We deeply care about evangelizing and educating the search experts of tomorrow and we believe that building a successful Search system starts from the milestones!
That’s why we just announced the first Apache Solr Beginner Course.
This Apache Solr Beginner Course is the perfect choice if you are searching for a complete course to start a new journey into the Apache Solr world.
You will gain significant and clear understanding of the Information Retrieval systems and high level internal functioning of Apache Solr, all in a just 12 hours course!
Skills you will gain
- Understanding of Information Retrieval systems
- Clear understanding of the Indexing/Searching phase
- Functional understanding of major features of Apache Solr
- High level internal functioning of Apache Solr
- Better debugging/troubleshooting ability
- How Apache Solr works in a distributed cluster
Prerequisites
- Basic understanding of Information Technology
- Attendees need a computer with macOS, Linux or Windows
- Attendees need Java installed on their computer
Intended Audience
Anyone interested in Search, no prior Apache Solr experience required
Price
800 GBP 400 GBP
The course
We developed a full 12 hours course that will cover every important argument everyone that is starting to know Apache Solr should know.
Trainers
Trainers of this course will be our top R&D Software Engineers: Alessandro Benedetti, Apache Lucene/Solr Committer and Andrea Gazzarini, RRE Creator.
Schedule
14 Dec – 03:00 – 07:00 PM (GMT time)
15 Dec – 03:00 – 07:00 PM (GMT time)
16 Dec – 03:00 – 07:00 PM (GMT time)
Apache Solr Beginner Course Programme
Introduction to Information Retrieval and Search Engines
- Key Concepts
- Quality Metrics
- What is Apache Lucene
- What is Apache Solr
Introduction to Solr
- The Solr Document
- The Inverted index
- Add documents
- Update documents
- Remove documents
- Search documents by identifier
- Hands On Exercises
- Start Up Apache Solr
- Index a Books Corpus
- Perform CRUD operations
Indexing
- Data Model Definition (Schema.xml)
- Dymanic fields
- Copy Fields
- Field Type
- Text Analysis
- Char Filters
- Tokenizers
- Token Filters
- Doc Values
- Additional Field Attributes
- Indexing different data types
- Indexing XML data
- Indexing JSON data
- Indexing CSV data
- Indexing binary files (such as Microsoft Word, PDF…)
- SolrJ Java client
- The Indexing Process
- Index Visibility
- Index Durability
- Hands On Exercises
- Text Analysis with the Solr Admin
- Define your data model with the Solr schema.xml
- Indexing data
Searching
- Basic Search GET parameters
- Paging (start, rows)
- Sorting
- Document Fields to display
- Query
- Filter Query
- Query Parsers
- Standard Query Parser
- Solr vs Lucene Query Parser
- Dismax query parser
- Extended dismax query parser
- Other Query Parsers
- Request Handlers
- Search Components
- Caching
- Velocity Search UI
- More Like This
- Results Highlighting
- Autocomplete
- Spellchecking
- Result Grouping
- Debug Query
- Hands On Exercises
- Paging
- Sorting
- Search with different query parsers
- Dismax/Edismax Query Parsers
- Debug query
Data Exploration
- Faceting
- Field Facets
- Query Facets
- Range Facets
- Json Faceting
- Hands On Exercises
- The various type of facets
- Json Faceting
Distributed Apache Solr
- Manual Sharding
- Master/Slave Replication
- SolrCloud
- Hands On Exercises
- Let’s spin up a Solr cluster
Relevance
- Solr Relevance Score
- Learning To Rank
- Function Queries
- Hands On Exercises
- Relevance Tuning
- Function Queries examples
