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This guide is intended for solution architects and developers responsible for the development of Extract Transfer Load (ETL) graphs for data extraction, detailing the use of sample graphs to extract
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How to fill out master data extract guide

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How to fill out MASTER DATA EXTRACT GUIDE

01
Gather all relevant data sources that contain master data.
02
Identify the types of master data to be extracted, such as customer information, product data, or supplier details.
03
Fill out the header section of the form with the appropriate title and date.
04
For each data type, provide a brief description of the data source.
05
Specify the format for each data type (e.g., CSV, Excel, database).
06
Indicate any transformation rules needed for the data before extraction.
07
List the stakeholders who require access to the data extract.
08
Review the guide for completeness and accuracy before submission.

Who needs MASTER DATA EXTRACT GUIDE?

01
Data analysts who require a structured dataset for analysis.
02
Project managers overseeing data integration projects.
03
IT teams involved in data migration or system upgrades.
04
Business users who need access to reliable master data for decision-making.
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The MASTER DATA EXTRACT GUIDE is a document or tool that outlines the process for extracting and managing master data within an organization, ensuring consistent and accurate data usage across different systems.
Typically, organizations that manage large volumes of data or are subject to regulatory compliance may be required to file the MASTER DATA EXTRACT GUIDE, including data stewards and compliance officers.
To fill out the MASTER DATA EXTRACT GUIDE, users should follow the provided instructions, which may include entering relevant master data attributes, following the defined format, and ensuring accuracy and completeness of the information provided.
The purpose of the MASTER DATA EXTRACT GUIDE is to standardize the approach to data extraction, enhance data quality, facilitate data management practices, and support compliance with data governance policies.
Information that must be reported typically includes master data attributes such as entity names, identifiers, data sources, and descriptions, along with any relevant metadata that supports data understanding and usage.
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