Introduction to Data Engineering Life Cycle
Learn what data engineering life cycle is with a real-life example.
We'll cover the following
Data engineering is a broad domain. Data engineers are responsible for developing and maintaining end-to-end systems that involve various technologies and require considerable engineering skills. Given the continuous emergence of new technologies, keeping pace with every tool can be challenging. Let's move beyond a specific collection of tools and have a holistic view of the data engineering life cycle, which will lay a solid foundation for future development.
What is the data engineering life cycle?
The data engineering life cycle involves a series of processes, which can be categorized into five groups:
Ingestion
Transformation
Visualization
Storage
DataOps/security/infrastructure
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