bigdata-analysis-skill
Reduce silent data errors in Hive, Impala, and Spark ETL with a practical rule set.
- Stars
- 0
- Forks
- 0
- Updated
- Updated Apr 8, 2026
Reduce silent data errors in Hive, Impala, and Spark ETL with a practical rule set.
This skill gives data engineers ten practical rules for writing or reviewing Hive, Impala, and Spark ETL with an AI coding assistant. It targets failures that may not raise errors, such as shifted columns, lost rows, unsafe joins, runaway aggregation, and stale metadata, and separates analysis behavior from coding behavior.
Resource types
Use cases
Platforms
Public GitHub facts last synced Jul 10, 2026.
Diagnose and repair Claude Desktop third-party model configuration gaps
Turn an existing website into a deployable conversational agentfront.
Turn a repository's structure into an editable, interactive architecture map.
Install coding guidance distilled from s4.codes videos as a Claude skill.