Cloud Dataproc is a very powerful exploration tool. Using Cloud Dataproc, we can explore, analyze, transform, and visualize data. Using this data, we can build our own Machine Learning models.
When to use:
Cloud Datalab being built on Jupyter and having great integration with BigQuery, Cloud Machine Learning Engine, Google Compute Engine, and Google Cloud Storage you can use Python. Along with Python you can also use SQL and JavaScript.
Special features:
- Supports Python, SQL, and JavaScript
- Supports Tensorflow-based deep Machine Learning
- Based on Jupyter, thus familiar for many
- Notebook format
Costing:
Data lab is free. You may incur compute, storage, and other cloud services costs based on usage.
