What should the Architect recommend to join data from multiple systems for display in Salesforce Wave?

The recommendation to use an ETL (Extract, Transform, Load) tool to join multiple sources and load them into a single data set is a strong choice because it leverages the ETL process to effectively handle complex data integration scenarios. By employing an ETL tool, an architect can extract data from various systems, perform transformations to ensure that the data is formatted and structured correctly, and then load it into a unified data set that can be utilized within Salesforce Wave (now known as Tableau CRM). This approach ensures that data from disparate sources is not just combined but also cleansed and optimized for reporting and analysis purposes.

Furthermore, using an ETL tool allows for greater control over data consolidation, offering advanced capabilities such as data cleansing, enrichment, and data validation. This method is particularly beneficial when dealing with large volumes of data or when the data needs to be manipulated significantly before it can be visualized effectively within the Salesforce platform.

In contrast, other options either rely on a combination of ETL and data flow without fully utilizing the benefits of an ETL process, or they suggest accessing real-time data, which may introduce latency or performance issues if visualized in a dashboard. Hence, the approach of joining multiple sources through a dedicated ETL solution offers a