This was the first time I did remote training ever. It went well, better than I expected.
The pace was just right.
Greg Noseworthy - Employment and Social Development Canada.
Apache Solr search platform training
|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|
|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. This course uses the newest stable version of Solr, if you wish to use older or unstable version, please contact sales before booking. 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|
|solrcloud||SolrCloud||14 hours||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 Introduction How SolrCloud compares with other tools (ElasticSearch, etc.) Search engine fundamentals Overview of Apache Lucene and Solr Searching and indexing Understanding sharding and replication How SolrCloud works Commit strategies Cluster coordination Writing slide-fault tolerance Working with Apache ZooKeeper Managing Solr config files Closing remarks|
|drupalsolr||Drupal and Solr||14 hours||Configuring Solr and Drupal Setting up Solr Configuring the Search API server Customizing the Solr configuration Overview of possible drupal extensions search_api_solr VS apachesolr d7 vs d8 Solr versions support Faceted Search Taxonomy Facets Display facets on non-search pages Sarnia Data Alternations Bundle filter Language control Node access URL field Aggregated fields Complete entity view Index hierarchy Pre-processors Ignore case HTML filter Tokenizer Stopwords Highlighting Transliteration Search with or without accents Spellchecker Views Spellcheck field Suggestions Titles of selected content types Priority suggestions added via the admin interface Surfer searches Multiple site search File and document search OCR solution Apache Solr Attachments with Tika Scaling - sharding and clustering Backups|