Category - Data Engineering
2023
Data Modeling - The Unsung Hero of Data Engineering: Architecture Pattern, Tools and the Future (Part 3)
05-26
Data Modeling – The Unsung Hero of Data Engineering: Modeling Approaches and Techniques (Part 2)
05-03
Data Modeling – The Unsung Hero of Data Engineering: An Introduction to Data Modeling (Part 1)
04-03
Pandas 2.0 and its Ecosystem (Arrow, Polars, DuckDB)
03-08
Modern Data Stack: The Struggle of Enterprise Adoption
01-09
Why Vim Is More than Just an Editor – Vim Language, Motions, and Modes Explained
01-04
The Open Data Stack Distilled into Four Core Tools
01-03
2022
Data Integration as Code: Configuring Airbyte and dbt with Python (Dagster)
12-19
Rust for Data Engineering
10-19
The Rise of the Semantic Layer
09-29
Data Lake / Lakehouse Guide: Powered by Data Lake Table Formats (Delta Lake, Iceberg, Hudi)
08-25
Data Orchestration Trends: The Shift From Data Pipelines to Data Products
06-14
Building an Analytics API with GraphQL: The Next Level of Data Engineering?
01-22
2021
Building a Data Engineering Project in 20 Minutes
03-09
2020
Business Intelligence meets Data Engineering with Emerging Technologies
06-14
2018
Open-Source Data Warehousing – Druid, Apache Airflow & Superset
11-29
OLAP, what’s coming next?
11-23
Data Engineering, the future of Data Warehousing?
03-08
2017
Data Warehouse vs Data Lake | ETL vs ELT
10-26
2016
Migrate from Oracle to Microsoft (Views) – Part III
09-24
