Data Engineering – DATANOMIQ AI

Merge of data from different systems using Fuzzy Matching

Post author:Aunkofer
Post category:Artificial Intelligence Big Data und Analytics Data Engineering Data Migration Data Science
Post last modified:June 21, 2023

A fuzzy matching was used to combine the data from the two different sources. A selection of fuzzy string-matching algorithms was tested, for example Jaro-Winkler Distance, Levenshtein distance, Soundex or cosine similarity. The open-source algorithms can be very efficient and there is a selection to choose from depending on the use case.

Data Assessment

Post author:Aunkofer
Post category:Artificial Intelligence Big Data und Analytics Business Intelligence Data Engineering Data Migration Data Science Datensicherheit Datenstrategie Deep Learning Process Mining
Post last modified:June 21, 2023

Nowadays, companies are not only evaluated according to their sales and profits, but also according to their data. Many organizations are far from satisfied with their data management, the business…

Google Cloud Run – Tutorial

Post author:Aunkofer
Post category:Automatization Cloud Data Engineering Infrastructure as Code
Post last modified:June 21, 2023

There are occasions when one or more serverless functions are not sufficient to represent a service. For these cases, there is Google Cloud Run on the Google Cloud Platform. Cloud…