iac-automation
Terraform, Pulumi, CloudFormation, and infrastructure as code for data platforms
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Terraform, Pulumi, CloudFormation, and infrastructure as code for data platforms
Prometheus, Grafana, logging, alerting, and data pipeline observability
Portfolio building, technical interviews, job search strategies, and continuous learning
pytest, data validation, Great Expectations, and quality assurance for data systems
Supervised & unsupervised learning, scikit-learn, XGBoost, model evaluation, feature engineering for production ML
SQL query optimization, schema design, indexing strategies, and relational database mastery for production data systems
MongoDB, Redis, Cassandra, DynamoDB, and distributed database patterns for scalable applications
MLflow, model versioning, experiment tracking, model registry, and production ML systems
Apache Airflow, dbt, Prefect, Dagster, and modern data orchestration for production data pipelines
GitHub Actions, GitLab CI, Jenkins, and automated deployment pipelines
Apache Spark, Hadoop, distributed computing, and large-scale data processing for petabyte-scale workloads
AWS, GCP, Azure data platforms, infrastructure as code, and cloud-native data solutions
Git workflows, branching strategies, collaboration, and code management
Write Arcade expressions for dynamic calculations in popups, renderers, labels, and field calculations. Use for data-driven styling, custom labels, and computed fields.
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...
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.
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.
Configure SceneView environment settings including shadows, lighting, backgrounds, underground navigation, and elevation modes. Use for realistic 3D visualizations.
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.
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.
Create advanced cartographic symbols using CIM (Cartographic Information Model). Use for complex multi-layer symbols, animated markers, custom line patterns, and data-driven symbology.
Create custom layer types with WebGL rendering, custom tile layers, and blend layers. Use for advanced visualizations and custom data sources.
Build map user interfaces with ArcGIS widgets, Map Components, and Calcite Design System. Use for adding legends, layer lists, search, tables, time sliders, and custom UI layouts.
Scaffold a minimal ArcGIS Maps SDK application with TypeScript, Vite, and Calcite Design System. Use when creating new projects from scratch.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.