Powerful Data Exploration
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 onGoogle Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.
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 Cloud Machine Learning Engine seamlessly.
Use Cloud Datalab to gain insight from your data. Interactively explore, transform, analyze, and visualize your data using BigQuery, Cloud Storage and Python.
Go from data to deployed machine-learning (ML) models ready for prediction. Explore data, build, evaluate and optimize Machine Learning models using TensorFlow or Cloud Machine Learning Engine.
CLOUD DATALAB FEATURES
Cloud Datalab simplifies data processing with Cloud BigQuery, Cloud Machine Learning Engine, Cloud Storage, and Stackdriver Monitoring. Authentication, cloud computation and source control are taken care of out-of-the-box.
Cloud Datalab combines code, documentation, results, and visualizations together in an intuitive notebook format.
Only pay for the cloud resources you use: Google Compute Engine VMs, BigQuery, and any additional resources you decide to use, such as Cloud Storage.
Use Google Charting or matplotlib for easy visualizations.
Supports TensorFlow-based deep ML models in addition to scikit-learn. Scales training and prediction via specialized libraries for Cloud Machine Learning Engine.
Datalab is based on Jupyter (formerly IPython) so you can use a large number of existing packages for statistics, machine learning etc. Learn from published notebooks and swap tips with a vibrant IPython community.
Developers wishing to extend Datalab can fork and or submit pull requests on the GitHub hosted project.