Unlocking the World of Business Intelligence with SQLBI

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Introduction : ·         In the current data-centric world, Business Intelligence (BI) is integral to transforming raw data into actionable insights, guiding organizations toward informed decision-making.  ·         Among the prominent educational platforms for mastering BI,  SQLBI  stands out for its focus on Microsoft technologies like Power BI, DAX (Data Analysis Expressions), and SSAS Tabular.  ·         This guide delves deep into how SQLBI can serve as an invaluable educational resource, helping both educators and learners build practical and theoretical knowledge of BI. What is SQLBI? ·         SQLBI is an educational platform dedicated to the study and application of Business Intelligence, particularly focused on Microsoft technologies. ·         Founded by renowned experts M...
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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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