1 / 8

How to Perform Data Dictionary Mapping for Seamless Data Integration

Learn how to perform data dictionary mapping in four clear steps: define integration scope, collect accurate metadata, clean and standardize data, and map relationships. Ensure smooth, error-free data integration across systems.

statswork
Télécharger la présentation

How to Perform Data Dictionary Mapping for Seamless Data Integration

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. How to Perform Data Dictionary Mapping for Seamless Data Integration Group: statswork.com Email: info@statswork.com

  2. Introduction to Data Dictionary Mapping • Data integration across systems is continuous in today’s environment. • Data dictionary mapping ensures consistency and accuracy across platforms. • This process aligns data elements from collecting and receiving systems. info@statswork.com +91 8754467066 statswork.com • Copyright © 2025 Statswork

  3. What is Data Dictionary Mapping? • It matches data fields from one system’s dictionary to another’s. • A data dictionary catalogs metadata like name, type, and allowed values. • E.g., mapping DOB from one system to Birth_Date in another ensures consistency. info@statswork.com +91 8754467066 statswork.com • Copyright © 2025 Statswork

  4. Importance and Benefits of Data Dictionary Mapping • Poor mapping leads to errors, data loss, or compliance risks. • Ensures accurate data integration and integrity across systems. • Helps with interoperability, compliance, onboarding, and vendor transitions. info@statswork.com +91 8754467066 statswork.com • Copyright © 2025 Statswork

  5. Determine Scope and Objectives • Clarify which systems and data domains are being integrated. • Define if the goal is migration, synchronization, or standardization. • Align the mapping service with clear business requirements. info@statswork.com +91 8754467066 statswork.com • Copyright © 2025 Statswork

  6. Gather Dictionaries & Normalize Metadata • Obtain data dictionaries or build one using profiling if missing. • Collect field names, types, constraints, and relationships. • Normalize metadata by removing duplicates and standardizing terms. info@statswork.com +91 8754467066 statswork.com • Copyright © 2025 Statswork

  7. Identify Mapping Relationships • Determine relationships: one-to-one, one-to-many, etc. • Apply transformation logic where formats differ (e.g., date formats). • Use mapping tables/spreadsheets to track relationships and rules. info@statswork.com +91 8754467066 statswork.com • Copyright © 2025 Statswork

  8. Contact Us WEBSITE STATSWORK.com INDIA +91 8754467066 EMAIL info@statswork.com • Copyright © 2025 Statswork

More Related