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Data Profiling
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Data Profiling

Definition updated on November 2023

What is data profiling?

Data profiling is the process of examining the data available from an existing source and collecting statistics or informative summaries about that data. It is used to understand data quality issues and establish a foundation for data cleaning and quality improvement.

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Multi-Dimensional Analysis
What is multi-dimensional analysis?
M
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Metadata Harvesting
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M
🏭
Machine Data
What is machine data?
M
🧠
Logical Data Model
What is a logical data model?
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🛠️
Legacy Data Integration
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L
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Linked Data
What is linked data?
L
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Lagrangian Data Analysis
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🏛️
Information Architecture
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Knowledge Graph
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Key Performance Indicators (KPI)
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JSON Data Interchange Format
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In-Memory Computing
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Internet of Things (IoT) Data
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Information Theory
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I
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Feature Extraction
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F
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Indexing and Searching
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I
📈
Incremental Learning
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I
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Hybrid Data Models
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Homomorphic Encryption
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High-Performance Computing
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Heuristic Analysis
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🗂️
Hierarchical Data Format
What is hierarchical data format?
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Differential Privacy
What is differential privacy?
D
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Graph Databases
What are graph databases?
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Forensic Data Analysis
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F
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File Format Conversion
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F
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Field-Level Encryption
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F
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Federated Learning
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F
⚙️
Extract, Load, Transform (ELT)
What is Extract, Load, Transform (ELT)?
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Enterprise Data Management
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E
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Entity Resolution
What is entity resolution?
E
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Edge Computing
What is edge computing?
E
🗃️
Document Storage
What is document storage?
D
📐
Dimensional Modeling
What is dimensional modeling?
D
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Diagnostic Analytics
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D
🔎
Digital Forensics
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D
📊
Descriptive Analytics
What is descriptive analytics?
D
📊
Data Visualization Tools
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D
💡
Decision Support Systems
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D
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Database Design
What is database design?
D
📑
Database Indexing
What is database indexing?
D
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Data Value Chain
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D
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Data Utilization
What is data utilization?
D
🚦
Data Traffic Analysis
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D
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Data Transformation Services
What are data transformation services?
D
🧙‍♂️
Data Transmutation
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D
🌳
Data Taxonomy
What is data taxonomy?
D
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Data Tracing
What is data tracing?
D
🔲
Data Subsetting
What is data subsetting?
D
🏗️
Data Structuring
What is data structuring?
D
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Data Streaming
What is data streaming?
D
🛂
Data Steward
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D
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Data Serialization
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D
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Data Semantics
What are data semantics?
D
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Data Science Platforms
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D
🕰️
Data Retention
What is data retention?
D
🤝
Data Reconciliation
What is data reconciliation?
D
🛡️
Data Resilience
What is data resilience?
D
⛑️
Data Recovery
What is data recovery?
D
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Data Readiness Levels
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D
💠
Data Refinement
What is data refinement?
D
📇
Data Registries
What are data registries?
D
🗜️
Data Reduction
What is data reduction?
D
✔️
Data Quality Assurance
What is data quality assurance?
D
🎼
Data Orchestration
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D
⚙️
Data Operations (DataOps)
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D
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Data Obfuscation
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D
📘
Data Literacy
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D
🔎
Data Discovery
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D
📚
Data Curation
What is data curation?
D
🎨
Data Blending
What is data blending?
D
🚚
Data Migration
What is data migration?
D
🔍
Data Normalization
What is data normalization?
D
♻️
Data Deduplication
What is data deduplication?
D
📈
Data Mashup
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D
✨
Data Enrichment
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D
👑
Master Data Management
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M
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Data Staging
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D
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Data Cleansing
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D
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Data Lifecycle Management
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D
📏
Data Standards
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D
🔢
Quantitative Analysis
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Q
🗂️
Metadata Management
What is metadata management?
M
🌐
Data Federation
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D
🧠
Knowledge Discovery
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K
📜
Data Provenance
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D
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Information Retrieval
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I
🏪
Data Marts
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D
📊
Data Modeling
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D
🆓
Open-Source Software Licensing
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O
💡
Patent Filings
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P
📝
Terms of Use and Privacy Policies
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T
📝
API Terms of Service
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A
🕵️‍♀️
Copyright Infringement Detection
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®️
Trademark Protection
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T
📜
DMCA Takedown Notices
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D
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Anti-Piracy Measures
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A
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Digital Rights Management
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D
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Software Licensing
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⚖️
Legal and Regulatory Frameworks
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