Introduction to Data Engineering Life Cycle

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