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Extract, transform, load

Extract, transform, load (ETL) is a three-phase computing process where data are extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collected from one or more sources and it can also be output to one or more destinations. ETL processing is typically executed using software…

Phases, Design challenges & Variations

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Explore the main themes, entities and connections around Extract, transform, load. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Overview

Phases

Design challenges

Implementations

Variations

Advanced semantic analysis

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Map overview Semantic statistics

Extract, transform, load

Nodes93
Edges92
Triples8
Avg. degree1.98
Density0.021505
Components1

How this topic connects Entity context

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Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data etl may source system warehouse process example used database systems load processing also sources different transform one extract multiple

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
an operational data storeinstance ofdata loading describes the insertion of data into the final target database0.80text
a data martinstance ofdata loading describes the insertion of data into the final target database0.80text
data lake or a data warehouse.ETLinstance ofdata loading describes the insertion of data into the final target database0.80text
its variant ELTinstance ofdata loading describes the insertion of data into the final target database0.80text
Virtual Storage Access Methodinstance ofbut may also include non-relational database structures such as IBM Information Management System or other data structures0.80text
used by accountantsinstance ofETL can be used to transform the data into a format suitable for the new application to use.An example would be an expense and cost recovery system0.80text
consultantsinstance ofETL can be used to transform the data into a format suitable for the new application to use.An example would be an expense and cost recovery system0.80text
and law firmsinstance ofETL can be used to transform the data into a format suitable for the new application to use.An example would be an expense and cost recovery system0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

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