2. Artificial Intelligence Storage Requirements

Activity 2.01: Requirements Engineering for a Data-Driven Application

Solution

1. Taxi data (GPS locations, current rides), HR system data (drivers), map data, phone calls, and email records with customer interaction, website, and app input (queries for rides, page visits).

   The layers for the solution are as follows:

   Figure 2.16: Layers in a data-driven application

2. There are daily updates from source systems: raw -> historical -> analytics layer.

   There is a streaming data pipeline for events from taxis.

3. The minimum set of metadata to capture is the source, owner, date, type, and the transformations that have been applied to the data records. This metadata can be used for auditing, security and consent management, and lineage reports.
4. The solution will probably receive an AIC rating of 323 or higher since it contains sensitive and private data (personnel records, GPS locations, and so on). Therefore, security...