tool.data_engineering.55c8f35d7b3cac72
De la autor
Data engineering practice patterns for data pipelines, ETL/ELT, orchestration, data quality, and infrastructure. Covers Airflow, Dagster, Prefect, Spark, dbt, data lakes, lakehouses, Iceberg, Delta Lake, warehouses (Snowflake, BigQuery, Databricks), streaming (Kafka, Kinesis, Flink), CDC, data contracts, data governance, data mesh, and batch processing. Use when reviewing or building data pipelines, ingestion systems, stream processing, data infrastructure, or data platform architecture. Do not use for SQL modeling or dbt projects (use analytics-engineering), business dashboards (use analytics), or ML model training (use data-science).
Instalare
npx skills add AI45Lab/OpenART --skill tool.data_engineering.55c8f35d7b3cac72 -a claude-code
Se instalează în .claude/skills/tool.data_engineering.55c8f35d7b3cac72/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
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