Chapter 14: Wrapping Up the First Part of Your Learning Journey

In this book, we have explored many different aspects of the data engineering role by learning more about common architecture patterns, understanding how to approach designing a data engineering pipeline, and getting hands-on with many different AWS services commonly used by data engineers (for data ingestion, data transformation, and orchestrating pipelines).

We examined some of the important issues surrounding data security and governance and discussed the importance of a data catalog to avoid a data lake turning into a data swamp. We also reviewed data marts and data warehouses and introduced the concept of a data lake house.

We learned about data consumers – the end users of the product that's produced by data engineering pipelines – and looked into some of the tools that they use to consume data (including Amazon Athena for ad hoc SQL queries and Amazon QuickSight for data visualization...