Video 6 Modelo de Datos

Video 6 Modelo de Datos

Detailed Data Model Creation Process

In this section, the speaker explains the process of creating a data model using Excel and Power Pivot.

Setting Up Data Model

  • Accessing the Power Pivot tab and selecting "Manage" opens a window to work with active data.
  • Choosing external data sources like Excel files for processing within Power Pivot.
  • Selecting the option to use the first row as column headers is crucial for proper data interpretation.
  • Extracting all information from the file reveals repeated categories due to multiple tabs representing different datasets.
  • Processing solid data elements such as categories, clients, products, territories, and sales for modeling.

Data Visualization and Arrangement

  • Loading all data into the model may take time depending on record quantity.
  • Viewing various tabs containing loaded information in both data view and diagram view.
  • Rearranging tables in diagram view by moving them closer together for better visualization.
  • Adjusting table positions manually due to limitations in automatic arrangement by Power Pivot.

Refining Data Model

  • Evaluating table necessity; removing redundant or unnecessary tables like categories if their data is already present in other tables.
  • Streamlining the model by eliminating redundant information to focus on essential elements like product categories stored elsewhere.

Establishing Relationships Between Data Tables

This part focuses on establishing relationships between different tables based on shared columns within the dataset.

Relationship Establishment

  • Deleting unnecessary tables like categories to simplify the model structure.
  • Selecting and arranging tables (clients, sales, territories, products), then establishing relationships based on common columns (e.g., territory ID).

Data Modeling and Analysis

In this section, the speaker discusses data modeling and analysis using Excel, focusing on establishing relationships between different data sets to create a data model for analysis.

Establishing Relationships

  • Selecting data points to establish relationships by creating links between them.
  • Demonstrating how to link customer sales data with product information by selecting and connecting relevant columns.
  • Linking product data with another table of products to establish connections within the dataset.

Data Model Creation

  • Introducing the created data model as a potential data warehouse or cube for analysis.
  • Highlighting the advantages of using such models, making it easier to create dynamic tables and dashboards for analysis.

Advanced Analysis Options