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Data Processing and ETL
Navigating the intricacies of data engineering roles requires an in-depth understanding of data processing and Extract, Transform, and Load (ETL) processes. Not only do these foundational skills form the foundation upon which data pipelines are constructed but they are also integral components of the data engineering interview landscape. Therefore, mastering them is a prerequisite for anyone seeking success in data engineering roles. In this chapter, we will delve into the nitty-gritty details of implementing ETL processes, examine the various paradigms of data processing, and guide you on how to prepare for technical data engineering interview questions. This chapter aims to equip you with the knowledge and skills ...
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