Training: Elasticsearch for eCommerce
| Duration | Price | Location |
|---|---|---|
| 2 days. | 1980 € excl. tax/person | Station F, 5 Parvis Alan Turing, 75013 Paris or via videoconference |
Objectives
This 2 day training is built for people willing to use Elasticsearch in a ecommerce context.
It covers Elasticsearch and Kibana key concepts, ecommerce specific data indexation management, advanced and custom search services and suggestions and autocomplete features to improve the user experience.
The students will also learn to implement filters and facets, to improve merchandising, to monitor search relevance and prepare the future with artificial intelligence and natural language processing (NLP).
Audience
This training is targeted to developers architects, tech leads, team leads, scrum masters, product managers, product owners, who need to integrate Elasticsearch in their ecommerce platforms.
All our courses are accessible to people with disabilities.
Curriculum
Day 1
Introduction to Elasticsearch
- Elasticsearch presentation
- Architecture and key concepts
- Why use for ecommerce?
Kibana
- Kibana interface exploration
Indexing ecommerce data
- Documents and indices presentation
- Indexing products, categories and users data
- Updating, deleting and getting documents
- Bulk API for mass indexing
Basic Search
- Usage of the Search API
- Simple and multi-match queries, attribute filtering
- Pagination and result sorting
Advanced Search Services
- Field weighting
- Boosting exact phrases or other exact matches (accents, synonyms, etc.)
- Boosting certain categories, products, properties
- Customization
- Handling multi-term searches
Day 2
Suggestions and Autocompletion
- Implementation of autocompletion for product and category searches
- “Did you mean” service
- Spelling correction
Facets and Filters
- Term-type facets (brands, colors, sizes,)
- Range-type facets (prices, bulk quantities)
- Date-type facets
- Improving facet relevance
Other E-commerce Services
- Redirection
- Best bets
- Navigation service
Enhancing Merchandising
- Monitoring the relevance of performed queries
- Strategies against zero results
- Deduplicating results in a marketplace
The Future with AI
- Introduction to NLP (Natural Language Processing)
- New techniques with Elasticsearch 8.x
Introduction to Elasticsearch
- Presentation of Elasticsearch
- Architecture and key concepts
- Usage and application cases
More information
Next sessions
- Thursday 28th and Friday 29th March
- Thursday 16th and Friday 17th May
- Or on demand
Prerequisites
- Notions of software architecture
- JSON and REST APIs
Teaching Method
- Presentation and demonstrations 40%
- Practical exercises 40%
- Questions / Answers 20%
Evaluation Method
The training includes between 8 and 12 sessions of practical exercises. The participant’s progress during and at the end of the training will be assessed based on their success level in these practical exercises.
Instructors
- Vincent Brehin
- Expert Consultant in Solr, Elasticsearch and OpenSearch - LinkedIn
- Benjamin Dauvissat
- Expert Consultant in Solr, Elasticsearch and OpenSearch - LinkedIn
- blog articles
- Aline Paponaud
- Expert consultant in Elasticsearch and OpenSearch - LinkedIn
- Lucian Precup
- Technical Director and Principal Consultant - LinkedIn
- blog articles
For more information, feel free to contact us.
Register