This chapter has emphasized the need for Data Lake implementation in an enterprise context and has provided a practical guidance on when to go for a Data Lake. We can now comprehend the significant benefits a Data Lake offers over a traditional Data warehouse kind of implementation.
In the later sections, we introduced you to the Data Lake concept and its essentials. We then covered the various layers of a Data Lake and provided an overview of its architectural components and details of how crucial each of these components are in building a successful Data Lake.
In the next chapter, you will understand the Data Intake component and the functionalities that can be enabled for this component. It provides architectural guidance and delves deeper into the various Big Data tools and technologies that can be used for building this component.