ETLis a process that extracts the data from different source systems, then transforms the data (like applying calculations, concatenations, etc.) and finally loads the data into the Data Warehouse system. Full
Data extraction plays a major role in designing a successful DW system. Different source systems may have different characteristics of data, and the ETL process will manage these differences effectively while extracting the data. “Logical data map” is a base document for data extraction. This sho...
Speeding ETL and Processing in Data WarehousesDavid Loshin
This process extracts data from multiple disparate sources. It then transforms the data into the chosen format for analysis and loads it into the final destination, such as a data warehouse or lake. Extract: Data is gathered from databases, APIs, flat files, etc., and compiled in its raw ...
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 ...
Extraction–transformation–loading (ETL) tools are pieces of software responsible for the extraction of data from several sources, its cleansing, customization, reformatting, integration, and insertion into a data warehouse. Building the ETL process is potentially one of the biggest tasks of building...
Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) is a process used in a data engineering pipeline to move data from one or more sources to a target system. It is a fundamental type of workflow in data engineering. An ETL pipeline ensures the accuracy of processing, cleani...
ETL processing in data warehouse project谈数据仓库建设中的ETL过程 张云 Keywords: 商业智能,数据仓库,元数据,ETL Full-Text Cite this paper Add to My Lib Abstract: 本文介绍了数据仓库建设中的ETL过程,包括ETL的概念、目标以及如何正确实施ETL以保证数据仓库成功。 Full-Text Contact Us service@oalib....
Extract Transform Load (ETL) is the process used to gather data from multiple sources and then bring it together to support discovery, reporting, analysis, and decision making.
Making ETL Architecture Choices for the Data Warehouse ETL has a prominent place in data warehousing and business intelligence architecture. The extract, transformation and loading process includes a number of steps: Create your own diagrams that show the planned ETL architecture and the flow of data...