Data Engineering | Data Engineering Blog

Category - Data Engineering

51 articles in this topic

2024

Designing a Declarative Data Stack: From Theory to Practice 12-20

Semantic Layer and AI: The Future of Data Querying with Natural Language 12-19

Universal Semantic Layer: Capabilities, Integrations, and Enterprise Benefits 12-04

Exploring the Semantic Layer Through the Lens of MVC 11-19

15+ Companies Using DuckDB in Production: A Comprehensive Guide 11-12

BI-as-Code and the New Era of GenBI 11-05

The Enterprise Case for DuckDB: 5 Key Categories and Why Use It 10-16

The Rise of the Declarative Data Stack 10-16

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

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

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