Modern Data Flow: The Key to Modern Data Pipelines

What this post added

This post discusses the evolution of data pipelines, drawing parallels to the evolution of application development with microservices and DevOps. It highlights the 'pipeline problem' of fragility and lack of trust in traditional data pipelines. The post introduces two key trends: 'Data as a Product,' emphasizing decentralized ownership and consumer-centric data sharing, and 'Declarative Transformation Models,' exemplified by dbt, which promotes modular, testable, and reusable data transformation logic. It also touches on the importance of developer-friendly tooling and the adoption of software development lifecycle practices in data engineering.