What is Data Mapping?

Data mapping is the process of transforming data from one data format or structure into another. It's essential for data integration, migration, and warehousing, ensuring that data is consistent and compatible across different systems. Common uses include ETL processes, application integration, and data governance.

Find 657 organizations using Data Mapping on Sumble →

What other technologies are related to Data Mapping?

Data Mapping Complementary Technologies

Data Profiling

Data profiling helps understand the structure and content of data, which is crucial for effective data mapping.

data analysis

Data analysis helps to understand the relationships and patterns within data, which is essential for creating accurate and meaningful data mappings.

Data Modeling

Data modeling defines the structure and relationships of data, providing a blueprint for data mapping.

Number of organizations that mention technology

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Which job functions commonly mention Data Mapping?

Software Architect

59 Software Architect jobs mention Data Mapping

View 59 jobs on Sumble

Data Analyst

178 Data Analyst jobs mention Data Mapping

View 178 jobs on Sumble

Data, Analytics & Machine Learning

243 Data, Analytics & Machine Learning jobs mention Data Mapping

View 243 jobs on Sumble

Software Engineer

343 Software Engineer jobs mention Data Mapping

View 343 jobs on Sumble

Engineer

440 Engineer jobs mention Data Mapping

View 440 jobs on Sumble

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Which organizations are mentioning Data Mapping?

Amgen

Health Care and Social Assistance

12 team
mention Data Mapping

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60 people
use Data Mapping

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PwC

Professional Services

11 team
mention Data Mapping

↗

495 people
use Data Mapping

↗

bp

Utilities

8 team
mention Data Mapping

↗

60 people
use Data Mapping

↗

PwC Acceleration Centers in India

Professional Services

7 team
mention Data Mapping

↗

17 people
use Data Mapping

↗

Raymond James

Finance and Insurance

7 team
mention Data Mapping

↗

11 people
use Data Mapping

↗

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