In the previous chapters, we discussed the Data Intake and Data Management tiers. During intake, we have seen that the data is ingested from disparate sources and stored in the Raw Zone. The Data Management Tier performs data profiling and validation; integrates, cleanses, standardizes, and enriches the data and places it in the Data Hub Zone.
Let us now understand how this data can be discovered, packaged, and provisioned for it to be consumed by the downstream systems. Data Consumption comprises Data Discovery and Data Provisioning. In this chapter, we will enable you to understand the following topics:
The process of enabling discovery in the Data Lake
The various Data Discovery functionalities
The important aspects of Data Provisioning such as data publication and subscription.
The architectural guidance on choosing Big Data tools and technologies for Data Discovery and Data Provisioning
The following figure represents the end-state architecture of...