Vishnu TR·Oct 24Percentage vs. Percentile in Data Analytics: Understanding Metrics That MatterFrom conversion rates to P95 response times, learn how to interpret these metrics correctly
Vishnu TR·Oct 10Good Prompting vs. Good Thinking: The AI Skill That Matters More Than You ThinkAI can give you better answers. But can you ask better questions?
InTowards Data EngineeringbyVishnu TR·Sep 21Logical vs Physical Data Model: What Data Analysts Should KnowFrom business requirements to database tables — understand the models behind the data you analyzeA response icon1A response icon1
Vishnu TR·Aug 10Quartile vs Quantile: Why Quartiles and Quantiles Are Not the Same ThingThe Difference Explained With Simple Examples
Vishnu TR·Dec 31, 2025The Evolution of Insight: Why “Wide Data” is the New “Big Data”The Shift from “Big Data” to “Wide Data”
Vishnu TR·Dec 30, 20255 Advanced Data Modelling Techniques Every Data Analyst Must LearnIn the modern data landscape, being a data analyst is no longer just about writing SQL queries or building basic pivot tables. To drive…
Vishnu TR·Dec 19, 2025Looker as the Semantic Layer for AI: Bridging the Gap Between Raw Data and Intelligent InsightsBuilding the Foundation for Reliable AI - The Role of Looker’s Data Modeling
Vishnu TR·Aug 12, 2025The Semantic Layer in Data Modeling: Bridging the Gap Between Bits and Business MeaningThe Foundation for Self-Service Analytics and Data Governance
Vishnu TR·Aug 6, 2025Vector Embeddings: Giving AI a Sense of MeaningHow Numerical Representations Power Intelligent Data Understanding
Vishnu TR·Jun 27, 2025Choosing the Right Chart: A Guide to Effective Data VisualizationThe Art and Science of Choosing the Perfect Data VisualizationA response icon1A response icon1
