![]() ![]() The joining process is similar but visually looks different and can be seen below.Ħ. A "Question" in Metabase is a pre-set query that you can access on the fly for a quick visualization. You can also join data as part of a "Question". An example of how to join tables can be shown below.ĥ. So in order to see certain labels you have to join tables using the keys listed in the ERD that can be found here. HubSpot stores all of its data in separate tables and we replicate that structure. Once you are inside the data model section of Metabase you are able to relate the various data tables in the connector database. To do so go to the Data Model section in the Metabase Admin panel and select the database you added.Ĥ. ![]() ![]() After you connect your database to Metabase you can begin setting up the relationships between the data tables as needed. Be sure to also enter the port listed below.ģ. After than enter your Connector details that were sent to you via email. Select "SQL Server" as the database type. Select Databases and then select Add database.Ģ. Start Metabase and go to the Metabase Admin section. An email will then be sent to you with your server information. Upon Activation one Azure SQL DB will be created with the user's data. Once you have successfully signed up, we will activate your user. Please fill out all required information in order to activate your service. You are then re-directed to the checkout screen. Authorize the app to connect to your HubSpot portal by clicking the Connect App button.ħ. Login to HubSpot if you are not already logged in and select the HubSpot account you wish to connect too.Ħ. You will be re-directed to an authentication page. Click the get started link on the app product page.Ĥ. To connect to your app of choice visit the following link and select the app you wish you use. This application consists of data synchronization between HubSpot and Azure SQL databases, as well as Schema Replication. Introduction The datawarehouse.io HubSpot Metabase Connector helps business analysts and decision makers to analyze data fluently without the hassle of excel spreadsheets. ![]()
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