Apache Solr Training Certification Course

SKU: 2167
9 Lesson
|
40 Hours
igmGuru offers the best Apache Solr Training Program worldwide for learners of all levels. Our training includes key topics such as Solr installation and setup, schema design, indexing strategies, query parsers, faceting and filtering, relevancy tuning, SolrCloud and distributed search, performance optimization, security, and many more. The course content of our Apache Certification Course is designed by industry experts with over 10 years of experience in search technologies, big data, and enterprise-scale implementations.

Overview

Enroll now in our Apache Solr course to gain hands-on knowledge through live interactive sessions, real-world indexing and search projects, and personalized mentorship. The course is fully aligned with the latest enterprise search and information retrieval practices, enabling you to confidently build, scale, and manage high-performance search applications with precision and efficiency.

Prerequisites

  • Familiarity with working on Linux/Windows command line
  • Understanding of web technologies
  • Programming Knowledge (Preferred)
  • Database and Data Concepts

What Will You Learn

  • Install and configure Solr in different environments.
  • Understand Solr architecture, cores, collections, and the Admin UI.
  • Define fields, field types, analyzers, and tokenizers.
  • Index structured, semi-structured, and unstructured documents.
  • Use query parsers (Standard, DisMax, eDisMax) for flexible search.
  • Apply filters, facets, boosting, sorting, highlighting, and spell-check.
  • Implement “More Like This,” auto-suggestions, and geo-spatial search.
  • Optimize relevancy tuning and query performance.
  • Understand sharding, replication, and leader election in SolrCloud.
  • Use ZooKeeper for cluster coordination and fault tolerance.
  • Configure caching, merging, and commit strategies for performance.
  • Implement authentication, authorization, and SSL encryption.
  • Connect using SolrJ and REST APIs.
  • Integrate Solr with external systems, databases, and big data tools.

Key Features

Course Curriculum

1. What is Lucene? Architecture, core concepts
2. Inverted index, posting lists, term statistics
3. Overview: Solr vs. Lucene
4. Solr features, use cases, comparisons with relational DBs
1. Downloading, unpacking, and running Solr
2. Solr directory structure and key files
3. Starting / stopping Solr
4. Admin UI and basic walkthrough
1. Schema definition (schema.xml, managed schema)
2. Field types, dynamic fields, copy fields
3. Tokenizers, analyzers, filters (charFilters, tokenFilters)
4. Indexing documents (XML / JSON / CSV / CSV / via API)
5. Partial updates, atomic updates
6. Handling nested / child documents
1. Query syntax, query parsers (Standard, DisMax, eDisMax)
2. Common query parameters (q, fq, sort, fl, rows, start, etc.)
3. Local parameters and param dereferencing
4. Boosting, relevancy tuning
5. Filtering, faceting, aggregation
6. Highlighting, spell-check, suggestions
7. MoreLikeThis, “More Like This” queries
8. Grouping and collapsing
9. Spatial / geo-search
10. Streaming expressions, vector / similarity-based queries
1. Query Re-ranking, learning-to-rank
2. Request handlers, search components
3. JSON facets, analytics component
4. Extensions and plugins
5. Integration with Apache Tika for rich document indexing
6. Real-time get, soft commits, commit strategies
1. SolrCloud architecture: shards, replicas, leaders
2. ZooKeeper coordination, cluster state
3. Collection APIs, aliasing, splitting shards
4. Replica placement, shard management, replication
5. Fault tolerance, recovery, leader election
6. Scaling strategies
1. JVM tuning, memory and GC settings
2. Indexing performance: buffer sizes, threads
3. Caches: filterCache, queryResultCache, documentCache
4. Cache warming, cache invalidation
5. Query optimization, cost-based approaches
6. Replication throttling, merging policies
7. Monitoring and metrics (JMX, built-in metrics, tools)
1. Solr config files: solrconfig.xml, solr.xml, configsets
2. Config API and schema API
3. Backup & restore strategies
4. Upgrading a Solr instance / cluster
5. Logging, debug, diagnostics
6. Securing Solr: authentication, authorization, SSL, audit logging
7. Managing multiple cores
8. Disaster recovery
1. SolrJ (Java client)
2. HTTP / REST API usage (JSON / XML)
3. Client libraries in other languages (Python, Node.js, etc.)
4. Building search UIs / front-ends
5. Indexing from external systems (e.g. relational DBs, message queues)
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Course Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 40 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 07 Jun 2026
  • Weekday Batch 08 Jun 2026
  • Weekend Batch 13 Jun 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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Apache Solr Certification

igmGuru provides a Course Completion Certificate upon successfully finishing the Apache Solr Training. This certificate validates your hands-on experience with Solr, including indexing, querying, SolrCloud, and performance optimization.

Apache Solr Certification

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