General skillSoftware development

bigdata-analysis-skill

Reduce silent data errors in Hive, Impala, and Spark ETL with a practical rule set.

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Updated
Updated Apr 8, 2026

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Project overview

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.

Repository facts

Primary language
Not detected
License
Not publicly identified
Repository updated
Apr 8, 2026
Default branch
main

Resource types

General skill

Use cases

Software developmentData and analytics

Platforms

Claude Code, Codex, and more

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