BigQuery Launches Table Explorer for Visual Data Exploration and Query Creation

July 25, 2024 at 5:11:16 PM

TL;DR BigQuery introduces Table Explorer, a new feature in preview to simplify data exploration and query creation. It offers visual data exploration, query generation based on user-selected fields, and the ability to examine up to 10 table fields at a time. Interactive cards display selected fields, and dynamic querying allows users to apply or copy generated queries. Limitations include single-table scope, no AI assistance, and required read access for selected fields.

BigQuery Launches Table Explorer for Visual Data Exploration and Query Creation

BigQuery has introduced Table Explorer, a new feature currently in preview, designed to simplify data exploration and query creation.

Key Features of Table Explorer

  • Visual Data Exploration: Automates the visual exploration of table data.
  • Query Generation: Generates queries based on user-selected fields.
  • Field Selection: Allows examination of up to 10 table fields simultaneously.

How It Works

  • Interactive Cards: Displays selected fields as cards showing up to 10 most common values.
  • Dynamic Querying: Creates data exploration queries based on user interactions with the cards.
  • Query Application: Users can apply generated queries directly in Table Explorer or copy them to the query editor.

Limitations

  • Table Scope: Only supports single-table exploration.
  • Query Generation: Generates SQL queries based on user selections without AI assistance.
  • Access Control: Requires read access for all selected fields in tables with column-level ACLs.

Pricing Considerations

Table Explorer incurs compute pricing charges for query execution. Before running a query, it displays the amount of data to be processed, allowing users to manage costs effectively. The feature is available for BigQuery tables, BigLake tables, external tables, and views.

Availability

Table Explorer is available for:

  • BigQuery tables
  • BigLake tables
  • External tables
  • Views

This feature aims to make data exploration more intuitive and accessible, streamlining the process of understanding and querying large datasets.

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