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ISSN : 09765166 ISSN : 22313850Kari Ventral et al. / Indian Journal of Computer Science and Engineering (IJ CSE)PRAGMATIC AND SCALABLE REDUPLICATION TACTICS USING HEURISTIC PRUNING ALGORITHM Kari
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How to fill out pragmatic and scalable deduplication
How to fill out pragmatic and scalable deduplication
01
Define the criteria for identifying duplicates such as exact match or fuzzy matching
02
Utilize advanced algorithms like hashing or machine learning models to identify duplicate records
03
Implement a scalable infrastructure to handle large volumes of data and perform deduplication efficiently
04
Regularly monitor and evaluate the deduplication process to ensure accuracy and optimize performance
Who needs pragmatic and scalable deduplication?
01
Organizations with large databases or datasets that contain duplicate records
02
Businesses looking to improve data quality and accuracy in their CRM systems
03
E-commerce companies dealing with duplicate customer profiles and orders
04
Research institutions managing extensive datasets with potential duplicates
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What is pragmatic and scalable deduplication?
Pragmatic and scalable deduplication is a process of removing duplicate records or entries from a database or dataset in a practical and efficient manner.
Who is required to file pragmatic and scalable deduplication?
Any organization or individual with a database or dataset containing duplicate records is required to file pragmatic and scalable deduplication.
How to fill out pragmatic and scalable deduplication?
Pragmatic and scalable deduplication can be filled out by using automated tools or software designed for detecting and removing duplicate entries.
What is the purpose of pragmatic and scalable deduplication?
The purpose of pragmatic and scalable deduplication is to ensure data accuracy, improve data quality, and optimize database performance by eliminating duplicate records.
What information must be reported on pragmatic and scalable deduplication?
The information reported on pragmatic and scalable deduplication includes the number of duplicate records identified, the method used for deduplication, and any data cleansing procedures performed.
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