技能档案

Delta Lake / Apache Iceberg

ACID transactions, time travel, schema evolution, table formats for data lakes

Data Engineering Data Lakehouse

角色数

1

包含此技能的角色

级别数

5

结构化成长路径

必要要求

5

其余 0 个可选

领域

Data Engineering

skills.group

Data Lakehouse

最后更新

2026/3/17

如何使用

选择当前级别并对比期望。下方卡片显示晋升所需掌握的内容。

各级别期望

表格展示从初级到首席的技能深度变化。点击行查看详情。

角色 必要性 描述
Data Engineer 必要 Understands the fundamentals of Delta Lake / Apache Iceberg. Applies basic practices in daily work. Follows recommendations from the team and documentation.
角色 必要性 描述
Data Engineer 必要 Independently implements data pipelines with Delta Lake/Apache Iceberg. Optimizes performance. Ensures data quality.
角色 必要性 描述
Data Engineer 必要 Designs data architecture with Delta Lake/Apache Iceberg. Optimizes for big data. Implements data governance and quality frameworks.
角色 必要性 描述
Data Engineer 必要 Defines Delta Lake/Iceberg standards: table format selection, partitioning strategy, compaction schedules. Implements time-travel for data debugging and schema enforcement.
角色 必要性 描述
Data Engineer 必要 Designs open table format strategy: Delta Lake vs Iceberg vs Hudi, catalog integration (Unity/Nessie), cross-engine interop. Defines migration path from Hive tables.

社区

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📋 提案
暂无提案 Delta Lake / Apache Iceberg
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