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Creating entities in Cargo

By the end of this section, you should be able to:
  1. 1.
    Understand what an entity is and why you need one
  2. 2.
    Follow a step-by-step guide to set up an entity

Why Create an Entity?

Think of it this way: You've set up various data connectors in Cargo. While each source has valuable data, you get 10x more insights when you merge them under a unified definition.
Imagine connecting contact details from your Hubspot dataset with product usage info from Amplitude. This connection is made possible through entities.

Step 1: Querying Data

  • Name it: Start with a descriptive name for your entity.
  • Query it: Use SQL to extract necessary data.
Most SQL queries will follow the following basic template. If you've never used SQL before, play around with this structure to begin with:
SELECT [column_name1], [column_name2]
FROM [dataset_name_1]
WHERE [condition1 = value] AND [condition2 = value]
GROUP BY 1,2 --add as many numbers as the columns you've chosen in SELECT
Often you'd like to join to a secondary table in order to have a consolidated view in your entity. In this case, add the below to your code:
JOIN [dataset_name_2]
ON [dataset_name_1].[id_column_dataset_name_!
  • Preview: Before moving on, check if the data looks right. Use column selectors for better clarity

Step 2: Designate Your Identifiers

When setting up an entity, you need a way to uniquely identify each record:
  1. 1.
    Primary column selection:
    • What is it? This is like the "unique name" for each record in your dataset
    • Action: From your columns, choose one that acts as this unique identifier. This could be something like a 'Customer ID' or 'Email Address'
  2. 2.
    Time-based identifier (optional):
    • What is it? If your data has time-stamps or dates (like "Date of Purchase"), you might want to identify records based on these
    • Action: Select the column which holds this time-based information

Step 3: Building Connections (Defining Relationships)

Take two datasets: one lists names of prospects, and the other lists details of projects.
Wouldn't it be helpful if you knew which prospect belongs to which project? That's what relationships mean for entities
First, ask yourself:
  • Do I need this new entity to connect with another existing entity?
If yes, follow these steps:
  1. 1.
    Select related Entity:
    • Action: Choose the entity you wish to connect with
  2. 2.
    Determine relationship type:
    What is it? Relationships can be:
    • One-to-One: One record in your entity matches one in another. E.g., One employee has one unique employee ID.
    • One-to-Many: One record in your entity matches multiple in another. E.g., One book author wrote several books.
    Action: Decide which type fits your data best. <add visual>
  3. 3.
    Identify the matching key on your entity:
    • Action: Pick the column in your current entity that you want to use for matching. This might be something like 'global_id'
  4. 4.
    Identify key on the other entity:
  • Action: Choose the corresponding column in the other entity that matches with your chosen key
  1. 5.
    Redo the process, but this time starting from the other entity, in order to ensure that the relationship is two-way
    1. 1.
      The only thing that will change is that the left column and right column will be inversed