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A properly designed ETL system extracts data from source systems and enforces data type and data validity standards and ensures it conforms structurally to the requirements of the output. Some ETL systems can also deliver data in a presentation-ready format so that application developers can build applications and end users can make decisions. [1]
Business Objects's Data Integrator is a data integration and ETL tool that was previously known as ActaWorks. Newer versions of the software include data quality features and are named SAP BODS (BusinessObjects Data Services). The Data Integrator product consists primarily of a Data Integrator Job Server and the Data Integrator Designer.
The transformation phase of a spatial ETL process allows a variety of functions; some of these are similar to standard ETL, but some are unique to spatial data. [3] Spatial data commonly consists of a geographic element and related attribute data; therefore spatial ETL transformations are often described as being either geometric transformations – transformation of the geographic element ...
Pipeline Pilot is a software tool designed for data manipulation and analysis. It provides a graphical user interface for users to construct workflows that integrate and process data from multiple sources, including CSV files, text files, and databases. The software is commonly used in extract, transform, and load (ETL) tasks.
Extract, 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. However, ELT requires sufficient processing power within the ...
SAP HANA (HochleistungsANalyseAnwendung or High-performance ANalytic Application) is an in-memory, column-oriented, relational database management system developed and marketed by SAP SE. [2] [3] Its primary function as the software running a database server is to store and retrieve data as
Data loading, or simply loading, is a part of data processing where data is moved between two systems so that it ends up in a staging area on the target system. With the traditional extract, transform and load (ETL) method, the load job is the last step, and the data that is loaded has already been transformed.
Extract, transform, load (ETL) design and development is the design of some of the heavy procedures in the data warehouse and business intelligence system. Kimball et al. suggests four parts to this process, which are further divided into 34 subsystems [3]: Extracting data; Cleaning and conforming data; Delivering data for presentation