DATA SCIENCE
ENVIRONMENT
LIBRARIES
BI TOOLS
VERSION CONTROL
DATA SCIENCE ON GOOGLE
Store
- Object storage of any sizes.
- Store any amount of data.
- Unlimited storage.
- Worldwide accessibility.
- Worldwide storage locations.
- Low latency.
- High durability.
Store
Serverless, highly scalable and cost effective multi cloud data warehouse designed for business agility.
Prepare
Intelligent cloud data service for visually exploring,
cleaning, and preparing structured and unstructured data for analysis, reporting, and machine learning.
Because cloud dataprep is serverless and works at any scale, there is no infrastructure to deploy or manage.
Ideal data transformation is suggested and predicted with each UI input, so you don’t have to write code.
Process
Unified stream and batch data processing that's serverless and fast.
Explore
Easily acess, explore, visualize, analyze,
monitor and transform data using python and SQL interactively. Use Jupyter Notebooks with Python, TensorFlow
Machine Learning and Google Analytics, Google BigQuery and Google Charts APIs.
Gallery
Google chart tools are powerful, simple to use, and free.
Rich gallery of interactive charts and data tools.
Code
Colaboratory or Colab allows you to write and execute Python in your browser
- Zero configuration required
- Free access to GPUs
- Easy sharing
Whether you're a student, a Data Scientist or an AI researcher, Colab can make your work easier.
The Jupyter Notebook
The Jupyter Notebook is an open source web application that allows you to create and share documents that contain live code, data visualizations, narrative text, data cleaning, data transformation, numerical simulations, statistical modeling and ,machine learning and much more.
Train Machine
Fully managed, end to end platform for Data Science and Machine Learning. New AI platform (unified) brings together AI platform, AutoML, and MLOps in one complete, cohesive platform.
Library
An end to end open source Machine Learning platform. The core library to develop and train ML models.