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OttovonGuerickeUniversitat Magdeburg Faculty fur Information B SE Databases and Software Engineering Masters ThesisParallel Entity Resolution with Spark Author:Savant Martha November 7, 2016, Advisors:Dr.
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How to fill out parallel entity resolution with

01
Identify the entities that need to be resolved in parallel.
02
Determine the criteria for matching the entities.
03
Utilize a parallel processing system to compare and match entities simultaneously.
04
Resolve any conflicts or discrepancies in the matched entities.
05
Validate the accuracy of the resolved entities.

Who needs parallel entity resolution with?

01
Data scientists working on entity linkage tasks.
02
Companies handling large volumes of data needing efficient entity resolution.
03
Researchers studying complex relationships between entities.
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Parallel entity resolution typically involves the process of identifying and matching entities from different sources based on common attributes.
Any organization or entity that needs to match and resolve data from multiple sources may be required to file parallel entity resolution.
To fill out parallel entity resolution, one must collect and input data from various sources, compare the attributes, and resolve any conflicts or inconsistencies.
The purpose of parallel entity resolution is to ensure accurate and consistent data integration across different sources.
The information reported on parallel entity resolution typically includes entity identifiers, attributes, and any matched results.
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