In computing, extract, transform, load (ETL) is the general procedure of copying data from one or more sources into a destination system which represents the data differently from the source(s). The ETL process became a popular concept in the 1970s and is often used in data warehousing.
ETL and Business Intelligence. ETL is an important part of today's business intelligence (BI) processes and systems. It is the IT process from which data from disparate sources can be put in one place to programmatically analyze and discover business insights.
Extract Transform Load ETL Definition - Extract transform load (ETL) is the process of extraction, transformation and loading during database use, but...
In managing databases, extract, transform, load (ETL) refers to three separate functions combined into a single programming tool. First, the extract function reads data from a specified source database and extracts a desired subset of data. Next, the transform function works with the acquired data - using rules or lookup tables, or creating combinations with other data - to convert it to the ...
40 definitions of ETL. Meaning of ETL. What does ETL stand for? ETL abbreviation. Define ETL at AcronymFinder.com. Printer friendly. Menu Search. New search features Acronym Blog Free tools "AcronymFinder.com. ... suggest new definition; Search for ETL in Online Dictionary Encyclopedia.
It's an honour to hear that our products are being used for such a major event like The Open," said Andrew,Bond, Sales Director, at ETL Systems.
ETL Listed Mark. Intertek’s ETL Certification program is designed to help you get products tested, certified, and on to market faster than ever before. ETL was born into a culture of innovation. It was in Thomas Edison's lighting laboratories where it all began, and to this day we still breathe the same air of innovation, safety and quality.
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ETL is a type of data integration that refers to the three steps (extract, transform, load) used to blend data from multiple sources. It's often used to build a data warehouse.During this process, data is taken (extracted) from a source system, converted (transformed) into a format that can be analyzed, and stored (loaded) into a data warehouse or other system.