Data Modeling & Warehousing

Data Lakes / Warehouses / Lakehouses

What Is a Lakehouse? Architecture & Use-Cases Explained in Depth Data Warehouse vs Data Lake: Simplified for Beginners – Key Differences, Uses, and Decision Guide

Data Mesh Architecture

Implementing Data Products in a Data Mesh: Essential Strategies and Practices Introductory Guide to Data Mesh for Analytics Engineer: Principles, Architecture, and Implementation

Database Design & Normalization

Surrogate vs Natural Keys: Choosing the Right Primary Key for Databases Understanding Database Normalization and Denormalization: Concepts, Forms, and Applications

Dimensional Modeling

Slowly Changing Dimensions Type 2 Explained: Complete Guide Data Modeling Basics: Star Schema vs. Snowflake Schema Explained Explaining Fact and Dimension Tables for Beginners: Essential Concepts in Data Warehousing

ETL vs ELT Strategies

Change Data Capture Patterns for Analytics Pipelines: The Complete Guide ETL vs ELT Explained Simply: Key Differences, Pros, and Use Cases

Incremental & Streaming Models

Building Streaming Data Models with dbt & Kafka: A Modern Guide How Analytics Engineers Can Implement Incremental Models

Metadata & Schema Management

Automated Data Catalogs: DataHub vs Amundsen vs Atlan Compared Data Lineage for Analytics Engineers: An Introduction Guide Best Practices for Data Documentation: Fundamentals & Strategies