Working with Strings in Python - Python has a lot of useful features built into its data types, as we’ve seen with our record dictionaries, but strings (text values) can do a lot for us as well.
Removing Fields from a Record - There are two main ways to remove a field from a Record… Or three, if we count simply clearing out the value.
Writing to Records - There are a few different ways that we can modify an existing record, to add a new field and value, change the value on an existing field, or remove a field entirely.
Reading from Records - There are two main ways to access the individual values (or “fields”) of a Record: Indexing and the get() Method.
The Default Transform & Working with Records - Matterbeam allows you to write your own Transformation steps in Python: Functional units of code that will be run on individual records.
Did you know you can send data to Matterbeam over HTTP using our HTTP Collector? Matterbeam provides an always available HTTP endpoint where you can PUT data for immediate use. Simply provide the name of your dataset in the url and a record in the request body. You can get
This is a comprehensive guide on how to get set up using Matterbeam's Salesforce Collector to gather your CRM data. With Matterbeam, you can select specific Salesforce objects for collection, ensuring your data is instantly available for transformation and emission to various destinations. To discover how Matterbeam can
