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...
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Data Model

  • Introduction to Data Models:
    • Data Model is the modelling of the data description, data semantics, and consistency constraints of the data.
    • It provides the conceptual tools for describing the design of a database at each level of data abstraction.
    • A Data Model in Database Management System (DBMS) is the concept of tools that are developed to summarize the description of the database.
    • Data Models provide us with a transparent picture of data which helps us in creating an actual database.
    • It shows us from the design of the data to its proper implementation of data.
  • Hierarchical, Network and Relation Data Models
    • Hierarchical Model:
      • The hierarchical Model is one of the oldest models in the data model which was developed by IBM, in the 1950s.
      • This data model arranges the data in the form of a tree with one root, to which other data is connected.
      • The hierarchy begins with the root and extends like a tree.
      • This model effectively explains several real-time relationships with a single one-to-many relationship between two different kinds of data.
    • Network Model:
      • The Network Model was formalized by the Database Task group in the 1960s.
      • This model is the generalization of the hierarchical model.
      • This model can consist of multiple parent segments and these segments are grouped as levels but there exists a logical association between the segments belonging to any level.
      • Mostly, there exists a many-to-many logical association between any of the two segments.
    • Relational Model:
      • This popular data model example arranges the data into tables.
      • The tables have columns and rows, each cataloguing an attribute present in the entity.
      • It makes relationships between data points easy to identify.
      • For example, e-commerce websites can process purchases and track inventory using the relational model. 

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