Data Engineering Lifecycle
A technology-agnostic framework proposed by Joe Reis and Matt Housley in Fundamentals of Data Engineering, dividing data engineering work into five interconnected stages: data generation, storage, ingestion, transformation, and serving.
Timeline (last 90 days)
The core structure of the course revolves around the "data engineering lifecycle," covering stage by stage the complete process of data from ingestion and storage to transformation and serving.
The concept of the data engineering lifecycle was systematically articulated by Joe Reis and Matt Housley in the book Fundamentals of Data Engineering.
The data engineering lifecycle divides a data engineer's work into five stages: data generation, data storage, data ingestion, data transformation, and data serving.
The data engineering lifecycle framework is technology-agnostic, meaning each stage always exists regardless of how tools evolve.
All Facts (4)
The core structure of the course revolves around the "data engineering lifecycle," covering stage by stage the complete process of data from ingestion and storage to transformation and serving.
50%UnverifiedThe concept of the data engineering lifecycle was systematically articulated by Joe Reis and Matt Housley in the book Fundamentals of Data Engineering.
50%UnverifiedThe data engineering lifecycle divides a data engineer's work into five stages: data generation, data storage, data ingestion, data transformation, and data serving.
50%UnverifiedThe data engineering lifecycle framework is technology-agnostic, meaning each stage always exists regardless of how tools evolve.
50%