Training

Two-day training workshops will precede Lucene Revolution. Classes will be offered May 7-8.

Scaling    Search    with    Big Data   and   Solr

Scaling Search with Big Data and Solr is a 2 day instructor-led, hands-on classroom training course delivered by instructors certified by Lucid in a both classroom and virtual classroom settings.

This Course Covers

We'll start with Hadoop from the ground up, and cover MapReduce, HDFS - the Hadoop Distributed File System, cluster management, "the shuffle," etc., before continuing on to connecting it to Solr. We'll look at common use cases for generating search indexes from big data, typical patterns for the data processing workflow, and how to make it all work reliably at scale. We will explore in-depth an example of processing 1 billion records to create a faceted Solr search solution. You'll learn how Solr can be used as a NoSQL solution, and how it compares to classic NoSQL projects such as Cassandra and HBase.

Who Should Attend?

The class is for Solr developers who want to know how to leverage the flexible search functionality of Apache Solr and the Big Data processing of Apache Hadoop, to create the indexes for both general search and augmented data analytics. Lab exercises and real-world examples will be used to reinforce content.

Prerequisites

To get the most from this course you should have experience developing developing Solr applications and with Java development. We also recommend completing "Developing Search Applications with Solr" and relevant work experience before taking this class.

Duration

The class is 2 days, 9AM-5PM daily with a 1 hour break for lunch.

Format

Instructor-led lectures with hands-on lab exercises, examples & demonstrations.

Course Materials
Participants will receive an electronic copy of all slides and handouts, as well as links to other resources and downloads.

Pricing options and registration, coming soon.

Cancellation Policy

Registration for this class can be cancelled up to 14 calendar days in advance of the class date for either a full refund, or credit towards another class. No credit or refund can be given for no-shows, or class registrations cancelled less than 14 calendar days prior to a class date.

 

Solr 101: Building a Basic Search Application With Solr

Solr 101: Building a Basic Search Application with Solr is a 2 day instructor-led, handson classroom training course written and led by Lucid Certifi ed instructors. This class is designed to expose developers, search specialists and system administrators with little or no Solr development experience to implementing Solr’s core feature set. Starting with a download from the Apache Solr project site we will guide you step-by-step through the process of building a fully functional search application.

The Course Covers

  • Installing and running Solr
  • Schema design
  • Adding & deleting content
  • Using common query types & query parameters
  • Faceting & filtering
  • Improving the quality of your search results
  • Using APIs to import content & to execute queries
  • Solr configuration & administration

Who Should Attend?

This course is intended for search developers, system administrators and web developers with little or no Solr development experience.

Prerequisites

  • Familiarity with using a command line (console, shell) to execute basic commands.
  • Experience developing web applications in Java, PHP, Ruby or similar languages.

Duration

The class is 2 days, 9AM-5PM daily with a 1 hour break for lunch.

Course Materials

Participants receive an electronic copy of the course materials.

Pricing options and registration, coming soon.

Cancellation Policy

Registration for this class can be cancelled up to 14 calendar days in advance of the class date for either a full refund, or credit towards another class. No credit or refund can be given for no-shows, or class registrations cancelled less than 14 calendar days prior to a class date.

 

Solr 201: Developing Search Applications With Solr

Solr 201: Developing Search Applications With Solr is a 2 day instructor-led, hands-on classroom training course designed and developed by the engineers that helped write the Lucene/Solr code, and delivered by instructors certified by Lucid in a shared classroom setting.

The objective of this course is to provide you with the in-depth information to implement Solr search engine technologies. Through a combination of lectures, hands-on lab exercises and example tutorials you will learn to apply best practices to develop scalable, high availability and high performance search applications.  There will be time for questions and discussion to enhance your learning experience. At the end of the course you will understand how to set up and use Solr to index and search, how to analyze and solve common problems, and how to use optional Solr modules such as facets, spell check, and highlighting.

The Course Covers

  • Principals of search application development
  • Common search use cases and their application
  • How to make content searchable
  • Key Solr and Lucene concepts
  • Basics of indexing and searching using Solr
  • How to design and run a Solr application
  • Best practices for indexing, searching and performance
  • Techniques to analyze and resolve common search problems
  • How to leverage Solr’s optional modules including spell checking, highlighting, Data Import Handler, Tika Integration and other popular capabilities
  • Advanced topics in designing Solr apps and running a site
  • Solr operations and deployment tools and strategies
  • How to customize and extend Solr

Who Should Attend?

  • Developers needing a deep understanding of Solr and how to develop Solr search applications
  • Existing Solr users looking to fill-out their skill set
  • IT managers and architects that are implementing search or e-commerce applications
  • Technical and business users needing thorough understanding of Solr
  • System administrators

Prerequisites

Some programming skill and experience with a modern programming language such as Java, PHP, Perl, Ruby, .NET, or any language that supports HTTP and/or XML. 

Format

Instructor-led lectures accompanied by hands-on lab exercises, examples, and tutorials.

Duration

The class is 2 days, 9AM-5PM daily with a 1 hour break for lunch.

Course Materials

Participants receive an electronic copy of the course materials.

Pricing options and registration, coming soon.

Cancellation Policy

Registration for this class can be cancelled up to 14 calendar days in advance of the class date for either a full refund, or credit towards another class. No credit or refund can be given for no-shows, or class registrations cancelled less than 14 calendar days prior to a class date.




Apache Lucene, Lucene, Apache Solr, Solr, Apache Hadoop and Hadoop are trademarks of The Apache Software Foundation.