![]() Some of the benefits of an ELT process include speed and the ability to handle both structured and unstructured data. Extract, Transform, Load (ETL) ist ein Prozess, bei dem Daten aus mehreren, gegebenenfalls unterschiedlich strukturierten Datenquellen in einer Zieldatenbank vereinigt werden. ETL, which stands for extract, transform and load, is a data integration process that combines data from multiple data sources into a single, consistent data store that is loaded into a data warehouse or other target system. This article covers the meaning, tools, and testing process of ETL. Since the data is not processed on entry to the data lake, the query and schema do not need to be defined a priori (although often the schema will be available during load since many data sources are extracts from databases or similar structured data systems and hence have an associated schema). ETL (extract, transform, load) is defined as a data integration solution that combines data from several sources to create one consistent data repository, which can then be loaded into a storage system such as a data warehouse. Spatial extract, transform, load (spatial ETL), also known as geospatial transformation and load (GTL), provides the data processing functionality of traditional extract, transform, load (ETL) software, but with a primary focus on the ability to manage spatial data (which may also be called GIS, geographic, or map data). ![]() These steps are: Extract: Collecting data from a database. ![]() In addition to migrating data from one database to another, it also converts (transforms) databases into a single format that can be utilized in the final destination. However, ELT requires sufficient processing power within the data processing engine to carry out the transformation on demand, to return the results in a timely manner. ETL stands for Extract, Transform, and Load, and refers to the process of transferring data from one location to another. 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. ![]() Please help improve this article by introducing citations to additional sources.įind sources: "Extract, load, transform" – news Įxtract, load, transform ( ELT) is an alternative to extract, transform, load (ETL) used with data lake implementations. Relevant discussion may be found on the talk page. This article relies largely or entirely on a single source. ![]()
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