bigquery-basics
/bigquery-basics
Zarządza zbiorami danych, tabelami i zadaniami w BigQuery oraz integruje się z BigQuery ML i Gemini do analiz opartych na AI, zapytań SQL i ładowania danych.
- Autor
- davila7 ↗
- Repozytorium
- claude-code-templates ↗
- Licencja
- MIT
- Ostatnia zmiana repozytorium
- 25.10.2026
Ocena i bezpieczeństwo
- Pliki w paczce
- 7
- Skrypty
- 0
- Komentarze HTML
- 0
- Adresy URL w SKILL.md
- 13
Brak sygnałów. Repozytorium zmienione 25.10.2026, bez odwołań do wycofanych modeli i API.
MIT, otwarta: można używać i zmieniać, z zachowaniem informacji o autorze.
Co robi i kiedy
Zarządza zbiorami danych, tabelami i zadaniami w BigQuery oraz integruje się z BigQuery ML i Gemini do analiz opartych na AI, zapytań SQL i ładowania danych.
Oryginalny opis (EN)
Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights. Use for SQL queries, resource management, data ingestion, or AI applications on BigQuery.
Jak działa
- Setup and Basic Usage
- Reference Directory
- Related Skills
Podgląd SKILL.md
---
name: bigquery-basics
description: Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights. Use for SQL queries, resource management, data ingestion, or AI applications on BigQuery.
metadata:
source: google/skills (Apache 2.0)
---
# BigQuery Basics
BigQuery is a serverless, AI-ready data platform that enables high-speed
analysis of large datasets using SQL and Python. Its disaggregated architecture
separates compute and storage, allowing them to scale independently while
providing built-in machine learning, geospatial analysis, and business
intelligence capabilities.
## Setup and Basic Usage
1. **Enable the BigQuery API:**
```bash
gcloud services enable bigquery.googleapis.com --quiet
```
2. **Create a Dataset:**
```bash
bq mk --dataset --location=US my_dataset
```
3. **Create a Table:**
Create a file named `schema.json` with your table schema:
```json
[
{
"name": "name",
"type": "STRING",
"mode": "REQUIRED"
},
{
"name": "post_abbr",
"type": "STRING",
"mode": "NULLABLE"
}
]
```
Then create the table with the `bq` tool:
```bash
bq mk --table my_dataset.mytable schema.json
```
4. **Run a Query:**
```bash
bq query --use_legacy_sql=false \
'SELECT name FROM `bigquery-public-data.usa_names.usa_1910_2013` \
WHERE state = "TX" LIMIT 10'
```
## Reference Directory
- [Core Concepts](references/core-concepts.md): Storage types, analytics
workflows, and BigQuery Studio features.
- [CLI Usage](references/cli-usage.md): Essential `bq` command-line tool
operations for managing data and jobs.
- [Client Libraries](references/client-library-usage.md): Using Google Cloud
client libraries for Python, Java, Node.js, and Go.
- [MCP Usage](references/mcp-usage.md): Using the BigQuery remote MCP server and
Gemini CLI extension.
- [Infrastructure as Code](references/iac-usage.md): Terraform examples for
datasets, tables, and reservations.
- [IAM & Security](references/iam-security.md): Roles, permissions, and data
governance best practices.
*If you need product information not found in these references, use the
Developer Knowledge MCP server `search_documents` tool.*
## Related Skills
- [BigQuery AI & ML Skill](https://github.com/google/adk-python/tree/main/src/google/adk/tools/bigquery/skills/bigquery-ai-ml):
SKILL.md file for BigQuery AI and ML capabilities.
- [BigQuery AI & ML References](https://github.com/google/adk-python/tree/main/src/google/adk/tools/bigquery/skills/bigquery-ai-ml/references):
Reference files published for the BigQuery AI and ML skill.
- [bigquery_ai_classify.md](https://github.com/google/adk-python/blob/main/src/google/adk/tools/bigquery/skills/bigquery-ai-ml/references/bigquery_ai_classify.md)
- [bigquery_ai_detect_anomalies.md](https://github.com/google/adk-python/blob/main/src/google/adk/tools/bigquery/skills/bigquery-ai-ml/references/bigquery_ai_detect_anomalies.md)
- [bigquery_ai_forecast.md](https://github.com/google/adk-python/blob/main/src/google/adk/tools/bigquery/skills/bigquery-ai-ml/references/bigquery_ai_forecast.md)
- [bigquery_ai_generate.md](https://github.com/google/adk-python/blob/main/src/google/adk/tools/bigquery/skills/bigquery-ai-ml/references/bigquery_ai_generate.md)
- [bigquery_ai_generate_bool.md](https://github.com/google/adk-python/blob/main/src/google/adk/tools/bigquery/skills/bigquery-ai-ml/references/bigquery_ai_generate_bool.md)
- [bigquery_ai_generate_double.md](https://github.com/google/adk-python/blob/main/src/google/adk/tools/bigquery/skills/bigquery-ai-ml/references/bigquery_ai_generate_double.md)
- [bigquery_ai_generate_int.md](https://github.com/google/adk-python/blob/main/src/google/adk/tools/bigquery/skills/bigquery-ai-ml/references/bigquery_ai_generate_int.md)
- [bigquery_ai_if.md](https://github.com/google/adk-python/blob/main/src/google/adk/tools/bigquery/skills/bigquery-ai-ml/references/bigquery_ai_if.md)
- [bigquery_ai_score.md](https://github.com/google/adk-python/blob/main/src/google/adk/tools/bigquery/skills/bigquery-ai-ml/references/bigquery_ai_score.md)
- [bigquery_ai_search.md](https://github.com/google/adk-python/blob/main/src/google/adk/tools/bigquery/skills/bigquery-ai-ml/references/bigquery_ai_search.md)
- [bigquery_ai_similarity.md](https://github.com/google/adk-python/blob/main/src/google/adk/tools/bigquery/skills/bigquery-ai-ml/references/bigquery_ai_similarity.md)
Pliki w paczce (7)
- SKILL.md 5 KB
- references/cli-usage.md 2 KB
- references/client-library-usage.md 2 KB
- references/core-concepts.md 3 KB
- references/iac-usage.md 2 KB
- references/iam-security.md 2 KB
- references/mcp-usage.md 2 KB
Wersje
| Repozytorium | Wynik | Licencja |
|---|---|---|
| Ta strona · davila7/claude-code-templates | 100 | MIT |
| google/skills | 100 | Apache-2.0 |
| rittmananalytics/wire-plugin | 100 | Apache-2.0 |
| hamzabellouch/agent-skills | 100 | MIT |
Identyczna treść występuje jeszcze w 2 innych folderach na GitHubie. Tu pokazujemy jedną, najlepiej ocenioną kopię.
Migawka bazy z 28.10.2026 · wersja paczki 58f4ce0ad697 (skrót SHA-256 całej paczki)
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