Introduction to Data Engineering Life Cycle
Learn to navigate the data engineering life cycle by exploring key processes such as data ingestion, transformation, and visualization. This lesson uses a Google Analytics example to demonstrate how raw data flows into storage, gets processed, and is prepared for business insights. Gain foundational knowledge essential for managing data pipelines and supporting data operations.
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 ...