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Data mapping

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May 1, 2024 Updated July 10, 2025 15 minute read
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Data mapping is the process of defining how data from different sources is related to each other. This involves identifying and mapping common elements between two or more datasets to ensure that they can be integrated and analyzed together. Data mapping is a crucial step in the data integration process and is essential for ensuring that data is consistent and accurate.

Why Learn Data Mapping?

There are many reasons to learn data mapping. Here are a few of the most common:

Path to Data mapping

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We've curated seven courses to help you on your path to Data mapping. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data mapping.
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The Changing Mile Revisited
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Covers data mapping for data governance. It good resource for anyone who wants to learn more about how to use data mapping to ensure that data is consistent and accurate across an organization.
The Changing Mile Revisited: An Ecological Study of...
Kindle Edition
$$
Cover image
The Data Warehouse Mentor: Practical Data Warehouse...
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Covers data mapping for data warehousing. It good resource for anyone who wants to learn more about how to use data mapping to integrate data from different sources into a data warehouse.
The Data Warehouse Mentor: Practical Data Warehouse...
Paperback
$$
The Data Warehouse Mentor: Practical Data Warehouse...
Kindle Edition
$$
Relevant careers
Data Analyst
Data Scientist
Data Integration Specialist
Business Intelligence Analyst
Data Quality Analyst
Data Architect
Data Engineer
Software Engineer
Database Administrator
Related topics
Data Management
Data Science
Data Integration
Big Data
Data Analytics
Business Intelligence
Machine Learning
Artificial Intelligence
Cloud Computing
Software Engineering
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