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Data Retention
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Data Retention

Definition updated on November 2023

What is data retention?

Data retention is the policy of persistent data and records management for meeting legal compliance and business requirements. It determines how long data should be kept and when it should be disposed of.

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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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Indexing and Searching
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Incremental Learning
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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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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 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 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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D
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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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D
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Data Blending
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Data Migration
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D
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Data Normalization
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D
♻️
Data Deduplication
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D
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Data Profiling
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D
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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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Q
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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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Terms of Use and Privacy Policies
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API Terms of Service
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