Curated Learning Resources
Master Data Management, how to match and merge records to unify your dataMaster Data Management aims at creating a single source of truth for different entities. At the heart of MDM projects lies the concept of matching and merging records to unify data. This involves identifying duplicate records that represent the same real-world entity and combining them into a single record. Matching and merging records accurately is crucial for MDM to provide a consistent view of data across systems. Effective techniques include string comparisons, phonetic algorithms and Machine Learning models to identify duplicate records and consolidate them. With MDM, businesses can gain a unified view of critical data for improved Decision Making and Analytics.
Related Skills
- ROI for Data Work
- MLOps Platforms
- Prioritization for Data Work
- Structuring Data Teams
- Effective Dashboards
- SQL
- Machine Learning
- Data Science Career Ladders
- Data Engineering
- Neural Networks
- Analytics
- Analysis Documentation
- Data Infrastructure
- Cohort Analysis
- Data Tools
- ETL
- Data Soft Skills
- Data Dictionary
- Data Roadmaps
- Event Data
- Personalization
- OCR
- Data Warehouse
- Deep Learning
- Sampling Algorithms
- Data Intuition
- Linear Regressions
- Data Cleaning
Sign Up
Sign In
