Power BI Explained: Easy-to-Follow Guide for Data Analysis and Reporting

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1. Introduction to Power BI Power BI is a business analytics service provided by Microsoft that helps users visualize data, share insights, and make informed decisions using real-time analytics. It allows data from different sources to be connected, analyzed, and presented through reports and dashboards. Power BI is widely used in educational institutions, businesses, and organizations that require data-driven decision-making. Power BI simplifies complex datasets, enabling users to derive meaningful insights without needing advanced programming skills. It is especially useful for students working on projects, assignments, or internships. Key Benefits: Combines data from multiple sources. Helps in real-time data monitoring. Makes information visually engaging. Provides insights that guide decisions. Real-time Example: A university analyzing student enrollment patterns over the years can use Power BI to present trends and forecast future student intake, helping admin...

Database Structure with Designing

ER Model (Entity Relationship Model)

  • The Entity-Relationship (E/R) Model is a fundamental concept used in database design to visually represent data and their relationships. 
  • It serves as a blueprint for designing databases by modeling real-world entities, their attributes, and the relationships between them. 
  • The E/R model simplifies the process of understanding and designing the structure of data before implementation in a Database Management System (DBMS).
  • Key components of the E/R (Entity-Relationship) Model
  • Entities


    • Definition
      •  An entity represents a real-world object or concept that has a distinct existence in a system. It is typically a noun and forms the primary data point in an E/R model.
    • Sub-components:
      • Entity Type
        • The category or class of the entity (e.g., Customer, Product, Employee).
      • Entity Instance
        • A specific example of an entity (e.g., John Doe is an instance of the Customer entity).
      • Weak Entity
        • An entity that cannot be uniquely identified by its own attributes and relies on another entity (called the strong entity).
      • Strong Entity
        • An entity that can be uniquely identified by its own attributes, independent of other entities.
  • Attributes
  • Definition
    •  Attributes describe properties or characteristics of entities or relationships. They hold the actual data.
  • Sub-components:
    • Simple Attribute
      • Cannot be divided further (e.g., Age, ID).
    • Composite Attribute
      • Can be divided into sub-parts (e.g., Full Name can be divided into First Name and Last Name).


    • Derived Attribute
      • An attribute whose value can be derived from other attributes (e.g., Age can be derived from Date of Birth).


    • Multivalued Attribute
      • Can hold multiple values (e.g., Phone Numbers for a Customer).


    • Key Attribute
      • Uniquely identifies an entity in the entity set (e.g., Employee_ID).


      • Primary Key: The main unique attribute used to identify instances of an entity (e.g., Student_ID).
      • Candidate Key: Any attribute that could serve as a primary key.
      • Foreign Key: An attribute that creates a relationship between two entities, linking the primary key of another entity.
  • Relationships
    • Definition
      •  Relationships define how two or more entities are associated with each other. They are typically verbs.


    • Sub-components:
      • Relationship Type
        • The nature of the relationship between entities (e.g., enrolls, orders, teaches).
      • Cardinality
        •  Specifies the number of instances of one entity that can be associated with another entity.
        • One-to-One (1:1): One instance of an entity is associated with one instance of another entity.


        • One-to-Many (1:M): One instance of an entity is associated with multiple instances of another entity.


        • Many-to-Many (M:M): Multiple instances of one entity are associated with multiple instances of another entity.


      • Degree of Relationship: The number of entity types involved in a relationship (binary, ternary, etc.).
  • Primary Key
    • Definition
      •  A primary key is a unique attribute (or a set of attributes) that identifies each entity instance in an entity set.
    • Sub-components:
      • Single Attribute Key: A primary key made up of one attribute (e.g., Student_ID).
      • Composite Key: A primary key made up of multiple attributes (e.g., Order_ID and Product_ID together form the primary key for an Order entity).
  • Foreign Key
    • Definition
      •  A foreign key is an attribute in one entity that refers to the primary key of another entity to create a relationship between the two entities.
    • Sub-components:
      • Referential Integrity: Ensures that a foreign key value always points to a valid primary key in the referenced table.
      • Cascading Actions: Define what happens to the foreign key when the related record in the primary key table is updated or deleted (e.g., Cascade Delete, Cascade Update).
  • Cardinality (Participation)
    • Definition
      •  Specifies the number of instances of one entity that can be associated with instances of another entity.
    • Sub-components:
      • One-to-One (1:1): One entity is associated with one other entity (e.g., Person to Passport).
      • One-to-Many (1:M): One entity is associated with multiple instances of another (e.g., Teacher to Students).
      • Many-to-Many (M:M): Multiple instances of one entity are associated with multiple instances of another (e.g., Students to Courses).
  • Participation Constraints
    • Definition
      • Constraints that define whether all or only some entity instances participate in a relationship.
    • Sub-components:
      • Total Participation: Every instance of the entity must participate in the relationship (e.g., every Employee must be assigned a Department).
      • Partial Participation: Some instances of the entity participate in the relationship (e.g., some Students may be enrolled in Clubs).
  • Weak Entity and Identifying Relationship
    • Definition
      • A weak entity is an entity that cannot be uniquely identified by its attributes alone. It depends on another entity (strong entity) for its existence.
    • Sub-components:
      • Identifying Relationship: The relationship between a weak entity and its strong entity that links them. This relationship helps define the weak entity’s existence (e.g., Dependent is a weak entity, and its identifying relationship with Employee is that the Dependent is associated with the Employee).

Symbols of Key Components in the E/R Model


What is E/R Diagram?

  • An Entity-Relationship (ER) Diagram is a visual representation of the data model of a system, illustrating the relationships between different entities within that system. 
  • It is widely used in database design to provide a blueprint for how data will be structured, stored, and accessed in a database.

Purpose of E/R Diagram:

  • ·        To serve as a conceptual framework for designing databases.
  • ·        It helps in visualizing how data will be stored, organized, and interconnected.
  • ·        ER Diagrams help ensure that the relationships between data are logical and meet the business requirements before creating the physical database.

Example of Library Management System
Entity and Attribute:
  • Books
    • Book_id (Primary Key)
    • Author
    • Title
    • Price
    • Available
  • Publisher
    • Pub_id (Primary Key)
    • Address
    • Name
  • Borrow By
    • Due Date
    • Rtrn Date
    • Issue
  • Member
    • Mem_id (Primary Key)
    • Mem_name
    • Mem_type
    • Address
    • Name
    • Expiry Date





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