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1 | 1 | # Gemini CLI Extension - BigQuery Data Analytics |
2 | 2 |
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3 | 3 | > [!NOTE] |
4 | | -> This extension is currently in beta, and may see breaking changes until the first stable release (v1.0). |
| 4 | +> This extension is currently in beta (pre-v1.0), and may see breaking changes until the first stable release (v1.0). |
5 | 5 |
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6 | 6 | Developers can effortlessly connect, interact, and generate data insights with [BigQuery](https://cloud.google.com/bigquery/docs) datasets and data using natural language commands. |
7 | 7 |
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8 | 8 | Learn more about [Gemini CLI Extensions](https://github.com/google-gemini/gemini-cli/blob/main/docs/extension.md). |
9 | 9 |
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10 | 10 | ## Why Use the BigQuery Data Analytics Extension? |
11 | 11 |
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12 | | -* **Natural Language to data analytics :** Find required BigQuery tables and ask analytical questions in natural language. |
13 | | -* **Seamless Workflow:** Stay in your CLI. No need to constantly switch contexts to the GCP console for generating analytical insights. |
| 12 | +* **Natural Language to data analytics :** Find required BigQuery tables and ask analytical questions in natural language. |
| 13 | +* **Seamless Workflow:** Stay in your CLI. No need to constantly switch contexts to the GCP console for generating analytical insights. |
14 | 14 | * **Run advanced analytics :** Generate forecasts, run a contributions analysis using built-in advanced tools. |
15 | 15 |
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16 | 16 | ## Prerequisites |
@@ -47,12 +47,12 @@ Interact with BigQuery using natural language right from your IDE: |
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48 | 48 | * **Find Data:** |
49 | 49 |
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50 | | - * "Find tables related to PyPi downloads" |
| 50 | + * "Find tables related to PyPi downloads" |
51 | 51 | * "Find tables related to Google analytics data in the dataset bigquery-public-data" |
52 | | - |
| 52 | + |
53 | 53 | * **Generate Analytics and insights:** |
54 | 54 |
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55 | | - * "Using bigquery-public-data.pypi.file\_downloads show me the top 10 downloaded pypi packages this month." |
| 55 | + * "Using bigquery-public-data.pypi.file\_downloads show me the top 10 downloaded pypi packages this month." |
56 | 56 | * “Using bigquery-public-data.pypi.file\_downloads can you forecast downloads for the last four months of 2025 for package urllib3?” |
57 | 57 |
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58 | 58 | ## Supported Tools |
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