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Graph Databases

Definition updated on November 2023

What are graph databases?

Graph databases are databases designed to treat the relationships between data as equally important to the data itself. They are ideal for storing data about networks, such as social connections, supply chains, or network topologies.

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Multi-Dimensional Analysis
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Metadata Harvesting
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Machine Data
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Logical Data Model
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Legacy Data Integration
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Linked Data
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Lagrangian Data Analysis
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Knowledge Graph
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JSON Data Interchange Format
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Information Theory
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Feature Extraction
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Indexing and Searching
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Incremental Learning
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Hybrid Data Models
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Homomorphic Encryption
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File Format Conversion
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Field-Level Encryption
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Federated Learning
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Extract, Load, Transform (ELT)
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Enterprise Data Management
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Entity Resolution
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Edge Computing
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Document Storage
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Dimensional Modeling
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Diagnostic Analytics
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Digital Forensics
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Descriptive Analytics
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Data Visualization Tools
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Database Design
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Data Value Chain
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Data Utilization
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Data Traffic Analysis
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Data Transformation Services
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Data Transmutation
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Data Taxonomy
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Data Tracing
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Data Subsetting
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Data Structuring
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Data Streaming
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Data Steward
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Data Serialization
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Data Semantics
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Data Science Platforms
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Data Retention
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Data Reconciliation
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Data Resilience
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Data Recovery
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Data Readiness Levels
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Data Refinement
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Data Registries
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Data Reduction
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Data Quality Assurance
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Data Orchestration
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Data Operations (DataOps)
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Data Obfuscation
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Data Literacy
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Data Discovery
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Data Curation
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Data Blending
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Data Migration
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Data Normalization
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Data Deduplication
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Data Profiling
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Data Mashup
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Master Data Management
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Quantitative Analysis
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Metadata Management
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Data Federation
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Knowledge Discovery
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Data Provenance
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Information Retrieval
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Data Marts
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Data Modeling
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Copyright Infringement Detection
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