Match & Merge
Match and Merge in ETL (Extract, Transform, Load) tools is a feature that identifies and combines duplicate or similar records from multiple data sources during the data integration process. It uses algorithms to match records based on predefined criteria, such as names, addresses, or other key attributes, and merges them into a single, consistent record. This process helps improve data accuracy and integrity by eliminating redundancies and ensuring that only unique, consolidated data is loaded into the target system. The Match and Merge feature is essential for maintaining clean, reliable datasets for analysis and reporting.
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Rajat Gupta is the founder of Spotsaas, where he reviews and compares software tools that help businesses work smarter. Over the past two years, he has analyzed thousands of products across CRM, HR, AI, and finance — combining real-world research with a strong foundation in commerce and the CFA program. He's especially curious about AI, automation, and the future of work tech. Outside of SpotSaaS, you'll find him on a badminton court or tracking the stock market.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].