Bigquery Basics
원문: bigquery-basics
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.
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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: 2. Create a Dataset: 3. Create a Table: Create a file named schema.json with your table schema: Then create the table with the bq tool: 4. Run a Query: Reference Directory [Core Concepts](references/core concepts.md): Storage types, analytics workflows, and BigQuery Studio features. [CLI Usage](references/cl…
실행 시 본인 API 키(BYOK)로 동작하며, 모델 비용은 사용자 계정에서 직접 결제됩니다.