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.

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

Overview:

• The life cycle begins with getting data from multiple sources and ingesting it into the storage.
• Next, data is transformed from its original format into a format for the downstream use cases.
• Last, the transformed data is fed into different business intelligence (BI) tools to draw business insights.

Info

Reference: Educative - Data Engineering Life Cycle