01 May 2010

Data Warehousing: Extraction, transformation, and loading/ETL (Definitions)

"A process for acquiring data from source systems, reformatting and cleansing it based on business requirements, and loading it, usually into a data warehouse. The term is more generally used as a means of moving data between systems." (Jill Dyché & Evan Levy, "Customer Data Integration", 2006)

"The process of taking data from one source - the source - and transforming it and loading it into another location - the target." (William H Inmon & Anthony Nesavich, "Tapping into Unstructured Data", 2007)

[ETL system:] "Extract, transformation, and load system consisting of a set of processes by which the operational source data is prepared for the data warehouse. Consists of extracting operational data from source applications, cleaning and conforming the data, and delivering the data to the presentation servers, along with the ongoing management and support functions." (Ralph Kimball, "The Data Warehouse Lifecycle Toolkit", 2008)

"The very essence of business intelligence, this is the process of removing raw data from a data system, processing and cleaning it, and then making it available in a business-intelligence database." (Stuart Mudie et al, "BusinessObjects™ XI Release 2 for Dummies", 2008)

"The process of connecting to a source database, pulling data out of the source database, transforming the data into a standard format, and then loading the data into a destination system." (Ken Withee, "Microsoft Business Intelligence For Dummies", 2010)

"A term that describes the activities used to prepare a collection of data sources for loading into a database, but also used to describe data mapping and transformation processes in general." (John R Talburt, "Entity Resolution and Information Quality", 2011)

"Generally, an approach to data integration from multiple source databases to integrated target databases." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

"In computing, extract, transform, and load refers to a process in database usage and especially in data warehousing that: extracts data from outside sources; transforms it to fit operational needs, which can include quality levels, and loads it into the end target (database, more specifically, operational data store, data mart, or data warehouse)." (Keith Holdaway, "Harness Oil and Gas Big Data with Analytics", 2014)

"Data warehouse process used to extract data from disparate or homogeneous data sources. Transforms the data to align with data structure for storing and analysis." (Dennis C Guster, "Scalable Data Warehouse Architecture: A Higher Education Case Study", 2018)

"An acronym for the Extract, Transform and Load process. This refers to extracting data from the source system, transforming (cleaning and manipulating etc.) the data and then loading the data into the data warehouse." (BI System Builders)

"ETL is a process that extracts, transforms, and loads data from multiple sources to a data warehouse or other unified data repository." (IBM) [source

"Refers to the process by which data is:
– Extracted from sources
– Transformed or standardized for storing in the proper heterogeneous format
– and Loaded into the final store or warehouse. The ETL process is commonly run in parallel with transformation processes executing as data is being extracted from sources." (Insight Software)

"Short for extraction, transformation, and loading. The process used to populate a data warehouse from disparate existing database systems." (Microstrategy)

"The act of extracting data from various sources, transforming data to consistent types, and loading the transformed data for use by applications." (Microsoft)

"a process in data warehousing responsible for pulling data out of one source, transforming them so that they meet the needs of the processes that will be using them on next stages, and placing them into target database." (KDnuggets)

"ETL is shorthand for – extract, transform, load. An ETL solution facilitates the replication of data from one or more sources that is converted into format suitable for use in analytics and moved into a destination system." (Qlik) [source]

"ETL (extract, transform, load) is three combined processes that are used to pull data from one database and move it to another database. It is a common function in data warehousing." (snowflake) [source]

"ETL (extract, transform, load) processes are three common functions performed on databases. Extract or read data from a database, transform the extracted data into a structure that can be placed into another database, and load or write the data into the target database." (kloudless)

"ETL (extract, transform, load) processes are three database functions. They extract or read data from a database, transform the extracted data into a structure that can be placed into another database, and load or write the data into the target database." (MuleSoft) 

"ETL stands for Extract-Transform-Load and it refers to the process used to collect data from numerous disparate databases, applications and systems, transforming the data so that it matches the target system’s required formatting and loading it into a destination database." (Databricks) [source]

"Extract Transform Load refers to a trio of processes that are performed when moving raw data from its source to a data warehouse, data mart, or relational database." (Informatica) [source]

"Extract, Transform and Load (ETL) refers to the process in data warehousing that concurrently reads (or extracts) data from source systems; converts (or transforms) the data into the proper format for querying and analysis; and loads it into a data warehouse, operational data store or data mart). ETL systems commonly integrate data from multiple applications or systems that may be hosted on separate hardware and managed by different groups or users. ETL is commonly used to assemble a temporary subset of data for ad-hoc reporting, migrate data to new databases or convert database into a new format or type." (Teradata) [source]

"Refers to a process in database usage consisting of three phases: extracting data from external sources, transforming it to fit operational needs (can include a quality check), and loading it into a target database or data warehouse." (Board International)

"In business intelligence, an ETL tool extracts data from one or more data-sources, transforms it and cleanses it to be optimized for reporting and analysis, and loads it into a data store or data warehouse. ETL stands for extract, transform, and load." (Logi Analytics) [source]
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