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Data version control

Data version control is a method of working with data sets. It is similar to the version control systems used in traditional software development, but is optimized to allow better processing of data and collaboration in the context of data analytics, research, and any other form of data analysis. Data version control may also include specific features…

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Overview

History

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Examples

  • DVC Data Version Control

Advanced semantic analysis

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Map overview Semantic statistics

Data version control

Nodes36
Edges35
Triples50
Avg. degree1.94
Density0.055556
Components1

How this topic connects Entity context

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Data version control

Top relations

related to background · 7
Data version control → Apache Hadoop, As, HDFS, In, Research, The, This
related to Machine learning and artificial intelligence · 7
Data version control → AI, CI/CD, Git, Git-like, In, It, Many
related to Version controlled databases · 7
Data version control → AI, In, Kaggle, SciDB, Since, The, This
related to CI/CD for data · 6
Data version control → By, CI, CI/CD, Continuous Integration, In, Version
related to Development and testing · 4
Data version control → Data, ETL, Some, This
related to Experimentation in isolated environments · 4
Data version control → Data, Instead, Such, To
related to Reproducibility · 4
Data version control → Data, If, Most, The
related to Rollback · 3
Data version control → Continuous, Data, This
is a · 1
Data version control → method of working with data sets

Important terminology Word statistics

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Important terminology

data version control allow used sets tools testing machine learning ci databases production changes systems large cd development software context

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Data version controlis amethod of working with data sets0.90text
difficulties in problem debugging or complying with data audits.Developmentinstance ofthey may run into a number of challenges0.80text
testingData version control is sometimes used in testinginstance ofthey may run into a number of challenges0.80text
development of applications that interact with large quantities of datainstance ofthey may run into a number of challenges0.80text
extractinstance ofThis approach allows them to test data integration processes0.80text
transforminstance ofThis approach allows them to test data integration processes0.80text
loadinstance ofThis approach allows them to test data integration processes0.80text
difficulties in problem debugging or complying with data auditsinstance ofthey may run into a number of challenges0.80text
Data version controlrelated to backgroundAs0.60section
Data version controlrelated to backgroundThis0.60section
Data version controlrelated to backgroundIn0.60section
Data version controlrelated to backgroundThe0.60section

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