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In this section, we will focus on the architectural components of embedded analytics. To understand this end-to-end architecture, we will break it down into three layers:
This is better represented with the following diagram:
Figure 7.1 – Generic architecture for embedded analytics
Generally, a client typically accesses a web app or a web portal using their web browser. In many cases, the user will need to authenticate with the web app. The client will present user credentials (typically, a username and a password) to the authentication layer, which sends back an access code/token so that the client can communicate with the web application layer. In embedded analytics, the web application layer will be responsible for getting the embedded visuals from the BI layer, which, in turn, would be responsible...