Audience

Anyone who needs an interactive tool for data exploration, analysis, visualization, and machine learning

About Google Cloud Datalab

An easy-to-use interactive tool for data exploration, analysis, visualization, and machine learning. Cloud Datalab is a powerful interactive tool created to explore, analyze, transform, and visualize data and build machine learning models on Google Cloud Platform. It runs on Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks. Cloud Datalab is built on Jupyter (formerly IPython), which boasts a thriving ecosystem of modules and a robust knowledge base. Cloud Datalab enables analysis of your data on BigQuery, AI Platform, Compute Engine, and Cloud Storage using Python, SQL, and JavaScript (for BigQuery user-defined functions). Whether you're analyzing megabytes or terabytes, Cloud Datalab has you covered. Query terabytes of data in BigQuery, run local analysis on sampled data, and run training jobs on terabytes of data in AI Platform seamlessly.

Pricing

Free Trial:
Free Trial available.

Integrations

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Company Information

Google
Founded: 1998
United States
cloud.google.com/datalab

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

Google Cloud Datalab Frequently Asked Questions

Q: What kinds of users and organization types does Google Cloud Datalab work with?
Q: What languages does Google Cloud Datalab support in their product?
Q: What kind of support options does Google Cloud Datalab offer?
Q: What other applications or services does Google Cloud Datalab integrate with?
Q: What type of training does Google Cloud Datalab provide?
Q: Does Google Cloud Datalab offer a free trial?

Google Cloud Datalab Product Features

Data Analysis

Data Visualization
Text Analytics
Regression Analysis
Data Discovery
Sentiment Analysis
High Volume Processing
Statistical Modeling
Predictive Analytics

Data Visualization

Simulation Models
Dashboard Creation
Visual Discovery
Relational Display
Analytics
OLAP
Filtered Views
Content Management

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Templates
Visualization
Statistical / Mathematical Tools