Connect Google Bigquery and Coursera: Data Science Specialization to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Bigquery
Choose an Action
Automatically do this!
- Request a new Action for Coursera: Data Science Specialization
Enable Integrations or automations with these events of Google Bigquery and Coursera: Data Science Specialization
Enable Integrations or automations with these events of Google Bigquery and Coursera: Data Science Specialization
Actions
Delete Rows
Deletes rows from a BigQuery table that match the provided WHERE condition.
Run SQL query
Run a SQL query and return results.
Find Row
Find row(s) by specifying a table, a WHERE clause, an optional ORDER BY, and a LIMIT.
Insert Rows
Insert one or more rows into a BigQuery table.
Update Rows
Update specified fields in rows of a BigQuery table that match the provided WHERE condition.
Create a Table
Creates a new, empty table in the dataset.
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Frequently Asked Questions
To start, connect both your Google Bigquery and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in Coursera: Data Science Specialization. This includes choosing which data fields go into which fields of Coursera: Data Science Specialization, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and Coursera: Data Science Specialization typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Google Bigquery and Coursera: Data Science Specialization. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Learn MoreAbout Coursera: Data Science Specialization
Master the art of data science with Coursera’s Data Science Specialization, created by Johns Hopkins University. This program guides you through the full data science pipeline—from data wrangling and statistical analysis to machine learning and data visualization—using R and real-world projects.
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