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Data Transmutation
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Data Transmutation

Definition updated on November 2023

What is data transmutation?

Data transmutation involves changing the format, structure, or values of data without altering its meaning or purpose. It's often used to adapt data to different standards or systems.

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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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JSON Data Interchange Format
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Internet of Things (IoT) Data
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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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Heuristic Analysis
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Hierarchical Data Format
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Differential Privacy
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Graph Databases
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Forensic Data Analysis
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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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Decision Support Systems
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Database Design
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Database Indexing
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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 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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Data Enrichment
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Master Data Management
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Data Staging
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Data Cleansing
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Data Standards
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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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Open-Source Software Licensing
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Patent Filings
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API Terms of Service
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Copyright Infringement Detection
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