Integrate Google BigQuery with Retently

Integrate Retently survey responses into BigQuery to perform advanced analytics and generate comprehensive reports on customer satisfaction trends, enabling data-driven decision-making for improving customer experience.

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About Google BigQuery

BigQuery is a serverless data warehouse service designed for scalable data analysis. It allows users to run large queries on data stored in the cloud, efficiently processing large datasets for analytics purposes.

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Google BigQuery to Retently

1

Query Job Completed (With Row Data)

Triggers when a query job has completed processing successfully.
2

New Job Completed

Triggers when a query job has completed processing successfully or unsuccessfully.
3

New Row

Triggers when a new row is added to a table.
4

Updated Row

Triggers when an existing row is updated in a table in BigQuery.
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Retently to Google BigQuery

1

Create Row

Creates a new row of data in a table.
2

Delete Rows

Deletes row(s) in an existing table in BigQuery.
3

Run a Query

Runs a SQL query against a table in BigQuery.
4

API Request (Beta)

Makes a raw HTTP request that includes this integration's authentication.
5

Find Row(s)

Finds row(s) by specifying a table, a WHERE clause, an optional ORDER BY, and a LIMIT.
6

Find or Create Record

Finds or creates a record in a specified table.
7

Create Rows

Creates new rows of data in a table (accepts line items).
8

Import Data

Imports data into a table. The data must be in JSON format.
9

Update Row(s)

Updates row(s) in an existing table in BigQuery.
10

Find One Row

Finds a row by specifying a table, a WHERE clause, an optional ORDER BY.
11

Get Rows for Job Completed

Gets a batch of rows from completed jobs in BigQuery.

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