GitHub
async-patterns
Master asynchronous programming in Node.js with Promises, async/await, streams, and event-driven patterns for efficient non-blocking operations
Skills IA Bases de données
Découvrez les skills Bases de données, comparez leurs dépôts et consultez leurs instructions.
Catégories: Bases de données
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GitHub
graphql
Build GraphQL APIs with Node.js using Apollo Server, type definitions, resolvers, and real-time subscriptions
GitHub
mongoose-mongodb
Work with MongoDB in Node.js using Mongoose ODM for schema design, CRUD operations, relationships, and advanced queries
GitHub
express-rest-api
Build production-ready RESTful APIs with Express.js including routing, middleware, validation, and error handling for scalable backend services
GitHub
performance-optimization
Optimize Node.js application performance with caching, clustering, profiling, and monitoring techniques
GitHub
mongodb-find-queries
Master MongoDB find queries with filters, projections, sorting, and pagination. Learn query operators, comparison, logical operators, and real-world query patterns. Use when retrieving data from MongoDB collect...
GitHub
mongodb-transactions
Master MongoDB ACID transactions for multi-document operations. Learn session management, transaction mechanics, error handling, and production patterns. Guarantee data consistency across multiple operations.
GitHub
mongodb-index-creation
Master MongoDB index creation and types. Learn single-field, compound, unique, text, geospatial, and TTL indexes. Optimize query performance dramatically with proper indexing.
GitHub
mongodb-crud-operations
Master MongoDB CRUD operations, document insertion, querying, updating, and deletion. Learn BSON format, ObjectId, data types, and basic operations. Use when working with documents, collections, and fundamental...
GitHub
mongodb-aggregation-pipeline
Master MongoDB aggregation pipeline for complex data transformations. Learn pipeline stages, grouping, filtering, and data transformation. Use when analyzing data, creating reports, or transforming documents.
GitHub
mongodb-atlas-setup
Master MongoDB Atlas cloud setup, cluster configuration, security, networking, backups, and monitoring. Get production-ready cloud database in minutes. Use when setting up cloud MongoDB, configuring clusters, o...
GitHub
mongodb-app-development
Master MongoDB integration in applications with Node.js, Python, and Java drivers. Learn connections, transactions, error handling, and best practices. Use when building applications with MongoDB.
GitHub
mongodb-schema-design
Master MongoDB schema design and data modeling patterns. Learn embedding vs referencing, relationships, normalization, and schema evolution. Use when designing databases, normalizing data, or optimizing queries...
GitHub
mongodb-replication-sharding
Master MongoDB replication, replica sets, and sharding for distributed deployments. Learn failover, shard keys, and cluster management. Use when setting up high availability or scaling horizontally.
GitHub
mongodb-authentication
Master MongoDB authentication methods including SCRAM, X.509 certificates, LDAP, and Kerberos. Learn user creation, role assignment, and securing MongoDB deployments.
GitHub
mongodb-indexing-optimization
Master MongoDB indexing and query optimization. Learn index types, explain plans, performance tuning, and query analysis. Use when optimizing slow queries, analyzing performance, or designing indexes.
GitHub
mongodb-security-admin
Master MongoDB security, authentication, authorization, encryption, and backup. Learn role-based access control, TLS/SSL, encryption, and disaster recovery. Use when securing deployments, managing users, or imp...
GitHub
ml-monitoring
Production-grade ML model monitoring, drift detection, and observability
GitHub
feature-stores
Master feature stores - Feast, data validation, versioning, online/offline serving
GitHub
model-serving
Master model serving - inference optimization, scaling, deployment, edge serving
GitHub
experiment-tracking
Master ML experiment tracking - MLflow, W&B, Neptune, versioning, reproducibility
GitHub
training-pipelines
Master training pipelines - orchestration, distributed training, hyperparameter tuning
GitHub
mlops-basics
Master MLOps fundamentals - lifecycle, principles, tools, practices, and organizational adoption
GitHub
ml-infrastructure
Production-grade ML infrastructure with Kubernetes, auto-scaling, and cost optimization
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.