SPARKER

Maximising data quality through Entity Resolution

SparkER is a Data Cleaning web platform helping solve the key issues in Big Data integration of Big Data such as deduplication, record linkage, reference matching, and disambiguation.

SparkER is the tool for Entity Resolution that integrates data with different formats, distributed on different systems and updated at different timelines.

FEATURE

Utility

SparkER is the Entity Resolution Framework developed by DataRiver to perform Data Cleaning through a progressive learning process that combines Machine Learning techniques with the irreplaceable knowledge and skills of the domain expert.

Identification of mappings within the sources to improve data usability

An efficient and scalable tool, faster than the tools currently available on the market

Progressive Learning process consisting of Machine Learning algorithms that learn from data and exploit the knowledge provided by human experts (Human Expert Knowledge)

A configurable platform, with similarity functions optimized for the specific use case

RELATED SOLUTIONS

The solutions

Data Cleaning

Big Data Integration & Analytics

RELATED CASES

Case studies

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