How to Use Python API to Index JSON Data in Elasticsearch
This blog post explores how to index Elasticsearch documents from a JSON file using Python API, specifically the Bulk Helpers
Ilaria Petreti
September 6, 2023
How to Deal with Too Many ‘object’ in Pandas from JSON Parsing
We propose and test a way to manage categorical data during the collection and store it directly as numeric types in the JSON.
Ilaria Petreti
March 30, 2022
Efficiently Manage Numeric Ids in JSON and Pandas
In this blog post we make an experimental analysis to identify the best data type to use when dealing with ids.
Anna Ruggero
March 17, 2022
How to manage large JSON efficiently and quickly: multiple files
Tips and tricks to find out efficient and fast ways to read and parse a big JSON file in Python using real-world application
Ilaria Petreti
November 25, 2021
How to manage large JSON files in Python efficiently and quickly
Tips and tricks to find out efficient and fast ways to read and parse a big JSON file in Python using real-world application
Ilaria Petreti
October 13, 2021
We are Sease, an Information Retrieval Company based in London, focused on providing R&D project guidance and implementation, Search consulting services, Training, and Search solutions using open source software like Apache Lucene/Solr, Elasticsearch, OpenSearch and Vespa.
