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@@ -9,9 +9,9 @@ Learn more about [Gemini CLI Extensions](https://github.com/google-gemini/gemini
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## Why Use the BigQuery Data Analytics Extension?
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* **Natural Language Management:** Stop wrestling with complex commands. Explore schemas and query data by describing what you want in plain English.
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* **Seamless Workflow:** Stay in your CLI. No need to constantly switch contexts to the GCP console for common database tasks.
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* **Code Generation:** Accelerate development by asking Gemini to generate data classes and other code snippets based on your table schemas.
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* **Natural Language to data analytics :** Find required BigQuery tables and ask analytical questions in natural language.
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* **Seamless Workflow:** Stay in your CLI. No need to constantly switch contexts to the GCP console for generating analytical insights.
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* **Run advanced analytics :** Generate forecasts, run a contributions analysis using built-in advanced tools.
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## Prerequisites
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* IAM Permissions:
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* BigQuery User (`roles/bigquery.user`) (for executing queries and view
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metadata)
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* BigQuery Metadata Viewer (`roles/bigquery.metadataViewer`) (for viewing all datasets)
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* BigQuery Data Editor (`roles/bigquery.dataEditor`) (for creating or modify datasets and tables)
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## Installation
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Interact with BigQuery using natural language right from your IDE:
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* **Explore Schemas and Data:**
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* "Show me all tables in the 'orders' dataset."
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* "What is the schema for the 'products' table?"
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* "How many orders were placed in the last 30 days, and what were the top 5 most purchased items?"
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* **Find Data:**
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* **Generate Code:**
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* "Generate a Python dataclass to represent the 'customers' table."
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* "Find tables related to PyPi downloads"
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* "Find tables related to Google analytics data in the dataset bigquery-public-data"
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* **Generate Analytics and insights:**
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* "Using bigquery-public-data.pypi.file\_downloads show me the top 10 downloaded pypi packages this month."
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* “Using bigquery-public-data.pypi.file\_downloads can you forecast downloads for the last four months of 2025 for package urllib3?”
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## Supported Tools
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* `list_dataset_ids`: Lists dataset ids in the database.
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* `list_table_ids`: Lists table ids in the database.
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* `analyze_contribution`: Perform contribution analysis, also called key driver analysis.
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* `search_catalog`: Search for entries based on the provided query.
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* `search_catalog`: Search for tables based on the provided query.
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## Additional Extensions
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