Explore the architectural concepts that power BigQuery’s support for semi-structured JSON, which eliminates the need for complex preprocessing and provides schema flexibility, intuitive querying and the scalability benefits, at large scale.
BigQuery cross-region dataset replication allows you to replicate any dataset across regions, for additional geo-redundancy.
The ability to perform custom text analysis in a variety of ways makes our toolset even more comprehensive and user-friendly.
At Next ‘23, Exabeam, Dun & Bradstreet, Optimizely and LiveRamp shared how they use BigQuery and Google Data and AI Cloud for data monetization.
ZoomInfo and Google Cloud recently expanded their partnership to offer ZoomInfo’s Data Cubes for Google Cloud customers via Google Analytics Hub.
Learn how to use BigQuery analytics hub to set up a functional dataset share across organizations.
Learn how to perform analytics on BigQuery data using BigQuery DataFrames and its bigframes.pandas and bigframes.ml APIs.
Now, you can write Google Ads data to BigQuery using Dataflow, enabling you to make data-driven decisions on campaign strategies in real-time.
easily load all your JSON data and redirect your focus on deriving data insights.
The query execution graph provides performance insights to help you easily understand, troubleshoot and optimize your BigQuery analytics queries.
