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What is ETL

Data-Driven Business Intelligence Systems for Socio-Technical Organizations
The abbreviation of Extract, Transform, Load. ETL is preparing and integrating the operational data.
Published in Chapter:
Digital Transformation and Business Intelligence (BI) in the Industry 4.0 (I 4.0) Age
Mune Moğol Sever (Anadolu University, Turkey)
DOI: 10.4018/979-8-3693-1210-0.ch002
Abstract
It is crucial to investigate novel methods for handling the rapidly growing volume of data produced by Industry 4.0 (I4.0), Society 5.0 (S5.0), and IoTs (internet of things). Digital solutions are becoming essential for ensuring that the process continues unhindered and for giving prompt responses. To evaluate and conclude the vast amounts of data generated in this intelligent society, newer information technologies are required. Consisting of optimization, modeling, and data mining, BI is a bundle of technology for multi-dimensional analysis to obtain meaningful data and information from big data without the need for business analysts, professionals, or any trained experts. It consists of optimization, modeling, and data mining. This chapter aims to provide an overview of business intelligence, including its components, varieties, and practical uses in the context of the digital ecosystem. Following an explanation of the BI theoretical framework, four case studies from various industries will be covered, followed by empirical research.
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Data Gathering, Processing, and Visualization for COVID-19
Stands for extract, transform, and load, which is the general procedure of delivering data from one data source to another.
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“Smart City”: The Concept of Resolving the Contradiction Between Production and Urban Life
Extract, transform, load refers to a process in database usage and especially in data warehousing.
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Deductive Data Warehouses: Analyzing Data Warehouses With Datalog (By Example)
Extract - transform - load process used to integrate, clean, and load the data into the data warehouse.
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Data Lakes
ETL stands for Extract, Transform, and Load. It is a data integration tool through which various data sources in different formats can be consolidated into a single location, such as Data Warehouse.
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Biomedical Data Warehouses
Data warehousing process that includes extracting data from external sources, transforming them and finally loading them into the warehouse.
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Challenges and Solutions of Real-Time Data Integration Techniques by ETL Application
Extract, transform, and load is a method of integrating data that gathers information from several sources into a single, unified data repository that is then loaded into a data warehouse or other destination system.
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Integrated Data Mining and Business Intelligence
Extract, Transform and Load (ETL) refers to a process in database usage and especially in data warehousing that involves Extracting data from outside sources, Transforming it to fit operational needs and loading it into the end target (database, more specifically, operational data store, data mart or data warehouse).
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Business Intelligence: Strengths, Weaknesses, and Opportunities
Means to extract, transform, and load information. Usually from a database system.
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A Business Intelligence Maturity Evaluation Model for Management Information Systems Departments
It is one of the stages of the Business Intelligence processes responsible for extracting, processing and loading the data from the transactional sources and later stored in the data repositories.
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Sustainable Big Data Analytics Process Pipeline Using Apache Ecosystem
Stands for extract, transform, and load, which is the general procedure of delivering data from one data sources to another.
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Management of Big Data Projects: PMI Approach for Success
Short for “Extract, Transform, Load”, ETL is a process in database usage to prepare data for analysis.
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Searching Semantic Data Warehouses
The process of Extraction, Transformation and Loading of data coming from a collection of heterogeneous data sources, needed to make them suitable for Data Warehouse usage.
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Record Linkage in Data Warehousing
The process of Extraction, Transformation and Loading of data coming from a collection of heterogeneous data sources, needed to make them suitable for Data Warehouse usage.
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Designing Business Analytics Projects (BAP): A Five-Step Dashboarding Cycle
ETL is the process of (E) extracting information from its sources, (T) transforming it to a common format, and (L) loading the extracted information into a location/repository.
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Why Is Data So Hard?: Challenges, Solutions, and Future Directions
Extract, transform, and load is the process of taking data from one source, enriching it, and then placing it in another source, usually a data warehouse.
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Empirical Investigation on the Evolution of BI Maturity in Malaysian Organizations
Williams and Williams (2007) defines extract, transformation, and loading (ETL) as a “process that extracts data from source systems, potentially changes it (transformation process), and loads it into target data stores in the BI/DW environment” (p. 201).
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