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tools data engineering AI 技能

发现 tools data engineering 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: tools data engineering

显示第 577–600 个,共 1,853 个

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GitHub

stream-processing

melodic-software

Use when designing real-time data processing systems, choosing stream processing frameworks, or implementing event-driven architectures. Covers Kafka, Flink, and streaming patterns.

GitHub

etl-elt-patterns

melodic-software

Use when designing data pipelines, choosing between ETL and ELT approaches, or implementing data transformation patterns. Covers modern data pipeline architecture.

GitHub

data-engineer

404kidwiz

Use when user needs scalable data pipeline development, ETL/ELT implementation, or data infrastructure design.

GitHub

database-optimizer

404kidwiz

Use when user needs database query optimization, performance tuning, index strategies, execution plan analysis, or scalability across PostgreSQL, MySQL, MongoDB, Redis, and other database systems.

GitHub

csv-data-wrangler

404kidwiz

Expert in high-performance CSV processing, parsing, and data cleaning using Python, DuckDB, and command-line tools. Use when working with CSV files, cleaning data, transforming datasets, or processing large tab...

GitHub

sql-pro

404kidwiz

Use when user needs SQL development, database design, query optimization, performance tuning, or database administration across PostgreSQL, MySQL, SQL Server, and Oracle platforms.

GitHub

kafka-engineer

404kidwiz

Expert in Apache Kafka, Event Streaming, and Real-time Data Pipelines. Specializes in Kafka Connect, KSQL, and Schema Registry.

GitHub

data-analyst

404kidwiz

Expert in business intelligence, SQL, data visualization, and translating data into actionable business insights.

GitHub

agentic-jumpstart-database

webdevcody

Database patterns with Drizzle ORM and PostgreSQL including schema design, queries, migrations, transactions, and relationships. Use when working with database schemas, queries, migrations, indexes, joins, or w...

GitHub

fastapi-backend

mjunaidca

Build production-grade FastAPI backends with SQLModel, Pydantic, and JWT authentication. Use this skill when building REST APIs, integrating with Neon PostgreSQL, implementing Better Auth JWT verification, or c...

GitHub

csv-wrangler

majesticlabs-dev

Handle messy CSVs with encoding detection, delimiter inference, and malformed row recovery.

GitHub

parquet-coder

majesticlabs-dev

Columnar file patterns including partitioning, predicate pushdown, and schema evolution.

GitHub

pydantic-validation

majesticlabs-dev

Record-level data validation using Pydantic models. Field validators, model validators, and batch validation patterns.

GitHub

etl-patterns

majesticlabs-dev

Production ETL patterns orchestrator. Routes to core reliability patterns and incremental load strategies.

GitHub

pandera-validation

majesticlabs-dev

DataFrame schema validation using pandera. Schema definitions, column checks, and decorator-based validation.

GitHub

dbt-coder

majesticlabs-dev

dbt (data build tool) patterns for model organization, incremental strategies, and testing.

GitHub

data-validation

majesticlabs-dev

Data validation patterns and pipeline helpers. Custom validation functions, schema evolution, and test assertions.

GitHub

data-profiler

majesticlabs-dev

Generate comprehensive data profiles for DataFrames. Use for EDA, data discovery, and understanding dataset characteristics.

GitHub

pandas-coder

majesticlabs-dev

DataFrame manipulation with chunked processing, memory optimization, and vectorized operations.

GitHub

litestream-coder

majesticlabs-dev

This skill guides configuring Litestream for continuous SQLite backup in Rails 8+ apps. Use when setting up production backups for SQLite databases (Solid Queue, Solid Cache, Solid Cable).

GitHub

great-expectations

majesticlabs-dev

Data validation using Great Expectations. Expectation suites, checkpoints, and data docs for pipeline monitoring.

GitHub

etl-core-patterns

majesticlabs-dev

Core ETL reliability patterns including idempotency, checkpointing, error handling, chunking, retry logic, and logging.

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。

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