Data mapping is the process of creating data element mappings between two distinct data models, which is essential for data integration, transformation, and migration tasks. It ensures consistency and accuracy in data exchanges by defining how data fields from a source system correspond to data fields in a target system.

Data Mapping

Data mapping

data element mappings

Data models are abstract representations that define the structure, organization, and constraints of data within a database system, facilitating efficient data management and retrieval. They act as a blueprint for designing databases, ensuring data integrity, consistency, and accessibility across various applications.

data models

Data integration is the process of combining data from different sources to provide a unified view, which is crucial for accurate analysis and decision-making. It involves overcoming challenges like data silos, format discrepancies, and ensuring data consistency and quality across systems.

data integration

Data transformation is the process of converting data from one format or structure into another, making it more suitable for analysis or integration. It is a crucial step in data processing that enhances data quality and accessibility, ensuring that data is consistent, reliable, and ready for downstream applications.

Data Transformation

Data migration tasks

data exchanges

source system

target system

Consistency in data exchanges

accuracy in data exchanges

Defining data fields

Corresponding data fields

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