Chapter 10: Solving Data Engineering Challenges
In the past few chapters, we learned about the data lakehouse architecture. After covering several exercises, we learned how a data engineer builds and deploys the bronze, silver, and gold layers of the lakehouse. Data in the lakehouse increases and changes over time. As new data sources get added and the previous ones undergo modifications, the data engineering practice needs to keep up with this growth. Just like anything else in the industry, the role of the data engineer needs to evolve as well. In addition to building and deploying data pipelines, they need to cover several other complicated aspects of data engineering that were not covered previously. They must learn to deal with these new challenges.
In this chapter, we will cover the following topics:
- Schema evolution
- Sharing data
- Data governance
