Connect Google Books and BigML to Build Intelligent Automations

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Google Books

When this happens...

Choose an Action

BigML

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Ready to use Google Books and BigML automations

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Resource

New Resource

Triggers when a new resource is created

Request a new Trigger for Google Books

Do thisActions

Action is the task that follows automatically within your Google Books integrations.

Add Volume to Bookshelf

Add Volume to Bookshelf

Adds a specific volume to a specified bookshelf in the user's Google Books library.

List Volumes on a Bookshelf

List Volumes on a Bookshelf

Retrieve the list of volumes on a specific user's bookshelf in Google Books.

Search Books

Search Books

Find books by title, author, or keyword using optional filters.

List Bookshelves

List Bookshelves

Retrieves a list of public bookshelves for a specified Google Books user.

Create Anomaly Score

Create Anomaly Score

Calculates the anomaly score of a data instance.

Create Centroid

Create Centroid

Find out the closest cluster to your data instance

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Frequently Asked Questions

How do I start an integration between Google Books and BigML?

To start, connect both your Google Books and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Books triggers actions in BigML (or vice versa).

Can we customize how data from Google Books is recorded in BigML?

Absolutely. You can customize how Google Books data is recorded in BigML. This includes choosing which data fields go into which fields of BigML, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Google Books and BigML?

The data sync between Google Books and BigML typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Google Books to BigML?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Google Books and BigML?

Yes, you can set conditional logic to control the flow of data between Google Books and BigML. 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.

Google Books

About Google Books

Google Books is a comprehensive platform for discovering, reading, and managing a vast collection of books online. It offers users the ability to search for books, read previews, and access a wide range of literary content from various genres and authors.

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BigML

About BigML

BigML is a leading machine learning platform that provides a wide range of tools and services for creating, deploying, and managing machine learning models. It offers an intuitive interface and powerful APIs to help businesses and developers harness the power of machine learning for predictive analytics, anomaly detection, clustering, and more.

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