Data Pipeline Design for Data Engineers
Understanding databases, Extract, Transform, Load (ETL) procedures, and data warehousing is only the beginning of negotiating the tricky terrain of data engineering interviews. You also need to be an expert at designing and managing data pipelines. A well-designed data pipeline is the lifeblood of any data-driven organization, regardless of whether you are processing real-time data streams or orchestrating large-scale batch processes. This chapter aims to be your in-depth reference on this important topic, tailored to give you the information and abilities you need to ace the interview. We’ll examine the underlying principles of data pipeline architecture, go over how to create a successful data pipeline, and then put your knowledge to the test with real-world technical interview questions.
In this chapter, we will cover the following topics:
- Data pipeline foundations
- Steps to design your data pipeline
- Technical interview...
