Integrations BigML Looker (Google Cloud)
BigML + Looker (Google Cloud)

Connect BigML and Looker (Google Cloud) to Build Intelligent Automations

Choose a Trigger

BigML

When this happens...

Choose an Action

Looker (Google Cloud)

Automatically do this!

Enable Integrations or automations with these events of BigML and Looker (Google Cloud)

Enable Integrations or automations with these events of BigML and Looker (Google Cloud)

Triggers

New Resource

New Resource

Triggers when a new resource is created

Request a new Trigger for BigML

Actions

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

Create Prediction

Create Prediction

Predict using a model , logistic regression or deepnets

Find Resource

Find Resource

Finds a resource

List Sources

List Sources

Get all the sources.

List Datasets

List Datasets

Get all the dataset.

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Frequently Asked Questions

How do I start an integration between BigML and Looker (Google Cloud)?

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

Can we customize how data from BigML is recorded in Looker (Google Cloud)?

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

How often does the data sync between BigML and Looker (Google Cloud)?

The data sync between BigML and Looker (Google Cloud) 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 BigML to Looker (Google Cloud)?

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 BigML and Looker (Google Cloud)?

Yes, you can set conditional logic to control the flow of data between BigML and Looker (Google Cloud). 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.

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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Looker (Google Cloud)

About Looker (Google Cloud)

Looker, a part of Google Cloud, is a powerful business intelligence and data analytics platform that enables organizations to explore, analyze, and share real-time business insights. It provides a robust environment for data-driven decision-making by offering intuitive data visualization, customizable dashboards, and seamless integration with various data sources. Looker empowers teams to collaborate on data analysis and derive actionable insights to drive business growth.

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