Optimize Mapping you own this product

prerequisites
basic Python • basic Elasticsearch • basic Kibana
skills learned
mapping of different datatype fields in Elasticsearch • evaluating mapped datatype fields using analyzer tools
Jettro Coenradie
1 week · 4-6 hours per week · BEGINNER
Included with a Manning Online subscription
try now

pro $24.99 per month

  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose one free eBook per month to keep
  • exclusive 50% discount on all purchases

lite $19.99 per month

  • access to all Manning books, including MEAPs!

team

5, 10 or 20 seats+ for your team - learn more

Look inside

You’re a software engineer for Sneakers to the Max, an e-commerce company that sells sneakers. Its CEO wants to improve the speed and quality of the company’s search engine in hopes of boosting sales. Your task is to optimize the mappings of the Elasticsearch index. You’ll use the Kibana developer console to analyze the current mapping and create a new custom analyzer. To improve search matches—and customer experience—you’ll use the Elasticsearch field mappings to support multiple uses of the same field. You’ll modify the mappings to help customers find the sneakers they’re looking for, even if their search terms are incomplete or contain typos. To further improve CX, you’ll add synonyms to the Elasticsearch configuration to handle searches that use different terms for the same concept.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Jettro Coenradie

Jettro Coenradie has worked in the search domain for more than 15 years, currently as a search relevance engineer and software architect at Luminis. He’s designed and implemented search solutions for some of the biggest e-commerce companies in the Netherlands and is a valued member of the international Search Relevance Tech community. He served as the technical editor for Manning’s Elasticsearch in Action, 1st edition, and has developed his own Elasticsearch curriculum. He’s shared his expertise in numerous blog posts and conference presentations, including at Devcon and JFall.

prerequisites

This liveProject is for intermediate-level Elasticsearch practitioners interested in learning to improve the speed and quality of search engine results. To begin these liveProjects you’ll need to be familiar with the following:

TOOLS
  • Basic Python knowledge
  • Basic Elasticsearch knowledge
  • Basic Kibana knowledge

features

Self-paced
You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
Each project is divided into several achievable steps.
Get Help
While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.

related titles

choose your plan

pro

monthly
annual
$24.99
$249.99
only $20.83 per month
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Optimize Mapping project for free

team

monthly
annual
$49.99
$399.99
only $33.33 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Optimize Mapping project for free