Training: Apache Solr, Solr Cloud and Zookeeper

Duration	Price	Location
2 days.	1980 € excl. tax/person	Station F, 5 Parvis Alan Turing, 75013 Paris or via videoconference

Objectives

The objective of this training is to teach the concepts, installation, configuration, and use of Apache Solr and Apache Zookeeper to create and manage performant and scalable search systems.

It covers topics such as data indexing and modeling, cluster configuration, text analysis, query management, and improving result relevance.

The training also explores practical cases for implementing specific search services and integrating machine learning technologies such as Apache OpenNLP and Deep Learning.

Audience

This training is intended for developers and lead developers who want to implement, replace, or enhance an advanced search solution in their applications.

All our training sessions are accessible to people with disabilities.

Curriculum

Introduction to Apache Solr

Glossary
Search
Relevance
Data Indexing
Data Modeling
Introduction to Solr Cloud
Ensuring Scalability with Apache Zookeeper

Installation and Operation of Solr and Zookeeper

Installation, Configuration, and Deployment
Scalability and High Availability
Monitoring
Security
Backup and Restoration
Administration Interfaces and APIs

Configuration of Solr and Zookeeper

Configuration Files
Cluster Configuration
Configuration APIs
Plugins

Ensuring Solr Scalability

Solr Cloud Clusters
Zookeeper Configuration
File Management in ZooKeeper
ZooKeeper Preparation before Initial Cluster Startup
Bootstrapping the Startup
Managing SolrCloud Configuration Files

Schema, Text Analysis, and Data Modeling

Solr Schema
Fields and Schema Design
Text Analysis
Indexing and Data Operations

Indexing in Solr

Indexing with Update Handlers
Data Transformation for Indexing
Indexing with Solr Cell and Apache Tika
Partial Updates
Re-indexing
Deduplication
Measuring and Improving Indexing Performance

Solr Search and Queries

Parsers and Query Syntax
Query Enhancement
Controlling Results and Relevance
Facets

Parsers and Advanced Queries

Spatial Search
Joins and Nested Documents
Functions
Advanced Configuration and Fine-tuning of the Extended Dis Max Query Parser

Practical Cases

Implementation of a People Search Service
Implementation of an Auto-Completion Service
Implementation of a “Did You Mean” Service
Implementation of a Proximity Search Service

Integration of Machine Learning Technologies

Apache OpenNLP
Deep Learning and Dense Vector Search

Practice

Practical exercises and evaluation of results
- Solr Installation
- Solr Configuration
- Zookeeper and Solr Cloud Configuration
- Setting up indexes and schema for a simple use case
- Implementation of a search service
- Implementation of specific text analysis for advanced use cases
- Measurement and analysis of relevance issues
- Measurement and analysis of performance issues
- Cluster Backup and Restoration

Additional Information

Upcoming Sessions

Thursday 29th February and Friday 1st March
Thursday 2nd and Friday 3rd May

Or on demand

The specified dates are confirmed. Registration for the training can be done up to 48 hours before the start of the session. For on-demand dates, allow for a delay of up to 14 days.

Prerequisites

Laptop computer with minimum Java 11
IDE and command line terminal

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
Lucian Precup
- Technical Director and Principal Consultant - LinkedIn
- blog articles

For more information, feel free to contact us.