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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