Summary
In this chapter, we learned about the IaaS, PaaS, and SaaS services in Azure that can help a data engineer build a data lake. We also discussed that cloud vendors provide many different options to perform similar operations. It is up to the data engineer to choose the right service that provides the customer with benefits based on their usage patterns, in-house skills, and budget.
The modern-day data pipeline requires careful planning, design, development, and deployment. In the next chapter, we will learn about the life cycle of a data pipeline and effective strategies for each phase of data pipeline creation.
