Search, Full Text Search & Elasticsearch - Elastic Meetup

The talk is divided into three engaging segments:
1) Why Search is Important: Explore the significance of search in various aspects of our lives, from messaging apps like WhatsApp to search engines like Google. Understand how search has become an integral part of modern applications and services.
2) Full Text Search and Its Challenges: Delve into the complexities of full-text search and the associated challenges. Learn how industries address these challenges using various technologies and tools. Get insights into the basics of text analysis with practical examples.
3) Elasticsearch Unveiled: Gain a deeper understanding of Elasticsearch, its role in text analysis, and its applications. Explore real-world examples and how Elasticsearch efficiently handles search and analytics tasks. Uncover the critical role of indexing, tokenization, and text analyzers in Elasticsearch.
🎙️ Speaker: Muhammad Junaid Muzammil, Software Engineer with over 9 years of professional experience and with over 4 years of experience working with Elasticsearch. He is also an Elastic Certified Engineer and one of our active Elastic user group organizers, based in Pakistan, Karachi.
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[@sreenathash]

Currently my project uses Elastic search and we use Scriptted fields. We have a column say TestID which type: Text and the input would be 11123-aw34-4rrty-5555.
However, i get the output of the field as terms due to tokenizing. How to avoid tokenizing for my Text field without changing the type to Keyword or remapping the index. pls help

[@OfficialElasticCommunity]

Hi! please put this question in our forum - discuss.elastic.co/. It will put the question in front of more people that can help out.

[@amitkhulbe]

Nice info