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- Extract, Transform, Load (ETL) is a three-phase process in computing where data is:
- Extracted from an input source.
- Transformed (including cleaning).
- Loaded into an output data container1.
Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.In computing, extract, transform, load (ETL) is a three-phase process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collated from one or more sources and it can also be output to one or more destinations.en.wikipedia.org/wiki/Extract,_transform,_loadExtract, load, transform (ELT) is an alternative to extract, transform, load (ETL) used with data lake implementations. In contrast to ETL, in ELT models the data is not transformed on entry to the data lake, but stored in its original raw format. This enables faster loading times.en.wikipedia.org/wiki/Extract,_load,_transform - People also ask
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Extract, transform, load - Wikipedia
In computing, extract, transform, load (ETL) is a three-phase process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collated from one or more sources and it can also be output to one or more destinations. ETL … See more
ETL processing involves extracting the data from the source system(s). In many cases, this represents the most important aspect of ETL, since … See more
In the data transformation stage, a series of rules or functions are applied to the extracted data in order to prepare it for loading into the end … See more
The typical real-life ETL cycle consists of the following execution steps:
1. Cycle initiation
2. See moreETL vendors benchmark their record-systems at multiple TB (terabytes) per hour (or ~1 GB per second) using powerful servers with multiple CPUs, multiple hard drives, multiple … See more
The load phase loads the data into the end target, which can be any data store including a simple delimited flat file or a data warehouse. Depending on the requirements of the organization, this process varies widely. Some data warehouses may … See more
ETL processes can involve considerable complexity, and significant operational problems can occur with improperly designed ETL … See more
A recent development in ETL software is the implementation of parallel processing. It has enabled a number of methods to improve overall … See more
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WebExtract, transform, load (ETL) and extract, load, transform (ELT) are the two main approaches used to build a data warehouse system. Variants. ETL-based data warehousing. The typical extract, transform, load …
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WebETL, which stands for extract, transform, and load, is the process data engineers use to extract data from different sources, transform the data into a usable and trusted resource, and load that data into the …
What is ELT? (Extract, Load, Transform) The …
WebELT stands for Extract, Load, Transform and is a modern alternative to ETL for data integration. Learn how ELT works, how it differs from ETL, and what tools are available to automate and optimize ELT.
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