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Extract, transform, load (ETL) is a three-phase computing process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container.
Data conversion is the conversion of computer data from one format to another. Throughout a computer environment, data is encoded in a variety of ways. For example, computer hardware is built on the basis of certain standards, which requires that data contains, for example, parity bit checks.
It is a type of extract, transform, load (ETL) process, with software tools and libraries specialised for geographical information. [1] A common use of spatial ETL is to convert geographical information from a data source into another format that can be more easily used, for example by importing it into GIS software. [1]
The base product is FME Form (formerly FME Desktop); this is a standalone software package with an interface that enables the user to graphically build workflows for data translation, automation, and format and coordinate conversion.
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. With the alternative method extract, load and transform (ELT), the loading job is the middle step, and the transformed data is loaded in its original format for data transformation in the target ...
Operational systems maintain a snapshot of the business, while warehouses maintain historic data through ETL processes that periodically migrate data from the operational systems to the warehouse. Online analytical processing (OLAP) is characterized by a low rate of transactions and complex queries that involve aggregations. Response time is an ...
Apache NiFi is a software project from the Apache Software Foundation designed to automate the flow of data between software systems.Leveraging the concept of extract, transform, load (ETL), it is based on the "NiagaraFiles" software previously developed by the US National Security Agency (NSA), which is also the source of a part of its present name – NiFi.
The next step is to convert/transform the file that the translator creates into a format that can be imported into a company's back-end business systems, applications or ERP. This can be accomplished by using a custom program, an integrated proprietary "mapper" or an integrated standards-based graphical "mapper," using a standard data ...
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