Ultimate Guide to Data Pipelines for Data Engineers
Learn how data pipelines work, covering batch and streaming processing, ETL/ELT, data contracts, and practical architecture patterns for data engineers.
engineeringA collection of 7 posts
Data architecture in real-life: Warehouse, Lake, Lakehouse, Fabric and Mesh
Warehouse, Lake, Lakehouse, Fabric and Mesh organize data differently. Understand their differences and choose the right approach.
Data & AI Bookshelf
List of must-read Data and AI books, grouped by topic, each with a one-line takeaway.
Masterclass Data Modeling: How Data Changes Drive Schema Design
Shows why mutable versus immutable data shapes the schema, compares event sourcing, slowly changing dimensions and snapshots.
Data Modeling: Dive into data normalization levels
Normal forms sound scary? We make 1 NF to 5 NF clear and show when bending the rules speeds up your queries.
The Foundation of a Scalable Data Architecture: Data Storage
Storage is the backbone of every modern stack. See how OLTP, ODS and MDM layers team up to keep dashboards sharp and models fed.
Analytical vs Transactional: Why You Can’t Mix Oil and Water
Sprint or marathon? OLTP keeps apps lightning fast, OLAP digs deep for insights. Learn why one engine can’t do both and how to keep each at top speed.