@@ -9,9 +9,9 @@ Learn more about [Gemini CLI Extensions](https://github.com/google-gemini/gemini
99
1010## Why Use the BigQuery Data Analytics Extension?
1111
12- * ** Natural Language Management :** Stop wrestling with complex commands. Explore schemas and query data by describing what you want in plain English.
13- * ** Seamless Workflow:** Stay in your CLI. No need to constantly switch contexts to the GCP console for common database tasks.
14- * ** Code Generation :** Accelerate development by asking Gemini to generate data classes and other code snippets based on your table schemas .
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+ * ** Run advanced analytics :** Generate forecasts, run a contributions analysis using built-in advanced tools .
1515
1616## Prerequisites
1717
@@ -22,8 +22,6 @@ Before you begin, ensure you have the following:
2222* IAM Permissions:
2323 * BigQuery User (` roles/bigquery.user ` ) (for executing queries and view
2424 metadata)
25- * BigQuery Metadata Viewer (` roles/bigquery.metadataViewer ` ) (for viewing all datasets)
26- * BigQuery Data Editor (` roles/bigquery.dataEditor ` ) (for creating or modify datasets and tables)
2725
2826## Installation
2927
@@ -47,13 +45,15 @@ Ensure [Application Default Credentials](https://cloud.google.com/docs/authentic
4745
4846Interact with BigQuery using natural language right from your IDE:
4947
50- * ** Explore Schemas and Data:**
51- * "Show me all tables in the 'orders' dataset."
52- * "What is the schema for the 'products' table?"
53- * "How many orders were placed in the last 30 days, and what were the top 5 most purchased items?"
48+ * ** Find Data:**
5449
55- * ** Generate Code:**
56- * "Generate a Python dataclass to represent the 'customers' table."
50+ * "Find tables related to PyPi downloads"
51+ * "Find tables related to Google analytics data in the dataset bigquery-public-data"
52+
53+ * ** Generate Analytics and insights:**
54+
55+ * "Using bigquery-public-data.pypi.file\_ downloads show me the top 10 downloaded pypi packages this month."
56+ * “Using bigquery-public-data.pypi.file\_ downloads can you forecast downloads for the last four months of 2025 for package urllib3?”
5757
5858## Supported Tools
5959
@@ -66,7 +66,7 @@ This extension provides a comprehensive set of tools:
6666* ` list_dataset_ids ` : Lists dataset ids in the database.
6767* ` list_table_ids ` : Lists table ids in the database.
6868* ` analyze_contribution ` : Perform contribution analysis, also called key driver analysis.
69- * ` search_catalog ` : Search for entries based on the provided query.
69+ * ` search_catalog ` : Search for tables based on the provided query.
7070
7171## Additional Extensions
7272
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