DBMS Concepts

DBMS Tutorial Components of DBMS. Applications of DBMS The difference between file system and DBMS. Types of DBMS DBMS Architecture DBMS Schema Three Schema Architecture. DBMS Languages.

DBMS ER Model

ER model: Entity Relationship Diagram (ERD) Components of ER Model. DBMS Generalization, Specialization and Aggregation.

DBMS Relational Model

Codd’s rule of DBMS Relational DBMS concepts Relational Integrity Constraints DBMS keys Convert ER model into Relational model Difference between DBMS and RDBMS Relational Algebra DBMS Joins

DBMS Normalization

Functional Dependency Inference Rules Multivalued Dependency Normalization in DBMS: 1NF, 2NF, 3NF, BCNF and 4NF

DBMS Transaction

What is Transaction? States of transaction ACID Properties in DBMS Concurrent execution and its problems DBMS schedule DBMS Serializability Conflict Serializability View Serializability Deadlock in DBMS Concurrency control Protocols

Difference

Difference between DFD and ERD

Misc

Advantages of DBMS Disadvantages of DBMS Data Models in DBMS Relational Algebra in DBMS Cardinality in DBMS Entity in DBMS Attributes in DBMS Data Independence in DBMS Primary Key in DBMS Foreign Key in DBMS Candidate Key in DBMS Super Key in DBMS Aggregation in DBMS Hashing in DBMS Generalization in DBMS Specialization in DBMS View in DBMS File Organization in DBMS What Is A Cloud Database What Is A Database Levels Of Locking In DBMS What is RDBMS Fragmentation in Distributed DBMS What is Advanced Database Management System Data Abstraction in DBMS Checkpoint In DBMS B Tree in DBMS BCNF in DBMS Advantages of Threaded Binary Tree in DBMS Advantages of Database Management System in DBMS Enforcing Integrity Constraints in DBMS B-Tree Insertion in DBMS B+ Tree in DBMS Advantages of B-Tree in DBMS Types of Data Abstraction in DBMS Levels of Abstraction in DBMS 3- Tier Architecture in DBMS Anomalies in Database Management System Atomicity in Database Management System Characteristics of DBMS DBMS Examples Difference between Relational and Non-Relational Databases Domain Constraints in DBMS Entity and Entity set in DBMS ER Diagram for Banking System in DBMS ER Diagram for Company Database in DBMS ER Diagram for School Management System in DBMS ER Diagram for Student Management System in DBMS ER Diagram for University Database in DBMS ER Diagram of Company Database in DBMS Er Diagram Symbols and Notations in DBMS How to draw ER-Diagram in DBMS Integrity Constraints in DBMS Red-Black Tree Deletion in DBMS Red-Black Tree Properties in DBMS Red-Black Tree Visualization in DBMS Redundancy in Database Management System Secondary Key in DBMS Structure of DBMS 2-Tier Architecture in DBMS Advantages and Disadvantages of Binary Search Tree Closure of Functional Dependency in DBMS Consistency in Database Management System Durability in Database Management System ER Diagram for Bank Management System in DBMS ER Diagram for College Management System in DBMS ER Diagram for Hotel Management System in DBMS ER Diagram for Online Shopping ER Diagram for Railway Reservation System ER Diagram for Student Management System in DBMS Isolation in DBMS Lossless Join and Dependency Preserving Decomposition in DBMS Non-Key Attributes in DBMS Data Security Requirements in DBMS DBMS functions and Components What is Homogeneous Database? DBMS Functions and Components Advantages and Disadvantages of Distributed Database

How to draw ER-Diagram in DBMS?

Entity Relationship Diagrams, or ERDs, are diagrams that assist you in visualizing your database design.

An ERD, also called anER diagram or ER model,describes data and how parts of the data interact. ERDs are crucial in database architecture and projects that call for a crystal-clear structure for all. Think of ERDs asa standardized way ofdrawing database diagrams. By applying this standard, teamscan easily understand the database structure and the information collectedbythe system.

An Entity Relationship Diagram (ERD) is a diagram that shows the relationships between the different entities in your system. For example, the author, novel, and consumer elements can be described using an ER diagram as follows:

How to draw ER-Diagram

Why to Create an ERD?

ER diagrams are useful for companies to document existing databases to troubleshoot logic and deployment issues or to identify inefficiencies and improve processes. Moreover, when a company wants to restructure its business processes, Engineers can use ERDs to create and model new databases, allowing them to find logical and design errors before putting them into use. Analyze, fix, and debug your existing database structure. Below are some other points to discuss the need to create an ERD:

• To create a fresh database.

• To compile design specifications

• Reengineering business processes (BPR) When you're documenting a system or process, taking a close look at the system can be quite beneficial. To display the contents of data repositories, ERD diagrams are generally used in conjunction with data flow diagrams.

These diagrams help in visualizing how data is generally connected and are especially useful for building relational databases

History of ER diagrams

Data modeling became necessary in the 1970s, but there needed to be a standard way to model databases and business processes. Many solutions had been proposed and discussed, but they yet to be widely applied.

 In his article, “The Entity Relationship Model-Toward a Unified View of Data,” Peter Chen credited with developing the ER model, which is currently extensively in use. The introduction of a diagrammatic approach to database design that emphasizes entities and relationships. His design was influenced by Charles Bachman's data structure diagram. One of the earliest forms of ER diagrams, the Bachmann diagram, is named after him.

What are ER diagrams used for?

Although practically any system can be modeled using ERD, the following applications are where it is most frequently used:

  • In database design: The design of relational databases frequently makes use of them. Entities in the ER schema are transformed into tables, attributes, and database schema.
  • Due to its ability to display database tables and their relationships, it is also frequently used for database troubleshooting.
  • In Software Engineering, software development, entity-relationship diagrams are employed throughout the project planning stage. They aid in recognizing distinct system.

For example, inventory management software used in retail stores has databases that track items such as purchases, items, item types, item sources, and item prices.

Entity Relationship Diagram (ERD) Symbols and Notation

How to draw ER-Diagram

An ER diagram has three basic elements.
Entities, Properties, Relationships. Based on the main element there are other elements. They are Weak Entities, Multivalued Attributes, Derived Attributes, Weak Relationships, and Recursive Relationships. Cardinality and ordinal are two other notations used in ER diagrams to further define relationships.

  • Entity
    An entity is a person, place, event, or object associated with a particular system. For example, a school system may include students, teachers, core courses, subjects, fees, and other elements. Entities are represented in ER diagrams by rectangles and named with singular nouns.
    An entity that is dependent on the existence of another entity is weak. Technically speaking, it is an entity that cannot be recognized its own characteristics. A primary key is created by combining a foreign key with its properties. Order Line is a nice illustration of an entity in this regard.
How to draw ER-Diagram
  • Attribute
    Attributes are properties, characteristics, or characteristics of entities, relationships, or other attributes. For example, the Inventory Item Name attribute is an attribute of the Inventory Item entity. Entities can have any number of attributes. On the other hand, attributes can also have their own specific attributes. For example, the attribute "Customer Address" can contain the attributes Street Number, Street, City, and State. These are called compound attributes.

Note that some top-level ER diagrams do not show attributes for simplicity. However, in those that do, attributes are represented by ellipses.

Attributes of value

If an attribute can have multiple values, it is called a multivalued attribute. Keep in mind that attributes have their own set of attributes, whereas this is distinct. A teacher object, for instance, can have various subject values.

derived quality is a feature that is derived from another feature. ER diagrams hardly often show this. For instance, the radius of a circle can be used to calculate its area.

  • Relationship
    Relationships explain how things relate to one another. For instance, the relationship "Build" or "Create" allows the entity "Carpenter" to be associated to the entity "Table."
    Relationships are represented by diamonds and indicated by verbs.
How to draw ER-Diagram
  • Recursive relationship
    When the same entity participates in a relationship multiple times, it is called a recursive relationship.
  • Cardinality and ordering
    These two further define the relationship between entities by putting the relationship in a numerical context. For example, an email system can have multiple contacts in one account. In this case, the relationship follows a "one-to-many" model. There are several notations used to represent cardinality in ER diagrams. Chen, UML, Crow, and Bachman are some of the common notations. It constructively supports Chen, UML, and Crow's Foot notation.

How to Draw an Entity Relationship Diagram

  • To create an ER diagram, firstly identify all entities in the system. An entity should only appear once in a given diagram.
  • For each element, make a rectangle and give it a fitting name.
  • Establish connections between entities.
  • To indicate the relationship between them, draw a line connecting them and place a diamond in the center.
  • Add a property to the entity.
  • To make attribute names more understandable, give them meaningful names.

Let’s discuss above points in detail to create an ER diagram:

1. Identify ERD entities.

The "what" of your system or architecture should be identified first.

Entities are represented by rectangles, which must have enough space to expand the diagram in the next few steps.

2. Give each entity some properties.

 Next, think about the characteristics each entity must have. These have oval drawings and labels. To make room for relationships, connect them to related entities and place attributes outside the diagram.

3. Identify connections between entities.

Consider the relationships or verbs in your system right now. The simplest approach to do this is to relate each entity to another entity by asking each one, such as:

A customer buys a phone. Cellular phone service is servicing the phone. Your mobile phone company will create an invoice for you. The customer pays the bill. 

4. In the ER diagram, give each relationship cardinality.

Specifying the quantity of data obtained from each item is the last step in this straightforward ER diagram. The ERD reader can rapidly determine using the straightforward notation known as "cardinality" whether these elements are zero, one, many, or a combination of each. Such as: One or more phones may be bought by a consumer. Many phones are maintained through cellular service. The bill is paid by the client.

 5. Exit the ERD and save

 This is just a generic ER diagram, but it contains enough detail to review your work by a teammate or partner. One of the best ways to do this is to have the chart read aloud. If you end up telling a different story than they intended, you'll have to tweak it. Another good step is to clean up or polish your chart. If you draw by hand, the eraser marks may remain. Align shapes, add colors and redraw lines to connect entities, attributes, and relationships more clearly to complete your diagram.

Identify the parts

Entity relationship diagrams are highly helpful, and by following these easy steps, you may simply design your own relationship diagram.

1.Choose an entity:

Typically, entities are nouns like vehicles, banks, students, and products.

The most crucial element of an ER diagram is the entities. Let's proceed by drawing a conceptual model of a straightforward system where students sign up for courses taught by professors. To discover how an ER diagram is constructed, check out these fantastic tutorials. The three entities in this illustration are Student, Course, and Professor.

2. Recognize connections:

Relationships explain the interactions between entities.

Relationships are usually verbs like "buy", "contain", "make". In this example, the relationship Registered For and Teaches effectively describes the interaction between the three entities.

3. Include attributes:

Attributes describe particular traits of an entity and further define data that is crucial to the model.

For ER diagrams to accurately represent the functionality of each entity, attributes are needed. Number, Name, and SKU are examples of general attributes. shape attributes in an ER diagram.

4. Finish the diagram.

ERDs should be logically organized if you want to comprehend them better. It's crucial to understand how to design straightforward, logical ERDs because modeling complicated databases is the main function of entity-relationship diagrams (ERDs). Activate the ERD shape library

Enable ERD shape library

In the new document, click the + Shapes button in the left menu and make sure Entity-Relationship-Shapes-Libraries is enabled.

• Once entity relationship shapes have been enabled, add shapes to the canvas by clicking the desired shape and dragging it to the desired location.

• Make a diagram of the entity relationships.

•  Connect shapes After placing the proper shapes on the canvas, join them together by dragging from the red dots on their edges. The line endings can then be modified using the toolbar above the canvas.

Documenting existing data databases

There are two reasons for creating database diagrams. You should either design a new schema or document your existing structure.

If you need to document an existing database, you can create database diagrams using data directly from the database. Your database's organization can be exported as a CSV file (there are some scripts for that). Then let the program automatically generate its ERD. This is the most accurate portrait of the database, no drawing required. This is an example of a very simple database structure generated from your data.
Its ERD of this type is considered a physical data model and contains all the technical details of the database using the IDEF1X notation.
When creating a new plan, you can edit the generated diagram and work with your team to make changes.

Best practices for ER diagrams

  • Name each entity, attribute, and relationship in the diagram using precise and pertinent terminology.
  • Simple, everyday language is always preferable to hazy, technical-sounding phrases.
  • Remember to name entities with singular nouns. However, adjectives can be used to distinguish between entities belonging to the same class (for example, part-time workers and full-time workers).
  • Attribute names should be meaningful, unique, system-independent, and easy to understand. Remove any linkages between entities that are unclear, duplicated, or not essential. Do not combine a relationship with another relationship.
  • Use color effectively. You can use color to categorize similar entities or highlight key areas of your chart.

Ways of Data Modelling

  1. Conceptual ERD or data model:
    This model has the highest level of abstraction and the lowest level of detail and is suitable for large projects that require a high-level view for use by business analysts. General ERD of typical concepts includes entities and relationships, but does not provide details about specific database columns or cardinality. This gives a general overview of database design.
  2. Logical ERD or data model:
    This model adds detail to the conceptual model by defining additional operational and transactional entities.
  3. Physical ERD or data model:
    This model serves as the actual design or blueprint for the database, with many technical details such as cardinality definitions and representations of entity primary and foreign keys as well as abstract semantic names. increase. ERDs of this type often list attributes that represent the columns of the actual database table.

Tips for effective ER diagrams

  • Ensure that each entity appears only once per diagram.
  • Name each entity, relationship, and attribute in the diagram.
  • Explore relationships between entities. Eliminate all redundant relationships.
  • Do not interconnect relationships.
  • Use color to emphasize important parts of your chart.

EXAMPLE OF ER- DIAGRAM

How to draw ER-Diagram

Advantages of ER diagrams

  • For building and using databases, ER diagrams provide a very helpful structure.
  • ER diagrams are simple to comprehend and don't need much training to use effectively and precisely. This means that regardless of their IT expertise, a designer may effectively interact with customers, developers, and end users using her ER diagram.
  • ER diagrams may be readily converted into relational tables that can be utilized to build databases quickly.
  • ER diagrams can also be used directly by database developers as a guide for integrating data into particular software programs.
  •  ER diagrams can be used in other situations to describe different relationships and operations within an organization.