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Everything about Data mapping

Process of linking data objects in distinct models

In computing and data management, data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used as a first step for a wide variety of data integration tasks, including:Data transformation or data mediation between a data source and a destination Identification of data relationships as part of data lineage analysis Discovery of hidden sensitive data such as the last four digits of a social security number hidden in another user id as part of a data masking or de-identification project Consolidation of multiple databases into a single database and identifying redundant columns of data for consolidation or elimination Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Data mappingA 5-minute orientation
  2. Skim a recent paper: Mapping cellular interactions from spatially resolved transcriptomics dataInfluential work since 2022
  3. Pick up a classic book: BrandmapsThe most-reprinted book on the subject
  4. Read the landmark paper: Mapping Fishing Effort through AIS DataCited 264 times
  5. Go sideways: Vocabulary-based transformationA closely related topic
  6. Go sideways: Semantic mapperA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics