses how an ER diagram can be converted into a relational database with tables.
The entity-relationship (E-R) model is a way to graphically represent entities and relationships between entities to create a database. The E-R model employs three basic concepts: entity sets, relationship sets, and attributes. An entity set is a set of entities of the same type that share attributes. Attributes are descriptive properties of each member of an entity set. There are different types of attributes including simple/composite, single/multi-valued, derived, key, and null attributes.
The document provides an overview of conceptual database design using the Entity-Relationship (ER) model. It describes the basic constructs of the ER model including entities, relationships, attributes, and additional features like weak entities, inheritance hierarchies, and aggregation. It also discusses modeling choices like representing concepts as entities or attributes, binary vs n-ary relationships. Constraints that can be expressed in the ER model are covered, along with the subjective nature of ER design.
Data modeling using the entity relationship modelJafar Nesargi
The document describes key concepts in entity relationship modeling including entity types, attributes, relationships, keys, and constraints. It provides an example database application to track employees, departments, and projects within a company. It then defines entity types for departments, projects, employees, and dependents with their attributes. It also describes relationship types, cardinalities, roles, and other modeling constructs used to design the conceptual schema.
Use analyzed requirements in the design of database.pptxMwangaPrayGod
An entity-relationship (ER) diagram is used to design relational databases by modeling the structure and relationships of entities in the database. An ER diagram represents entities as nouns and relationships as verbs using graphical symbols like rectangles, diamonds, and lines. It is an important tool for database design, troubleshooting, and analysis across fields like software engineering, business, education, and research. The key components of an ER diagram include entities, attributes, relationships, keys, and cardinality.
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This document discusses conceptual database design using the Entity-Relationship (ER) model. It provides an overview of the database design process and introduces an example database application for a company. The key concepts of the ER model are explained, including entities, attributes, relationships and relationship types. Finally, an ER diagram is shown modeling the entity types and relationships for the example company database application.
The document discusses data modeling, which involves creating a conceptual model of the data required for an information system. There are three types of data models - conceptual, logical, and physical. A conceptual data model describes what the system contains, a logical model describes how the system will be implemented regardless of the database, and a physical model describes the implementation using a specific database. Common elements of a data model include entities, attributes, and relationships. Data modeling is used to standardize and communicate an organization's data requirements and establish business rules.
This document discusses the entity-relationship (ER) model for conceptual database design. It defines key concepts like entities, attributes, relationships, keys, and participation constraints. Entities can be strong or weak, and attributes can be simple, composite, multi-valued, or derived. Relationships associate entities and can specify cardinality like one-to-one, one-to-many, or many-to-many. The ER model diagrams the structure and constraints of a database before its logical and physical implementation.
Considering Company as a Mini world Problem we need to design the Database.
Company Database consists of:
Company Info
Employee Info
Project Info
The Formulated Requirements are:
The company is organized into departments. Each department has a unique name, a unique number, and a particular employee who manages the department. We keep track of the start date when that employee began managing the department. A department may have several location
A department controls a number of projects, each of which has a unique name, a unique number, and a single location
We store each employee’s name, Social Security number, address, salary, sex (gender), and birth date. An employee is assigned to one department, but may work on several projects, which are not necessarily controlled by the same department. We keep track of the current number of hours per week that an employee works on each project. We also keep track of the direct supervisor of each employee (who is another employee).
We want to keep track of the dependents of each employee for insurance purposes
Data Modeling Using the EntityRelationship (ER) Modelsontumax
The document provides an overview of entity-relationship (ER) modeling and the ER diagram notation. It discusses key ER modeling concepts like entities, attributes, relationships, and relationship constraints. An example database schema for a company is used to illustrate these concepts. The example requirements are analyzed to identify entity types, relationship types, and refine the initial design. Notation for displaying entity types, relationships, and constraints in ER diagrams is also described.
This document provides an overview of entity-relationship (ER) modeling and its application to conceptual database design. It discusses key ER concepts like entities, attributes, relationships and relationship types. An example database application for a company is used to demonstrate how these concepts are identified and modeled. The initial ER design for this example captures entity types for departments, projects, employees and dependents along with some of their attributes. The design is then refined by introducing relationship types to fully represent the requirements.
Auto- Repair Service Software Design and AnalysisHinal Patel
The document presented an auto repair and invoice system project. It summarized the key features for customers, customer service representatives, and mechanics. It covered requirement gathering and process modeling including data flow diagrams and an entity relationship diagram. It also discussed forms, reports, dialog sequences, and interface design considerations. The project was presented by a student at the University of Houston - Clear Lake for their MS in Management Information Systems degree.
An entity relationship (ER) diagram visually represents the relationships between different elements in a system. It identifies key entities, their attributes, and how they relate to each other. ER diagrams are used in software engineering during planning to understand system elements and relationships. They form the basis for data flow diagrams. Key elements in an ER diagram include entities, attributes, and relationships. Entities represent objects like people or things. Attributes are properties of entities or relationships. Relationships show how entities are connected.
3 data modeling using the entity-relationship (er) modelKumar
This document provides an overview of the key concepts in entity-relationship (ER) modeling for database design. It begins with an outline of the database design process and an example database application for a company (COMPANY). It then defines the core components of ER modeling, including entities, attributes, relationships, relationship types, and ER diagrams. The document presents the initial ER design for the COMPANY database and refines it by introducing relationships. It also covers additional concepts like weak entity types, constraints, and recursive relationships. The overall summary provides a high-level introduction to ER modeling concepts and how they are applied to design a sample database schema.
This document provides an introduction to Entity-Relationship (ER) data modeling. It describes the basic concepts of entities, attributes, relationships, and keys. It explains how ER diagrams can be used to graphically represent these concepts and the structure of a database. The document also covers entity types, relationship types, participation constraints, mapping cardinalities, weak entities, and how to represent these concepts in an ER diagram.
The document discusses the phases of database design including requirements collection and analysis, conceptual design, and relational database schema. It provides examples of collecting requirements for a company database including entity types like department, project, and employee. It also covers conceptual modeling using an entity-relationship diagram to represent entities, attributes, relationships and constraints. Key concepts explained include entity types, attributes, relationships, cardinalities, participation constraints, weak entities, and converting a conceptual schema to a relational database schema.
.Net Framework known as ‘dot net’ is a software framework created by Microsoft that can work with many programming languages like C#, VB.NET, F#, and C++. Because of its language interoperability, it can also be used to develop various applications ranging from web to mobile to Windows-based applications.
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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.
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
Benefits:-
# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
# Students can earn better grades, save time and study effectively
Our Vision & Mission – Simplifying Students Life
Our Belief – “The great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.”
Like Us - https://www.facebook.com/FellowBuddycom
This document discusses the roles involved in database systems and the entity relationship (ER) model for conceptual database design. It describes the roles of end users, database designers, database administrators, and application programmers. It then explains key concepts of the ER model including entities, attributes, relationships, and how they are visually represented in an ER diagram. Finally, it provides an example initial design of entity types and relationships for a company database schema.
The document discusses entity-relationship (ER) diagrams and database design. It defines key concepts in ER diagrams like entities, attributes, relationships and how they are represented. It explains how to start building an ER diagram by defining entities and relationships based on a narrative. Different types of relationships and how they are drawn are covered, along with cardinality, keys, and other symbols used in ER diagrams. The document provides an example of an ER diagram for a banking system and discusses how an ER diagram can be converted into a relational database with tables.
The entity-relationship (E-R) model is a way to graphically represent entities and relationships between entities to create a database. The E-R model employs three basic concepts: entity sets, relationship sets, and attributes. An entity set is a set of entities of the same type that share attributes. Attributes are descriptive properties of each member of an entity set. There are different types of attributes including simple/composite, single/multi-valued, derived, key, and null attributes.
The document provides an overview of conceptual database design using the Entity-Relationship (ER) model. It describes the basic constructs of the ER model including entities, relationships, attributes, and additional features like weak entities, inheritance hierarchies, and aggregation. It also discusses modeling choices like representing concepts as entities or attributes, binary vs n-ary relationships. Constraints that can be expressed in the ER model are covered, along with the subjective nature of ER design.
Data modeling using the entity relationship modelJafar Nesargi
The document describes key concepts in entity relationship modeling including entity types, attributes, relationships, keys, and constraints. It provides an example database application to track employees, departments, and projects within a company. It then defines entity types for departments, projects, employees, and dependents with their attributes. It also describes relationship types, cardinalities, roles, and other modeling constructs used to design the conceptual schema.
Use analyzed requirements in the design of database.pptxMwangaPrayGod
An entity-relationship (ER) diagram is used to design relational databases by modeling the structure and relationships of entities in the database. An ER diagram represents entities as nouns and relationships as verbs using graphical symbols like rectangles, diamonds, and lines. It is an important tool for database design, troubleshooting, and analysis across fields like software engineering, business, education, and research. The key components of an ER diagram include entities, attributes, relationships, keys, and cardinality.
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This document discusses conceptual database design using the Entity-Relationship (ER) model. It provides an overview of the database design process and introduces an example database application for a company. The key concepts of the ER model are explained, including entities, attributes, relationships and relationship types. Finally, an ER diagram is shown modeling the entity types and relationships for the example company database application.
The document discusses data modeling, which involves creating a conceptual model of the data required for an information system. There are three types of data models - conceptual, logical, and physical. A conceptual data model describes what the system contains, a logical model describes how the system will be implemented regardless of the database, and a physical model describes the implementation using a specific database. Common elements of a data model include entities, attributes, and relationships. Data modeling is used to standardize and communicate an organization's data requirements and establish business rules.
This document discusses the entity-relationship (ER) model for conceptual database design. It defines key concepts like entities, attributes, relationships, keys, and participation constraints. Entities can be strong or weak, and attributes can be simple, composite, multi-valued, or derived. Relationships associate entities and can specify cardinality like one-to-one, one-to-many, or many-to-many. The ER model diagrams the structure and constraints of a database before its logical and physical implementation.
Considering Company as a Mini world Problem we need to design the Database.
Company Database consists of:
Company Info
Employee Info
Project Info
The Formulated Requirements are:
The company is organized into departments. Each department has a unique name, a unique number, and a particular employee who manages the department. We keep track of the start date when that employee began managing the department. A department may have several location
A department controls a number of projects, each of which has a unique name, a unique number, and a single location
We store each employee’s name, Social Security number, address, salary, sex (gender), and birth date. An employee is assigned to one department, but may work on several projects, which are not necessarily controlled by the same department. We keep track of the current number of hours per week that an employee works on each project. We also keep track of the direct supervisor of each employee (who is another employee).
We want to keep track of the dependents of each employee for insurance purposes
Data Modeling Using the EntityRelationship (ER) Modelsontumax
The document provides an overview of entity-relationship (ER) modeling and the ER diagram notation. It discusses key ER modeling concepts like entities, attributes, relationships, and relationship constraints. An example database schema for a company is used to illustrate these concepts. The example requirements are analyzed to identify entity types, relationship types, and refine the initial design. Notation for displaying entity types, relationships, and constraints in ER diagrams is also described.
This document provides an overview of entity-relationship (ER) modeling and its application to conceptual database design. It discusses key ER concepts like entities, attributes, relationships and relationship types. An example database application for a company is used to demonstrate how these concepts are identified and modeled. The initial ER design for this example captures entity types for departments, projects, employees and dependents along with some of their attributes. The design is then refined by introducing relationship types to fully represent the requirements.
Auto- Repair Service Software Design and AnalysisHinal Patel
The document presented an auto repair and invoice system project. It summarized the key features for customers, customer service representatives, and mechanics. It covered requirement gathering and process modeling including data flow diagrams and an entity relationship diagram. It also discussed forms, reports, dialog sequences, and interface design considerations. The project was presented by a student at the University of Houston - Clear Lake for their MS in Management Information Systems degree.
An entity relationship (ER) diagram visually represents the relationships between different elements in a system. It identifies key entities, their attributes, and how they relate to each other. ER diagrams are used in software engineering during planning to understand system elements and relationships. They form the basis for data flow diagrams. Key elements in an ER diagram include entities, attributes, and relationships. Entities represent objects like people or things. Attributes are properties of entities or relationships. Relationships show how entities are connected.
3 data modeling using the entity-relationship (er) modelKumar
This document provides an overview of the key concepts in entity-relationship (ER) modeling for database design. It begins with an outline of the database design process and an example database application for a company (COMPANY). It then defines the core components of ER modeling, including entities, attributes, relationships, relationship types, and ER diagrams. The document presents the initial ER design for the COMPANY database and refines it by introducing relationships. It also covers additional concepts like weak entity types, constraints, and recursive relationships. The overall summary provides a high-level introduction to ER modeling concepts and how they are applied to design a sample database schema.
This document provides an introduction to Entity-Relationship (ER) data modeling. It describes the basic concepts of entities, attributes, relationships, and keys. It explains how ER diagrams can be used to graphically represent these concepts and the structure of a database. The document also covers entity types, relationship types, participation constraints, mapping cardinalities, weak entities, and how to represent these concepts in an ER diagram.
The document discusses the phases of database design including requirements collection and analysis, conceptual design, and relational database schema. It provides examples of collecting requirements for a company database including entity types like department, project, and employee. It also covers conceptual modeling using an entity-relationship diagram to represent entities, attributes, relationships and constraints. Key concepts explained include entity types, attributes, relationships, cardinalities, participation constraints, weak entities, and converting a conceptual schema to a relational database schema.
.Net Framework known as ‘dot net’ is a software framework created by Microsoft that can work with many programming languages like C#, VB.NET, F#, and C++. Because of its language interoperability, it can also be used to develop various applications ranging from web to mobile to Windows-based applications.
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Are you choosing a career in DevOps? If yes then it is one of the best options where they offer DevOps certification and are eligible to get a job all over the world. It offers a successful career where they get better opportunities.
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While the term hacking gives a negative impact on the mind of users, the role of an ethical hacker is fully understood. It is a company that allows the network to keep an eye on spam activities.
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Are you Looking Best institute for React js Training Course in Noida? DUCAT offers React Training classes with live project by expert trainer in Noida Sector 16A. Our React JavaScript training program in Noida is specially designed for Students, Under-Graduates, Graduates, Working Professionals and Freelancers. We provide end to end learning on React Domain with deeper dives for creating a winning career for every profile.
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Java for Beginners! Learn a bit more about what Java methods are, how to write them, and how to use them on live projects. This tutorial won't cover everything, but it'll be enough to get you to use those methods and serves as a jump-off point to the more other tutorials. https://www.ducatindia.com/java-for-beginners
Develop an interactive report to display material basic details in basic list, material plant details in secondary list for a material type input and display header and footer for primary and secondary list.
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SAP ABAP database tables are collection of fields, in which fields are made up of columns and rows. In SAP more than 8000 tables are defined. When table is created, its columns are named and data type is supplied for each columns. There can be only one data value in each column of each row in a table.
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Sap s4 hana saps next generation business suiteDucat
SAP S/4HANA delivers massive simplifications in all aspect of application – customer adoption, data model, user experience, business processes. It’s SAP response to new generation innovations (Internet of Things, Big Data and mobile).
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Dashboard designer is a tool for designing dashboards. It provides users with pre-designed dashboard templates which can be utilized in creating static or dynamic charts and visualizations as a part of the dashboard. Dashboard designer also connects to data sources via universes.
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In-memory computing stores oceans of data as information in the Random-Access Memory (RAM) of the systems operating in an environment. This technology replaces the conventional way of storing data in disks and using relational database management methods to fetch and process it.
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A schema is an important structural component of SAP HANA database and gives a logical framework to users. Schemas are important when you work on SAP HANA Studio.
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This document provides an overview of Attribute Views in SAP HANA. It defines Attribute Views as sets of dimensions or master data that can be joined with fact tables for analytical purposes. It describes the different types of Attribute Views, including standard, derived, and timed Attribute Views. It also covers the different types of joins, hierarchies, and cardinalities used to structure Attribute Views. Finally, it outlines the steps for creating an Attribute View in SAP HANA.
The document discusses how to add a system in the SAP HANA Studio Administration Console. It explains that the Administration Console allows users to perform administrative tasks like monitoring, user management, and more. It then outlines the steps to add a system: right-click on the left panel and select "Add System", enter the database hostname, instance number, and description, and click "Next" and "Finish" after entering valid credentials.
EBS stands for Elastic Block Store. Amazon EBS supports persistent block-level storage volumes for use with Amazon EC2 instances. Each Amazon EBS volume is necessarily replicated within its Availability Zone to protect us from component failure, providing huge availability and durability.
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MERN means MongoDB, Express, React and Node.These four technologies make up the MERN Stack and also consider variations. It is a JavaScript platform for deploying full-stack software applications more easily and quickly and also assist the Model View Controller model.This is intended to make the work go more smoothly and efficiently.Many of these four modern types of equipment present an edge platform for coders to operate throughout and they all play a vital role in developing software.
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Data-driven is a test automation framework which stores test data in a table or spread spreadsheet format. This allows automation engineers to have a single test script which can execute tests for all the test data in the table.
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Waiting is having the automated task execution elapse a certain amount of time before continuing with the next step. It provides some slack between actions performed, in selenium slack between locating an element or any other operation with the element. The wait is mostly used to handle the ElementNotVisibleException exception during load of web page. Waits help a user to troubleshoot issues while re-directing to different web pages by refreshing the entire web page and re-loading the new web elements. At times there can be Ajax calls as well. Thus, a time lag can be seen while reloading the web pages and reflecting the web elements.
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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.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
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.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
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.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
Chapter wise All Notes of First year Basic Civil Engineering.pptx
Components of an er diagram
1. Components of
an ER Diagram
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2. An ER Diagram includes the following components:-
- Entity
- Attributes
- Relationships
Entity
An entity is a person, place, element, event, or idea about which information is recorded. In an entity-
relationship diagram, an entity is described by using a rectangle.
Some of the examples of the entities are given below
3. Person:
STUDENT, PATIENT, EMPLOYEE, DOCTOR, ENGINEER
Place:
CITY, COUNTRY, STATE
Event:
SEMINAR, SALE, RENEWAL, COMPETITION
Object:
BUILDING, AUTOMOBILE, MACHINE, FURNITURE, TOY
Concept:
COURSE, ACCOUNT, TRAINING CENTRE, WORK
CENTRE
4. Entity Types
An entity is represented as a collection of entities that have similar attributes. For instance, an employee in a company
database. The employee entities share similar attributes, however, such an entity has its value for each attribute. The entity
type, the employee, is display in the figure:
5. An entity type is defined in ER diagrams as a rectangular box enclosing the entity type name. Attributes name are
attached in ovals and are connected to their entity type by using straight lines as display in fig:
Entity Set
The collection of all entities of a specific entity type inside the database at any point in time is known as an entity
set. It is also referred to as the extension of the entity type.