After adding new columns to a source table, how do you include them in your data model?

To include new columns from a source table into your data model, synchronizing with the database is the required action. When you synchronize with the database, the data model gets updated to reflect changes made to the underlying database schema, such as the addition of new columns. This process ensures that the model contains the most up-to-date structure and can incorporate new data attributes, thereby maintaining the integrity and relevance of your analytics.

The act of synchronization typically involves the data model querying the database to detect any alterations, which can include not only new columns but also modifications or deletions of existing ones. This is a crucial step to ensure that your analytics insights are based on the latest data available, providing accurate and actionable information.

In contrast, updating the data model may imply making general modifications or refreshing data, but it does not specifically guarantee the addition of newly created columns. Similarly, adding columns directly from the database would require manual intervention that is not necessary with synchronization. Connecting to tables is more about establishing a link to the data source rather than updating the model with any changes made in the backend structure. Synchronization encapsulates this essential updating process effectively.