Enriching Your Postal Addresses With the Elastic Stack - Part 2
Blog post from Elastic
In the second part of a series on enriching postal addresses using the Elastic Stack, David Pilato explores how to utilize the BANO dataset for efficient address lookup and enrichment. The blog demonstrates querying the BANO index with Logstash to search for French postal addresses using both text-based and geo-point searches, optimizing search efficiency by leveraging department numbers. Pilato introduces a Logstash enrichment pipeline that enables hot-reloading to improve developer efficiency and outlines how to use the elasticsearch-filter-plugin to integrate Elasticsearch queries into Logstash for enriching datasets with location-based data. He also addresses the complexity of French postal codes, particularly those starting with '97', and provides solutions for handling them efficiently within the pipeline. Finally, he suggests practical applications of this technique for enriching existing datasets, setting the stage for further exploration in the series.
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