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What is the Data Engineering Lifecycle?
A data engineer today oversees the whole data engineering process, from collecting data from various sources to making it available for downstream processes. The role requires familiarity with the multiple stages of the data engineering lifecycle and an aptitude for evaluating data tools for optimal performance across several dimensions, including price, speed, flexibility, scalability, simplicity, reusability, and interoperability.
The data engineering lifecycle, inspired by
Fundamentals of Data Engineering
Example Open Data Stack Project
With the Open Data Stack project, we are implementing a hands-on example with the core components of the lifecycle, such as ingestion, transformation, analytics, and machine learning.
Read more on The Evolution of The Data Engineer: A Look at The Past, Present & Future.