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.
best-ofA collection of 11 posts
Opening the Tomb: Who’s Really Buried Inside ChatGPT?
Who really built ChatGPT? Explore 10 foundational AI papers, from backpropagation and Transformers to GPT and RLHF, that shaped modern LLMs.
What Are Data and AI Products in the Real World?
It’s often confusing to define what really makes a Data or AI Product. This article breaks it down into false friends, enablers, and product families.
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.
Galaxy of Data/AI Skills – A Small E2E Project
We scraped 2500 job posts to map the hottest data skills in a glowing galaxy. Spot where Python, SQL and DevOps really rank.
Expert Power BI Toolbox: Foundations & Architecture
Power BI is not PowerPoint + Excel, but a full analytics engine where your architectural choices can MAKE or BREAK your dashboards.
Data Format: From CSV to Delta and Beyond
Still living on CSV? Discover how Parquet cuts storage bills and how Delta, Hudi and Iceberg add ACID power and time travel to your lake.
Data Team Maturity: Understanding Tooling Levels
Where is your team on the journey from spreadsheet chaos to smooth automation? Check the four levels and spot your next leap.
From Data Models to Database Technologies: Choosing the Right Tool for the Job
Picking a database is like choosing shoes for a race. Relational, document, graph or wide-column, find the pair that carries your data across the finish line.
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.