Summary
In this chapter, you explored what a data lake is and how a data lake can help a large-scale organization. You learned about various data lake zones and looked at the components and characteristics of a successful data lake.
Further, you learned about building a data lake in AWS with AWS lake formation and data mesh architecture which connect multiple data lakes built across accounts. On the flip side, you explored what can be done to optimize the architecture of a data lake. Finally, you delved into the different metrics that can be tracked to keep control of your data lake. Additionally, you looked at the ultimate data lake (Google) and why it is challenging to replicate its functionality.
In the next chapter, you will learn about various patterns that facilitate the creation of resilient applications and systems by learning about availability, reliability, and scalability patterns.
