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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 extracting data correctly sets the stage for the success of subsequent … 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. … See more
The typical real-life ETL cycle consists of the following execution steps:
1. Cycle initiation
2. Build reference data
3. Extract (from sources)
4. Validate See moreA recent development in ETL software is the implementation of parallel processing. It has enabled a number of methods to improve overall … 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 target.
An important … See moreETL processes can involve considerable complexity, and significant operational problems can occur with improperly designed ETL … See more
ETL vendors benchmark their record-systems at multiple TB (terabytes) per hour (or ~1 GB per second) using powerful servers with … See more
Wikipedia text under CC-BY-SA license Extract, load, transform - Wikipedia
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WEBHow ETL Works. The traditional ETL process is broken out as follows: Extract refers to pulling a predetermined subset of data from a source such as an SQL or NoSQL database, a cloud platform or an XML file. …
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What is ELT? (Extract, Load, Transform) The …
WEBHow ELT Works. ELT and cloud-based data warehouses and data lakes are the modern alternative to the traditional ETL pipeline and on-premises hardware approach to data integration. ELT and cloud-based …
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WEBDefining ETL. If you’re working with data warehouses and data integration, chances are you’re familiar with the acronym “ETL,” or “extract, transform and load.”
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