Meeting customer expectations
Based on the results shown in the preceding section, we can safely infer that we can query data successfully from the silver and gold layers of the Electroniz lakehouse. This is certainly a huge technical win; however, the real question is whether we meet customer expectations from a business standpoint.
Before we deep dive into validating the business requirements, we need to ascertain if we provided sufficient access to our end users, such as data analysts, data scientists, and business intelligence engineers. Ultimately, the end users will be using the lakehouse for their diverse analytical requirements, so their needs should be addressed properly.
Let's focus on validating the business requirements that were put forth by Electroniz at the start of the project:
- First, Electroniz aimed for a near-real-time sales analytics platform that can serve their customer needs faster and better.
You may recall that Electroniz sells products both...