Competencies: CLI & Terminal > Data Processing Tools

Data Processing Tools

Body of Knowledge

Topic Description Relevance Career Tracks

jq Fundamentals

JSON querying, dot notation, array indexing, select filters, pipes within jq, identity operator.

Critical

DevOps, API Developer, Data Engineer

jq Advanced

Map/reduce, conditionals, string interpolation, custom functions, recursive descent, @base64/@uri.

High

DevOps, API Developer, Data Engineer

jq Streaming

Large file processing (--stream), streaming patterns, memory-efficient JSON processing.

Medium

Data Engineer, SRE

yq

YAML/XML/TOML processing, jq-like syntax for YAML, Kubernetes manifest manipulation, format conversion.

High

DevOps, Platform Engineer, SRE

Miller (mlr)

CSV/TSV/JSON processing, SQL-like operations, format conversion, statistical operations, streaming.

Medium

Data Engineer, Analytics

csvkit

CSV toolkit, csvstat, csvcut, csvsql, csvjoin, data inspection and transformation for tabular data.

Medium

Data Engineer, Analytics

datamash

GNU tool for statistical operations, grouping, transpose, crosstabs, summary statistics on tabular data.

Low

Data Engineer, Analytics

xsv

Fast CSV toolkit in Rust, indexing, searching, joining, statistics, slicing, format conversion.

Medium

Data Engineer, SRE

fx

Interactive JSON viewer, keyboard navigation, jq integration, color output, large file support.

Low

Developer, DevOps

gron

Make JSON greppable, flatten JSON to path=value, unflatten back to JSON, pipeline-friendly.

Low

DevOps, Developer

Personal Status

Topic Level Evidence Active Projects Gaps

jq

Advanced

JSON transformation for API responses — select, map, reduce, string interpolation, conditional logic, custom functions; used extensively with domus-api and ISE ERS API

jq Reference, CLI Mastery Path

No jq streaming (--stream) for large files, no jqplay-style debugging