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Nosql | Skills Pool

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Nosql

NoSQL databases, document, wide-column, graph, and key-value stores

NeuralBlitz0 Sterne22.03.2026

Beruf: Datenbankarchitekten
Kategorien: SQL-Datenbanken

Skill-Inhalt

What I do

Choose appropriate NoSQL databases for use cases
Design distributed data models
Optimize for specific access patterns
Handle eventual consistency
Design for horizontal scalability

When to use me

When selecting NoSQL databases, designing distributed systems, or working with non-relational data models.

Key Concepts

NoSQL Categories

Document: MongoDB, CouchDB, Cosmos DB
Key-Value: Redis, DynamoDB, etcd
Wide-Column: Cassandra, HBase, Bigtable
Graph: Neo4j, Amazon Neptune, ArangoDB

Data Modeling Patterns

Denormalization
Embedding vs referencing
Composite keys

Verwandte Skills

Schnellinstallation

Nosql

npx skillvault add NeuralBlitz/neuralblitz-mito-opencode-skills-nosql-skill-md

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Autor: NeuralBlitz
Sterne: 0
Aktualisiert: 22.03.2026
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Time-series modeling

Event sourcing patterns

Consistency Models

Eventual consistency
Strong consistency
Tunable consistency
Read your writes consistency
Causality and vector clocks

Scalability

Horizontal partitioning (sharding)
Consistent hashing
Data balancing
Replication topologies
Multi-region deployments

Query Patterns

Primary key access patterns
Secondary indexes
Full-text search
Aggregation pipelines
Graph traversal

Trade-offs

ACID vs BASE
CAP theorem implications
Query flexibility vs performance
Schema flexibility vs validation

When to Use Each Type

Document: Flexible schemas, catalogs, content management
Key-Value: Caching, session store, high-speed access
Wide-Column: Time-series, IoT, high write throughput
Graph: Social networks, recommendations, fraud detection

02

When to use me

04NoSQL Categories

05Data Modeling Patterns

06Consistency Models

08Query Patterns

10When to Use Each Type

SQL-Datenbanken

Postgres Patterns

PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.

SQL-Datenbanken

Postgres Patterns

PostgreSQL database patterns for query optimization, schema design, indexing, and security. Quick reference for common patterns, index types, data types, and anti-pattern detection. Based on Supabase best practices.

SQL-Datenbanken

Database Migrations

Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Django, TypeORM, golang-migrate). Use when planning or implementing database schema changes.

SQL-Datenbanken

Postgres Patterns

쿼리 최적화, 스키마 설계, 인덱싱, 보안을 위한 PostgreSQL 데이터베이스 패턴. Supabase 모범 사례 기반.

Data Engineering

Postgres Patterns

PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.

SQL-Datenbanken

Jpa Patterns

Spring Boot中的JPA/Hibernate模式，用于实体设计、关系处理、查询优化、事务管理、审计、索引、分页和连接池。

Datenbankarchitekten