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data-engineering
Data pipeline architecture, ETL/ELT patterns, data modeling, and production data platform design
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研究与调研 AI 技能
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data-warehousing
Snowflake, BigQuery, Redshift, dimensional modeling, and modern data warehouse architecture
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iac-automation
Terraform, Pulumi, CloudFormation, and infrastructure as code for data platforms
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GitHub
python-programming
Master Python fundamentals, OOP, data structures, async programming, and production-grade scripting for data engineering
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GitHub
monitoring-observability
Prometheus, Grafana, logging, alerting, and data pipeline observability
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GitHub
career-growth
Portfolio building, technical interviews, job search strategies, and continuous learning
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testing-quality
pytest, data validation, Great Expectations, and quality assurance for data systems
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machine-learning
Supervised & unsupervised learning, scikit-learn, XGBoost, model evaluation, feature engineering for production ML
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sql-databases
SQL query optimization, schema design, indexing strategies, and relational database mastery for production data systems
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nosql-databases
MongoDB, Redis, Cassandra, DynamoDB, and distributed database patterns for scalable applications
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GitHub
mlops
MLflow, model versioning, experiment tracking, model registry, and production ML systems
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etl-tools
Apache Airflow, dbt, Prefect, Dagster, and modern data orchestration for production data pipelines
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GitHub
cicd-pipelines
GitHub Actions, GitLab CI, Jenkins, and automated deployment pipelines
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big-data
Apache Spark, Hadoop, distributed computing, and large-scale data processing for petabyte-scale workloads
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cloud-platforms
AWS, GCP, Azure data platforms, infrastructure as code, and cloud-native data solutions
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git-version-control
Git workflows, branching strategies, collaboration, and code management
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deep-learning
PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production
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GitHub
arcgis-arcade
Write Arcade expressions for dynamic calculations in popups, renderers, labels, and field calculations. Use for data-driven styling, custom labels, and computed fields.
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GitHub
arcgis-interaction
Handle user interaction with map features including popups, editing, sketching, and event handling. Use for creating interactive map applications with feature selection, editing workflows, and custom interactio...
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GitHub
arcgis-time-animation
Work with temporal data using TimeSlider, TimeExtent, and time-aware layers. Use for animating data over time, filtering by date ranges, and visualizing temporal patterns.
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GitHub
arcgis-layers
Add and manage data layers in ArcGIS maps. Use for FeatureLayer, TileLayer, SceneLayer, GeoJSONLayer, and all other layer types. Covers layer configuration, queries, and management.
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GitHub
arcgis-scene-effects
Configure SceneView environment settings including shadows, lighting, backgrounds, underground navigation, and elevation modes. Use for realistic 3D visualizations.
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GitHub
arcgis-visualization
Style and render geographic data with renderers, symbols, and visual variables. Use for creating thematic maps, heatmaps, class breaks, unique values, labels, and 3D visualization.
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GitHub
arcgis-core-maps
Create 2D and 3D maps using ArcGIS Maps SDK for JavaScript. Use for initializing maps, scenes, views, and navigation. Supports both Map Components (web components) and Core API approaches.
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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。