Career: Mindset & Psychology

Question: Describe the different layers involved in Power BI architecture. Suggested Answer: The Power BI architecture consists of multiple layers that work together to transform raw data into actionable insights. A breakdown of the key layers is given below: 1. Data Sources Layer Purpose: Contains raw data from various sources. Examples: Databases (SQL Server, Oracle, MySQL) Files (Excel, CSV, JSON) Web APIs & SaaS apps (Salesforce, Google Analytics) Big Data (Azure Synapse, Hadoop) Streaming data (IoT, Kafka) 2. Data Transformation Layer (Power Query) Purpose: Cleans, transforms, and prepares data for analysis. Key Tasks: Data extraction (connectors) Filtering, merging, pivoting Handling missing values Query folding (pushing transformations back to the source) Tools: Power Query Editor in Power BI Desktop 3. Data Modeling Layer Purpose: Structures data for efficient analysis. Key Components: Star Schema : Fact tables (metrics) linked to dimension tables (categories) Relations...

Power BI - Simplified for You! Imagine you have a giant pile of numbers, sales reports, customer surveys, or even social media stats—and you need to make sense of it all. That’s where Power BI comes in! Power BI is a free (with paid upgrades) tool from Microsoft that turns boring data into interactive, visual stories. Think of it like a supercharged mix of Excel + PowerPoint + magic dashboards. Definition:  Power BI is a business analytics service developed by Microsoft that enables organizations to visualize, analyze, and share data across departments or with external stakeholders. It provides an integrated suite of tools for data ingestion, transformation, modeling, and interactive reporting, supporting self-service analytics and enterprise-grade business intelligence (BI).