Google Connects Kaggle Data Science Community Directly to BigQuery

Google launches a new integration that allows data scientists to query BigQuery directly from Kaggle Kernels without moving data. This connection streamlines machine learning workflows and leverages the collaborative power of the Kaggle community.

24 Jun 2019

Google introduces a direct integration between its cloud data warehouse BigQuery and the data science platform Kaggle. This connection allows users to build machine learning models inside Kaggle Kernels and query BigQuery data seamlessly using SQL through the BigQuery API client library.

This streamlined approach eliminates the need to download or move large datasets before performing analysis. Data scientists stay in their familiar Jupyter notebook environment, which reduces friction and saves significant time when building and testing machine learning models.

The integration also highlights the collaborative nature of the Kaggle platform, which boasts 3 million users and 200,000 public Kernels. Users choose to share their own work or explore existing notebooks as starting points, fostering open discussion and experimentation among data scientists worldwide.

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