In the preceding chapter, you understood the various aspects of Data Consumption in detail, such as Data Discovery and Data Provisioning. We also understood architectural guidance on choosing the Big Data tools and technologies that can be used for Data Discovery and Data Provisioning.
In this chapter, you will understand the details of Data Governance; the following topics will be covered:
Learn how to deal with management, usability, security, integrity, and the availability of the data in Data Lake
Dive deep into the various Data Governance disciplines such as metadata management, lineage tracking, and data lifecycle management that are commonly applied on the data as it flows through each tier of Data Lake
Explore how the current Data Lake could evolve in a futuristic setting
The following figure represents the end-state architecture of the Data Lake as discussed in Chapter 1, The Need for Data Lake. As shown in the following figure, we will discuss the highlighted...