gcp-bq-data-loading
OfficialStreamline BigQuery data loading from diverse sources
AuthorFunnelEnvy
Version1.0.0
Installs0
System Documentation
What problem does it solve?
BigQuery data loading can be error-prone and time-consuming when dealing with multiple formats (CSV, JSON, Avro, Parquet) and sources (Cloud Storage, local files). This skill streamlines the end-to-end process, including schema detection and incremental loading, while handling common parsing errors.
Core Features & Use Cases
- Multi-format loading: Load data from CSV, JSON, Avro, and Parquet into BigQuery.
- Schema handling: Supports autodetect as well as explicit schemas; incremental loading with replacements or append.
- Operational scenarios: Automate nightly data loads, ETL pipelines, or ad-hoc data migrations from Cloud Storage or local paths.
Quick Start
Use the gcp-bq-data-loading skill to import a sample CSV into BigQuery: bq load --source_format=CSV --autodetect my-project:my_dataset.my_table gs://bucket/path/data.csv
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: gcp-bq-data-loading Download link: https://github.com/FunnelEnvy/agents_webinar_demos/archive/main.zip#gcp-bq-data-loading Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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