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Get the free Data mapping acceleration - European Patent Office - EP 2562659 A1 A data mapping ac...

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TEPZZ56659A T (19) (11) EP 2 562 659 A1 EUROPEAN PATENT APPLICATION (12) (43) Date of publication: (51) Int Cl.: G06F 17/30 (2006.01) 27.02.2013 Bulletin 2013/09 (21) Application number: 12005955.5
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How to fill out data mapping acceleration

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Point by point guide for filling out data mapping acceleration and explaining who needs it:
01
Start by understanding the purpose of data mapping acceleration: Data mapping acceleration is a process that streamlines the mapping of data from one format to another. It helps organizations efficiently transfer, transform, and integrate data across different systems or applications.
02
Identify the source and target systems: Begin by identifying the source and target systems involved in the data mapping process. The source system is the one from which you extract data, and the target system is the one where you want to load or transform the data into.
03
Analyze the data structures: Next, examine the data structures of both the source and target systems. This involves understanding the data fields, their formats, and any transformations or conversions needed to map the data accurately.
04
Determine the mapping rules: Based on the analysis of data structures, determine the mapping rules required to move or transform the data from the source to the target system. Mapping rules define how the fields in the source system correspond to the fields in the target system.
05
Create or update the data mapping templates: Use a data mapping tool or software to create or update the data mapping templates. These templates serve as a guide for mapping the data from the source fields to the target fields according to the identified mapping rules.
06
Test and validate the data mapping: Before implementing the data mapping acceleration, thoroughly test and validate the mappings. This step helps ensure that the data is correctly transformed and integrated between the source and target systems.
07
Implement and monitor the data mapping acceleration process: Once the data mapping is successfully tested, implement it in a production environment. Continuously monitor the data mapping process to identify any issues or improvements required.

Who needs data mapping acceleration?

01
Organizations with complex data integration requirements: Businesses that deal with large volumes of data and have multiple systems or applications that need to exchange data can benefit from data mapping acceleration. It helps simplify and expedite the data integration process.
02
IT professionals and data analysts: Data mapping acceleration tools are particularly useful for IT professionals and data analysts responsible for orchestrating data movements between different systems. It allows them to efficiently map and transform data, saving time and resources.
03
Companies undergoing digital transformation: Organizations undergoing digital transformation initiatives often need to integrate new technologies or systems with existing ones. Data mapping acceleration can facilitate the integration process by ensuring smooth data exchange and compatibility.
04
Data governance and compliance teams: Data mapping acceleration can aid data governance and compliance efforts by providing a streamlined and automated approach to data mapping. It helps ensure data accuracy, consistency, and compliance with regulatory requirements.
In summary, data mapping acceleration is a valuable tool for organizations and professionals involved in data integration, transformation, and compatibility. By following the step-by-step guide and understanding who can benefit from it, you can effectively fill out data mapping acceleration and harness its advantages for your business or projects.
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Data mapping acceleration refers to the process of quickly and efficiently mapping data from one format to another.
Companies or organizations that need to transfer data from one system to another are required to file data mapping acceleration.
Data mapping acceleration can be filled out by using specialized software or tools designed for data transformation.
The purpose of data mapping acceleration is to streamline the process of transferring data between different systems and formats.
Data mapping acceleration typically requires information on the source data, target data, mapping rules, and any transformations applied.
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