Online Apache Solr Training in Uzbekistan

This instructor-led, live training in Uzbekistan (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 the 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:

• Comprehend SolrCloud's capabilities and how they differ from those of traditional master-slave clusters
• Configure a centralized SolrCloud cluster
• Automate tasks such as communication with shards, adding documents to the shards, etc.
• Leverage Zookeeper to further automate processes within SolrCloud
• Utilize the interface for effective error management
• Balance the load in a SolrCloud installation
• Configure SolrCloud for continuous processing and fail-over scenarios

Audience

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

Format of the course

• A combination of lectures, discussions, exercises, and extensive hands-on practice

This course provides an introduction 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.

The class starts with the basics of Solr installation and configuration, then delves into the search features of Solr. Students will explore various facets such as faceting, indexing, and search relevance, which are essential to the Solr platform. The course concludes with advanced topics including spell checking, suggestions, Multicore, and SolrCloud.

Duration: 3 days

Audience: Developers, business users, administrators