AWS Glue ETL
AWS Glue extracts data from sources (databases, S3, APIs), transforms it (schema mapping, normalization, enrichment), and loads it to targets (S3, Redshift, RDS). Glue Crawlers auto-discover schemas, Glue Jobs run ETL scripts (Python, Scala), and Glue Catalog manages metadata. Mastery means designing efficient pipelines, handling schema evolution, error recovery, and cost optimization. Learning path: ETL concepts (1 week) → Glue basics (2 weeks) → Crawlers + schema (1 week) → Jobs + transformations (2 weeks) → production patterns (1 week).
什么是 AWS Glue ETL
AWS Glue is a serverless ETL (Extract, Transform, Load) service. Glue Crawlers automatically discover data schemas from S3, databases, and APIs. Glue Jobs transform and move data using Spark scripts (Python or Scala). The Glue Data Catalog stores metadata, accessible to Athena, Redshift, and Lambda. Use for: data warehouse ingestion, data lake pipelines, data cleaning, format conversion (CSV to Parquet), schema normalization.
💰 各地区薪资
| 地区 | 初级 | 中级 | 高级 |
|---|---|---|---|
| USA | $80k | $130k | $180k |
| UK | £48k | £80k | £120k |
| EU | €52k | €85k | €130k |
| CANADA | C$85k | C$135k | C$185k |
🎓 认证
❓ 常见问题
What's the difference between Glue and Athena?
Should I use Glue or Spark directly?
What are Glue Crawlers?
How do I handle schema evolution?
What's Glue Data Catalog?
How much does Glue cost?
Is Glue suitable for production?
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