NoSQL‑databases is een begrip binnen de industriële digitalisering en data, analyse & business intelligence.
Definitie
NoSQL-databases zijn dataopslagsystemen die ontworpen zijn voor het beheren van grote volumes ongestructureerde of semi-gestructureerde data, zonder de strikte tabelstructuren van relationele databases. Ze bieden flexibiliteit, schaalbaarheid en performance voor moderne industriële applicaties die werken met diverse datatypes zoals sensor data, documenten en graaf-relaties.
Kenmerken
- Schema flexibility: Geen vaste tabelstructuur, ondersteuning voor changing data models
- Horizontal scaling: Verdeling van data over meerdere servers voor performance
- High availability: Distributed architecture met automatic failover
- Diverse data models: Document, key-value, column-family, graph databases
- High performance: Optimized voor fast reads en writes
- ACID alternatives: BASE (Basically Available, Soft state, Eventual consistency)
- Big data support: Handling van petabyte-scale datasets
- Real-time processing: Low-latency data access voor real-time applications
Toepassing
Document databases (MongoDB, CouchDB):
- Product catalogs: Complex product hierarchies met varying attributes
- Configuration management: Equipment configurations met diverse parameters
- Work orders: Manufacturing orders met flexible field structures
- Quality records: NCR data met varying inspection formats
Time-series databases (InfluxDB, TimescaleDB):
- Sensor data storage: High-frequency temperature, pressure, vibration data
- Machine monitoring: Equipment health trending over time
- Production metrics: Throughput, efficiency, energy consumption histories
- SPC data: Control chart data met timestamps
Key-value stores (Redis, DynamoDB):
- Session management: User session data voor manufacturing applications
- Caching layer: Fast access tot frequently used data
- Configuration data: System settings en parameters storage
- Real-time alerts: Temporary storage van alarm conditions
Graph databases (Neo4j, Amazon Neptune):
- Supply chain networks: Complex supplier-manufacturer-customer relationships
- Product genealogy: Component traceability en assembly relationships
- Equipment connectivity: Network topology van connected manufacturing systems
- Root cause analysis: Relationship mapping voor CAPA investigations
Metaalindustrie use cases:
- IoT data management: Sensor data van connected equipment
- Production logs: Variable-structure log data van diverse machines
- Material tracking: Complex material flow en transformation histories
- Maintenance records: Equipment service histories met varying formats
Manufacturing integration:
- MES data: Flexible production data structures
- ERP extensions: Supplementary data not fitting relational schemas
- BI data lakes: Raw data storage voor analytics processing
- Cloud integration: Scalable data storage voor cloud-based manufacturing systems
Gerelateerde begrippen
Verwante termen:
- Big data - Large-scale data processing often using NoSQL systems
- Tijdreeksdatabase - Specialized NoSQL type voor time-series data
- Data warehouse - Traditional structured data storage alternative
- Data lake - Architectural pattern often using NoSQL storage
Verwante concepten:
- Cloud computing - Infrastructure platform voor NoSQL deployment
- Machine learning - Analytics applications using NoSQL data sources
- IIoT - Connected devices generating NoSQL-suitable data
- Real-time processing - Applications requiring NoSQL performance characteristics
Bronnen
- MongoDB - Document database voor enterprise applications
- InfluxData - Time-series database platform voor IoT en monitoring
- Apache Cassandra - Distributed column-family database
- Redis Labs - In-memory data structure store
- Neo4j - Graph database platform voor connected data
- Amazon DynamoDB - Managed NoSQL database service
- Google Cloud Firestore - Serverless NoSQL document database
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