Summary
This chapter was a 30,000-feet overview introduction to a data lakehouse architecture. This chapter started with the system context that established the critical systems and people that generate data for a data lakehouse and consume data from it. Next, we discussed the motivations and use cases for different types of data. Once the section clarified the system context, the chapter introduced the logical architecture of a data lakehouse. Next, the chapter provided a brief overview of the seven layers of a data lakehouse and its components. Finally, the chapter concluded with an elaboration of five sacrosanct architecture principles core to a robust data lakehouse architecture. The chapter lays the architectural foundation for a modern data analytics platform. Now that the stage is set, the subsequent chapters will go deeper into each of the layers and discuss design patterns for each layer.
In the next chapter, we will cover storing data in a data lakehouse.
