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Expected Intercom data

Here’s a sample of the raw Intercom data that Stitch will replicate to your analytics warehouse:

Admins

The admins table has columns for the admin type, ID, name, and email.

Table name: admins

Companies

The companies table contains the Intercom company ID, name, custom attributes, session count, monthly spend, user count, plan, and creation and updated at info.

Table name: companies

Conversations

Our Intercom integration retrieves user conversations, or convos initiated by your users. Attributes of the conversations table include the ID, the starting message, the user, the assignee, read and open flags, and created at and updated at info.

Table name: conversations

Segments

Segments are groups of users defined by rules you set. Attributes of this table include the type, ID, name, and creation and updated at info.

Table name: segments

Tags

The tags table includes the data for the tags in your account. Attributes include the tag type, ID, and name.

Table name: tags

Users

The users table includes information about the users in your Intercom account such as the Intercom ID, type, user ID, email, name, custom attributes, request info, session count, location data, IP, tags, and creation, sign-up, and updated at info.

Table name: users

View all tables

Learn more about syncing Intercom data

Documentation

Detailed documentation on how to start syncing Intercom data.

Intercom Documentation

Manual Instructions

How to extract data from Intercom and load it to Delta Lake on Databricks manually.

Intercom to Delta Lake on Databricks Manually

Simplify your Delta Lake on Databricks migration

When it comes to replicating your data to Delta Lake on Databricks, conventional ETL is no longer the only game in town.

Writing ETL code requires big investments of time, money, and expertise that might otherwise be used for innovation. Most importantly, newer approaches to data ingestion deliver faster implementation than traditional ETL, so you can produce data analytics and business intelligence more quickly.

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