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Expected HubSpot data

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

Contacts

For a given portal, return all contacts that have been created in the portal.

Table name:contacts

Contact Lists

For a given portal, return all the contact lists that have been created in the portal.

Table name:contact_lists

Campaigns

For a given campaign, return data associated with the campaign.

Table name:campaigns

Subscriptions

Returns all email subscription types that have been created in the given portal.

Table name:subscriptions

Email Events

Query the event log for a specific event and get results for that email event.

Table name:email_events

View all tables

Learn more about syncing HubSpot data

Documentation

Detailed documentation on how to start syncing HubSpot data.

HubSpot Documentation

Manual Instructions

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

HubSpot and load it to Delta Lake on Databricks manually.

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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.

This is where Stitch can help.

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Data Lead, Qonto

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Stitch is a simple, powerful ETL service built for developers. Stitch connects to your first-party data sources – from databases like MongoDB and MySQL, to SaaS tools like Salesforce and Zendesk – and replicates that data to your warehouse. With Stitch, developers can provision data for their internal users in minutes, not weeks.

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