Summary: Introduction to the concepts and basic functionality of the Mapper, including where the Mapper fits into the pipeline and some basic use cases.
The Mapper lets you define how your various inputs will be mapped into your target data warehouse by defining which event fields are replicated into which tables and columns.
Alooma makes mapping both structured and unstructured data quick and simple. You choose whether to specify the target database’s column names and field data types, or whether to let Alooma do it for you automatically.
Alooma’s auto-mapper can automatically name columns and map field data types, so that you don’t have to.
Since you know your data best, you can modify any mapping for any type of input, as needed. Alooma makes that easier and faster by showing you the composition of your data and letting you have granular control over the behavior of each field.
As any data veteran knows, incoming data schemas have a tendency to change, especially when you least expect. Alooma can automatically map schema changes and add new fields as they occur, or send any such event to the Restream queue for your review.
When you first set up Alooma, and after you have defined an input, use the Mapper to map each event from that input to your target data warehouse.
Later, you can use the Mapper after you define additional inputs or when Alooma detects a new or changed field in an event. Alooma alerts you regarding event types that require mapping in the Notification pane of the Dashboard. For example, New Event Type Needs Mapping or Partially Mapped Event.
To open the Mapper:
Click the Mapper icon in the left navigation pane.
– OR –
Click the Plumbing icon in the left navigation pane and then click the green Mapper node.
Continue to learn how to navigate the Mapper.