Apache Solr Training in Jacksonville

Apache Solr Training in Jacksonville
Apache Solr search platform training

FL, Jacksonville - Bank of America Tower

50 N. Laura Street Suite 2500
32202 Jacksonville , FL
United States
Florida US
 FL, Jacksonville - Bank of America Tower
The office is located in a premier office tower in Downtown Jacksonville on the 42nd floor. This Class A LEED Certified building is situated in the Northbank...Read more

Apache Solr Course Events - Jacksonville

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
drupalsolr Drupal and Solr FL, Jacksonville - Deerwood Park 14 hours Wed, Feb 22 2017, 9:30 am $3550 / $5510
solrfts Apache Solr - Full-Text Search Server FL, Jacksonville - Deerwood Park 14 hours Mon, Mar 13 2017, 9:30 am $2800 / $4760
drupalsolr Drupal and Solr FL, Jacksonville - Deerwood Park 14 hours Wed, May 10 2017, 9:30 am $3550 / $5510
solrfts Apache Solr - Full-Text Search Server FL, Jacksonville - Deerwood Park 14 hours Wed, May 24 2017, 9:30 am $2800 / $4760
drupalsolr Drupal and Solr FL, Jacksonville - Deerwood Park 14 hours Mon, Jul 10 2017, 9:30 am $3550 / $5510
solrfts Apache Solr - Full-Text Search Server FL, Jacksonville - Deerwood Park 14 hours Thu, Jul 13 2017, 9:30 am $2800 / $4760

Course Outlines

Code Name Duration Outline
solrfts Apache Solr - Full-Text Search Server 14 hours

The course is intended for IT specialist that want to implement a solution that allows for elastic and efficient searching of big data sources.

Introduction

  • Apache Lucene
  • What is Solr
  • Installation

Schema and textanalysis

  • Schema modeling
  • schema.xml Configuration
  • Text analysis

Working with index

  • Importing data from other resources
  • Indexing documents
  • Querying Solr API

Searching

  • Basics of querying
  • Sorting and Filtering
  • Using scoring
  • Functions
  • Request handling
  • Formatting Solr response
  • Faceting

Advanced topics

  • Configuring and deploying Solr
  • Integrating Solr with other libraries/technologies
  • Search components
  • Solr and scaling issues
drupalsolr Drupal and Solr 14 hours
  • Configuring Solr and Drupal
  • Faceted Search
  • Data Alternations
  • Pre-processors
  • Transliteration
  • Spellchecker
  • Suggestions
  • Multiple site search
  • File and document search
  • OCR solution
  • Scaling - sharding and clustering
  • Backups
solrdev Solr for Developers 21 hours

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

Overall Goal

Provide experienced web developers and technical staff with a comprehensive introduction to the Solr search platform. Teach software developer deep skills creating search solutions.

I. Fundamentals

  • Solr Overview
  • Installing and running Solr
  • Adding content to Solr
  • Reading a Solr XML response
  • Changing parameters in the URL
  • Using the browse interface
  • Labs: install Solr, run queries

II. Searching

  • Sorting results
  • Query parsers
  • More queries
  • Hardwiring request parameters
  • Adding fields to default search
  • Faceting
  • Result grouping
  • Labs: advanced queries, experiment with faceted search

III. Indexing

  • Adding your own content to Solr
  • Deleting data from solr
  • Building a bookstore search
  • Adding book data
  • Exploring the book data
  • Dedupe update processor
  • Labs: indexing various document collections

IV. Schema Updating

  • Adding fields to the schema
  • Analyzing text
  • Labs: customize Solr schema

V. Relevance

  • Field weighting
  • Phrase queries
  • Function queries
  • Fuzzier search
  • Sounds-like
  • Labs: implementing queries for  relevance

VI. Extended features

  • More-like-this
  • Geospatial
  • Spell checking
  • Suggestions
  • Highlighting
  • Pseudo-fields
  • Pseudo-joins
  • Multilanguage
  • Labs: implementing spell checking and suggestions

VII. Multicore

  • Adding more kinds of data
  • Labs: creating and administering cores

VIII. SolrCloud

  • Introduction
  • How SolrCloud works
  • Commit strategies
  • ZooKeeper
  • Managing Solr config files
  • Labs: administer SolrCloud

IX. Developing with Solr API

  • Talking to Solr through REST
  • Configuration
  • Indexing and searching
  • Solr and Spring
  • Labs: code to read and write Solr index, exercise in Spring with Solr

X. Developing with Lucene API

  • Building a Lucene index
  • Searching, viewing, debugging
  • Extracting text with Tika
  • Scaling Lucene indices on clusters
  • Lucene performance tuning
  • Labs: coding with Lucene

XI. Conclusion

  • Other approaches to search
    • ElasticSearch
    • DataStax Enterprise: Solr+Cassandra
    • Cloudera Solr integration
    • Blur
  • Future directions

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