What is ETL

1.

Extract, transform, load. Learn more in: Big-Data-Based Architectures and Techniques: Big Data Reference Architecture

2.

Stands for extract, transform, and load, which is the general procedure of delivering data from one data source to another. Learn more in: Data Gathering, Processing, and Visualization for COVID-19

3.

Extract, transform, load refers to a process in database usage and especially in data warehousing. Learn more in: “Smart City”: The Concept of Resolving the Contradiction Between Production and Urban Life

4.

Extract - transform - load process used to integrate, clean, and load the data into the data warehouse. Learn more in: Deductive Data Warehouses: Analyzing Data Warehouses With Datalog (By Example)

5.

Data warehousing process that includes extracting data from external sources, transforming them and finally loading them into the warehouse. Learn more in: Biomedical Data Warehouses

6.

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). Learn more in: Integrated Data Mining and Business Intelligence

7.

Means to extract, transform, and load information. Usually from a database system. Learn more in: Business Intelligence: Strengths, Weaknesses, and Opportunities

8.

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. Learn more in: A Business Intelligence Maturity Evaluation Model for Management Information Systems Departments

9.

Short for “Extract, Transform, Load”, ETL is a process in database usage to prepare data for analysis. Learn more in: Management of Big Data Projects: PMI Approach for Success

10.

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. Learn more in: Searching Semantic Data Warehouses

11.

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. Learn more in: Record Linkage in Data Warehousing

12.

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. Learn more in: Designing Business Analytics Projects (BAP): A Five-Step Dashboarding Cycle

13.

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. Learn more in: Why Is Data So Hard?: Challenges, Solutions, and Future Directions

14.

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). Learn more in: Empirical Investigation on the Evolution of BI Maturity in Malaysian Organizations