Kaggle
by Google
Data science community and dataset hub; its public API lists and downloads datasets, competitions, leaderboards and models.
- Category
- Cloud & Data Platforms
- Type
- Data science platform
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Username and password, API key
- Docs
- Kaggle API docs
02Data
What you can sync.
- Datasets
- Competitions
- Leaderboards
- Models
- Notebooks
Load Kaggle datasets into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Kaggle data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- A username and password
- An API key
Kaggle uses a username and password or an API key. You add the credentials once, when the AI asks for them, and it tells you where to create them in Google if you need help.
04How it works
How it works in DataMind.
-
Pick Kaggle.
Open Lake, pick Kaggle in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Kaggle API docs.
-
Answer a few questions.
The AI reads the Kaggle documentation, then asks which credentials you will use, which data to sync (for example datasets and competitions), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Kaggle data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
