What integration method should be recommended for joining data from multiple systems into a single Wave Lens?

The recommended integration method for joining data from multiple systems into a single Wave Lens is to use an ETL (Extract, Transform, Load) tool to join multiple sources and load them into a single data set. This approach facilitates realizing an integrated view of disparate data sources, allowing for complex transformations and merges that are often required when dealing with diverse data structures and types.

Using an ETL tool to join multiple data sources means that the data can be aggregated, filtered, and transformed before being loaded into Salesforce. This is crucial when you need to combine data from different systems, as it ensures that you can unify data formats, cleanse the data for inconsistencies, and prepare it in a way that is conducive to analysis and reporting in Wave Lens.

Additionally, this method allows for efficient data processing, as ETL tools are specifically designed to optimize the extraction and loading process, which can handle large volumes of data more efficiently than other means. By establishing a data set that is both comprehensive and reflective of the current state of multiple data sources, organizations can generate more accurate insights through visualizations in Wave Lens.