How many types of DataRaptor are there?

DataRaptors in Salesforce, specifically within the context of Salesforce Industries (formerly Vlocity), are designed for transforming and managing data. There are indeed four types of DataRaptors:

1. DataRaptor Extract: This type is used to fetch or extract data from the Salesforce database based on specified criteria. It's typically employed in scenarios where data needs to be retrieved for display or processing.

2. DataRaptor Load: This type allows for loading or inserting data into Salesforce. It facilitates the process of inputting data collected from external sources into the Salesforce environment.

3. DataRaptor Transform: As the name suggests, this type is primarily focused on transforming data. It takes data as input (whether from an Extract or another source), manipulates it through a defined set of rules, and produces transformed output. It's crucial for scenarios where data needs reformatting or recalibration before being engaged in other processes.

4. DataRaptor Merge: This type is utilized to consolidate multiple records or datasets into a single output, effectively merging data from various sources.

Understanding the four types of DataRaptors helps in grasping how they can be effectively utilized for different data manipulation tasks within Salesforce, allowing for optimized data