Online Apache Solr Training in Taiwan

This instructor-led, live training in Taiwan (onsite or remote) is aimed at developers who wish to know 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 monitor log files.
• Integrate index and query time plugins.
• Create optimized clusters that handle thousands of queries per second.

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

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 the features of SolrCloud and how they compare to traditional master-slave clusters
• Set up a centralized SolrCloud cluster
• Automate tasks such as communication with shards and adding documents to them
• Use Zookeeper in conjunction with SolrCloud to further automate processes
• Manage error reporting through the interface
• Load balance a SolrCloud installation
• Configure SolrCloud for continuous processing and fail-over

Audience

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

Format of the course

• Part lecture, part discussion, exercises, and extensive hands-on practice

This course provides an introduction to the Solr platform. Through a mix of lectures, discussions, and hands-on labs, students will gain practical experience in configuring effective search and indexing.

The class starts with basic Solr installation and configuration, then delves into the platform's search features. Students will explore facets such as faceting, indexing, and search relevance, among other core functionalities of Solr. The course concludes with advanced topics like spell checking, suggestions, Multicore, and SolrCloud.

Duration: 3 days

Audience: Developers, business users, administrators