Data Engineering Patterns (DEP)
Understanding Patterns: Generally repeated, identifiable designs or practices.
Welcome to the chapter on Data Engineering Patterns (DEP). This chapter builds on the bespoke convergent evolutions from previous chapters, illustrated by the Overall Graph of convergent evolution to pattern and ultimate design patterns. Here, we explore how DEPs recognize patterns, their features, and their general implementation, fitting common practices and procedures.
These patterns can help mitigate the Challenges along the Data Engineering Lifecycle, staying relevant for years and serving as a solid reference for data engineering problems.
In the next chapter, Data Engineering Design Patterns (DEDP), we'll focus on best practices and higher-level design problems that are systematically repeated in data engineering. For a Recap on the differences between these chapters, follow the link.
Let's dive now into the following chapters, where we'll delve deeper into these data engineering patterns.
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