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Zingg Zingg provides a sophisticated solution for fuzzy matching that is crucial in industries like sports, where dirty data is common Thanks to that, we’ve seen 10-15% of our records successfully consolidate into one profile—this has been a huge win for us
Step-By-Step Guide | Zingg Zingg needs a configuration file that defines the data and what kind of matching is needed You can create the configuration file by following the instructions here
Welcome To Zingg Zingg is a quick and scalable way to build a single source of truth for core business entities With Zingg, the analytics engineer and the data scientist can quickly integrate data silos and build unified views at scale!
Entity Resolution in Snowflake - Zingg Zingg takes care of data preprocessing, attribute and record level similarity definition and scalability Thus we can use our customer, supplier, supplies, product, and parts data for critical business analytics and operations without worrying about missing or incomplete information
Frequently Asked Questions - Zingg Zingg's identity resolution is far more powerful than what is offered by any out of the box CDP Zingg Enterprise's probabilistic and deterministic matching take this further beyond Here is an article describing how you can build your own CDP on the warehouse with Zingg
Running On Databricks | Zingg For running the Zingg Community version on Databricks: This uses the Zingg Community Python API and an example notebook and a step by step guide is available
Working With Python | Zingg Instead of configuring Zingg using JSON, we can now use Python to build and run Zingg entity and identity resolution programs This is handy when you want to run Zingg on an existing Spark cluster
Community Python API - Zingg Community Zingg Entity Resolution Python Package Community Zingg Python APIs for entity resolution, identity resolution, record linkage, data mastering and deduplication using ML (https: www zingg ai)
Zingg Team Zingg Team building open source software for Entity and identity Resolution For Databricks, Snowflake, GCP, AWS, Big Query, Fabric And Other Data Platforms
Celebrating 3 Years of Open Source Entity Resolution! When I open sourced Zingg three years ago, Entity Resolution felt like an esoteric problem While I had personally experienced the issue of unharmonized records, it was hard to say if I was an outlier or if this was a much more common problem