A-Z Popular New Data Search »
Data
 
Technology Guides

What is Data Purging?

 , updated on
Data purging is permanently deleting data such that it can't be recovered by standard methods. The term is most commonly applied to databases but is used by other business software as well.

Delete vs Purge

Deleting data in databases doesn't necessarily physically delete the data or free space. In some cases, such data is recoverable and remains allocated in a recycle bin. Purge is a function for freeing space that is viewed as unrecoverable from the perspective of the database software. In some cases, the data may still be physically recoverable from data storage.
Purge may be run by a database administrator based on a variety of criteria. It may also be run by the database itself to purge data based on age that has been deleted. Such processes may be initiated when space runs low.

Purge vs Archive

Archive is an alternative to purge that moves data to an archive file as opposed to deleting it. Archive can also be used to free space in a database by moving data to storage devices for archives such as tape.
Overview: Data Purging
Type
Definition (1)
Permanently deleting data such that it can't be recovered by standard methods.
Related Concepts

Data

This is the complete list of articles we have written about data.
Abstract Data
Atomic Data
Big Data
Causality
Cohort
Cohort Analysis
Dark Data
Data
Data Analysis
Data Architecture
Data Attribute
Data Cleansing
Data Collection
Data Complexity
Data Consumer
Data Control
Data Corruption
Data Custodian
Data Degradation
Data Dredging
Data Entity
Data Federation
Data Integration
Data Integrity
Data Liberation
Data Lineage
Data Literacy
Data Loss
Data Management
Data Massage
Data Migration
Data Mining
Data Owner
Data Producer
Data Quality
Data Remanence
Data Risks
Data Rot
Data Science
Data Security
Data States
Data Transformation
Data Uncertainty
Data Veracity
Data View
Data Virtualization
Data Volume
Data Wipe
Decision Support
Deep Magic
Degaussing
Empirical Evidence
ETL
Event Data
Hard Data
Information Assurance
Legacy Data
Machine Data
Market Research
Master Data
Metadata
Metrics
Misuse of Statistics
Overfitting
Personal Data
Personal Information
Predictive Analytics
Primary Data
Primary Research
Privacy
Qualitative Data
Qualitative Info
Quantification
Quantitative Data
Raw Data
Reference Data
Small Data
Soft Data
Source Data
Statistical Analysis
Statistical Population
Structured Data
Transaction Processing
Transactional Data
Types Of Data
Unstructured Data
If you enjoyed this page, please consider bookmarking Simplicable.
 

Data

An overview of data with a list of examples.

Types Of Data

The basic types of data.

Dark Data

The definition of dark data with examples.

Data Massage

The mysteries of data massage.

Data Definition

Several useful definitions of data.

Analytics

A definition of analytics with examples.

Data vs Information

The difference between data and information.

Hard Data vs Soft Data

The difference between hard data and soft data.

Human Readable

A definition of human readable.

Data Loss

The common types of data loss.

Data Management

An overview of data management with examples.

Data Governance vs Data Management

The difference between data governance and data management.

Data Liberation

An overview of data liberation.

Master Data Management

An overview of master data management.

Single Source Of Truth

A definition of single source of truth, a data management strategy.

Data Escrow

An overview of data escrow.

Data Availability

An overview of data availability.

Data Proliferation

A definition of data proliferation with examples.

Namespace

The definition of namespace with examples.

Data Science Skills

An list of commonly cited data science skills.
The most popular articles on Simplicable in the past day.

New Articles

Recent posts or updates on Simplicable.
Site Map