Course outline for Apache Solr
About Apache Solr
Pre-requisites for learning Apache Solr
- Working knowledge of Relational Databases like MariaDB
Lab Setup
- Hardware Configuration
- 2GB of free RAM, 20GB of free disk space and full network connectivity
- Software Configuration
- Ubuntu 20.04/22.04 Desktop Edition (sudo/root access required)
Duration
- 2-5 days
Training Mode
Online training for Apache Solr
We provide:
- Instructor led live training
- Self-paced learning with access to expert coaches
- 24x7 access to cloud labs with end to end working examples
All jnaapti sessions are 100% hands-on. All our instructors are engineers by heart. Activities are derived from real-life problems faced by our expert faculty. Self-paced hands-on sessions are delivered via Virtual Coach.
Classroom training for Apache Solr
Classroom sessions are conducted in client locations in:
- Bengaluru
- Chennai
- Hyderabad
- Mumbai
- Delhi/Gurgaon/NCR
Note: Classroom training is for corporate clients only
Detailed Course Outline for Apache Solr
Introduction to Solr
- What is Solr?
- Why to use Solr?
Indexing documents in Solr
- Adding Documents in XML format
- Adding Documents in JSON format
- Adding Documents in CSV format
- DataImportHandler
- AnalysisRequestHandler
- Solr Content Extraction Library (Solr Cell)
- Update Processors
- Deduplication
Searching in Solr
- Request Handlers
- Response Writers
- Input Parameters
- Search Components
- Query Syntax
- Function Queries
- Faceted search
- (Geo)Spatial Search
- Field Collapsing / Result Grouping
- Join
Operation in Solr
- SolrCaching
- SolrPerformanceFactors
- SolrSecurity
- Index Replication
- Built in SolrRequestHandler based SolrReplication
- Unix script based CollectionDistribution
- DistributedSearch
- CollectionRebuilding
- MergingSolrIndexes
- SolrOperationsTools
- SolrJmx and SolrMonitoring
Advanced Tools in Solr
- Carrot2-based Document Clustering
- Language Detection
- Language Translation
- UIMA Natural Language Processing
- Lucene Document Classification Integration
- OpenNLP Natural Language Processing
- Business Rules