Online Apache Solr Training in New Zealand

This instructor-led, live training in New Zealand (on-site or remote) is designed for developers who wish to learn how to use Solr for advanced development.

By the end of this training, participants will be able to:

• Tune and scale Solr and SolrCloud.
• Streamline the monitoring of log files.
• Integrate plugins for both indexing and query-time operations.
• Create optimised clusters capable of handling thousands of queries per second.

Apache SolrCloud is a distributed data processing engine designed to facilitate the searching and indexing of files across a distributed network.

In this instructor-led, live training, participants will learn how to set up a SolrCloud instance on Amazon AWS.

By the end of this training, participants will be able to:

• Understand SolrCloud's features and how they compare to those of conventional master-slave clusters
• Configure a SolrCloud centralised cluster
• Automate processes such as communicating with shards, adding documents to the shards, and more
• Leverage Apache ZooKeeper in conjunction with SolrCloud to further automate workflows
• Use the interface to manage error reporting
• Load balance a SolrCloud deployment
• Configure SolrCloud for continuous processing and failover

Audience

• Solr Developers
• Project Managers
• System Administrators
• Search Analysts

Course format

• Combination of lecture, discussion, exercises, and extensive hands-on practice

This course introduces participants to the Solr platform. Through a blend of lectures, discussions, and hands-on labs, students will gain practical experience in configuring effective search and indexing solutions.

The course begins with fundamental Solr installation and configuration, then guides attendees through Solr’s search capabilities. Participants will gain experience with faceting, indexing, and search relevance, alongside other core features of the Solr platform. The course concludes with advanced topics such as spell checking, suggestions, Multicore, and SolrCloud.

Duration: 3 days

Audience: Developers, business users, administrators