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Microsoft SQL Server

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List datasets DDL

Create a new, empty table in the dataset.

Create table

Add or update one or more columns in a table in BigQuery via the API, so you don't have to create them manually. Useful when you're looking to ensure that a table matches a schema before running an "Insert Rows" operation.

Add or update columns in table

Delete the table specified by table_id from the dataset. If the table contains data, all the data will be deleted.

Delete table

Get job

Gets full details about a Google BigQuery table.

Get table

Insert job

Inserts up to 500 rows into a Google BigQuery table.

Insert rows

Uploads a CSV file to BigQuery, saves the rows into a table.

Insert rows from CSV file

List datasets

List job query results

List jobs

List jobs DDL

List all the projects you have in your Google BigQuery account.

List projects

List projects DDL

List tables

List tables DDL

Run query

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How to integrate Amazon Redshift

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Database

Returns a summary of visitor activity for a 24 hour time period.

Get visitor history

Aggregations are a query language for accessing and processing Pendo data. Note, a seperate Authentication with a seperate integration key must be created to access the Pendo Adopt API.

Aggregation

Gets an account object using an account ID.

Get account by ID

Get report contents

Get report contents as CSV

Retrieves visitor specific details by a visitor ID.

Get visitor by ID

Returns all public reports for a subscription.

List reports

List reports DDL

Perform a raw HTTP request with some pre-configuration and processing by the connector, such as authentication.

Raw HTTP request (advanced)

Send a track event. Please note to work with this operation you should have authenticated with your 'pendo-track-event-secret-key' which is different from your 'x-pendo-integration-key'.

Send track event

Sets the value of multiple metadata fields on set of accounts or visitors.

Update object values

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Quick and easy Pendo integrations

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Automation

Pendo automation for any use case

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Use cases

Advanced Pendo use cases

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Google BigQuery and Pendo integrations couldn’t be easier with the Tray Platform’s robust Google BigQuery and Pendo connector, which connects any services without the need for separate integration tools.

Google BigQuery and Pendo integrations couldn’t be easier with the Tray Platform’s robust Google BigQuery and Pendo connectors, which can connect to any service without the need for separate integration tools.

Integrate Google BigQuery and Pendo with any SaaS application or service using the Tray Platform’s generic connectivity options, such as the HTTP Client, Webhook Trigger, and our Connector Builder. Configure them to connect to Google BigQuery and Pendo and any other API, database, webhook, and more.