Apache Solr Training in Richmond

This instructor-led, live training in Richmond (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 that facilitates the searching and indexing of files on 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 SolCloud's features and how they compare to those of conventional master-slave clusters
• Configure a SolCloud centralized cluster
• Automate processes such as communicating with shards, adding documents to the shards, etc.
• Use Zookeeper in conjunction with SolrCloud to further automate processes
• Use the interface to manage error reporting
• 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 heavy hands-on practice

This course introduces students to the Solr platform. Through a combination of lecture, discussion and labs students will gain hands on experience configuring effective search and indexing.

The class begins with basic Solr installation and configuration then teaches the attendees the search features of Solr. Students will gain experience with faceting, indexing and search relevance among other features central to the Solr platform. The course wraps up with a number of advanced topics including spell checking, suggestions, Multicore and SolrCloud.

Duration: 3 days

Audience: Developers, business users, administrators

The course is intended for IT specialist that want to implement a solution that allows for elastic and efficient searching of big data sources. This course uses the newest stable version of Solr, if you wish to use older or unstable version, please contact sales before booking.