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Apache Solr Corporate Training Program for Employees
Give your search and backend engineering teams the skills to build, scale, and tune fast, relevant Apache Solr search, through instructor-led corporate training customized to your data and search use cases.
(Virtual / On-site / Off-site)
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What is Apache Solr? Apache Solr is an open-source, enterprise search platform built on Apache Lucene that lets organizations index large volumes of content and serve fast, relevant, full-text search, with features like faceting, filtering, highlighting, and near-real-time indexing across a distributed cluster. For engineering teams, it means powering site search, product search, and document and log search at scale, with high availability and horizontal scaling through SolrCloud.
As organizations make search central to their products and operations, this program helps your teams design, build, and operate Solr search confidently. Empower your people with expert-led on-site, off-site, and virtual sessions delivered by Edstellar, a premier corporate training provider serving organizations worldwide. Built around your goals, the program turns Apache Solr skills into lasting capabilities that lift performance across search, backend, and platform teams.
Delivered instructor-led and fully customized to your data and search use cases, the training is available worldwide in person and virtually across popular languages, and covers Solr end to end, including schema design, indexing, query parsing, relevance tuning, faceting, and SolrCloud operations. Your organization gains faster and more relevant search, lower infrastructure cost, and engineers who can scale search as content and traffic grow. Request a tailored proposal to align the curriculum with your stack and use cases.
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- Explain Solr's architecture, including cores, collections, shards, replicas, and SolrCloud.
- Design schemas, field types, and analyzers for accurate indexing and search.
- Build and run queries with filtering, faceting, highlighting, and the query parsers (standard, DisMax, eDisMax).
- Tune relevance and ranking to deliver more useful results for users.
- Index content at scale from databases, files, and other sources, with near-real-time updates.
- Operate, secure, and scale SolrCloud clusters in production, including monitoring and backups.
- Apache Solr Foundations and Architecture
- Enterprise search concepts and common business use cases
- Apache Solr and Apache Lucene: how they fit together
- Cores, collections, shards, and replicas
- Standalone Solr vs SolrCloud architecture
- Schema Design and Indexing
- Schema design, field types, and dynamic fields
- Analyzers, tokenizers, and filters for text processing
- Indexing documents: post tool, APIs, and data import
- Atomic updates, commits, and near-real-time indexing
- Querying and Search Features
- Query syntax and the standard, DisMax, and eDisMax parsers
- Filtering, sorting, and pagination
- Faceting, grouping, and result clustering
- Highlighting, spell-check, and autocomplete (suggester)
- Relevance Tuning and Search Quality
- Scoring, boosting, and function queries
- Relevance tuning with field and query boosts
- Synonyms, stop words, and stemming
- Measuring and improving search quality
- SolrCloud, Scaling, and Integration
- SolrCloud, ZooKeeper, and distributed search
- Sharding, replication, and collection management
- Integrating Solr with applications and data pipelines
- Performance tuning, caching, and capacity planning
- Operations, Security, and Production Best Practices
- Configuration, config sets, and managed schema
- Security: authentication, authorization, and TLS
- Monitoring, metrics, and troubleshooting
- Backups, upgrades, and production deployment
- Search Engineers
- Software Developers
- Data Engineers
- DevOps Teams
- IT Managers
- System Administrators
- Database Administrators
- Backend Developers
- Web Developers
- Information Retrieval Specialists
- Software Architects
- Data Scientists
Participants should be comfortable with general programming concepts and working on the command line, and ideally have some familiarity with JSON, REST APIs, and basic Java, since Solr runs on the JVM. Prior search or database experience is helpful but not required, as the program includes guided setup and fundamentals. Edstellar tailors the starting point to your team's experience, so both engineers new to Solr and those running existing clusters can take part productively.
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64 hours of group training (includes VILT/In-person On-site)
Tailored for SMBs
160 hours of group training (includes VILT/In-person On-site)
Ideal for growing SMBs
Tailor-Made Trainee Licenses with Our Exclusive Training Packages!
400 hours of group training (includes VILT/In-person On-site)
Designed for large corporations
Tailor-Made Trainee Licenses with Our Exclusive Training Packages!
Unlimited duration
Designed for large corporations
Experienced Trainers
Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.
Proven Quality
With a strong global track record, Edstellar is known for quality and engaging delivery.
Industry-Relevant Curriculum
Our programs are built by experts to match the demands of today's industry.
Fully Customizable
Every program can be tailored to your organization's goals.
Comprehensive Support
We provide pre- and post-session support for a complete learning experience.
Global Multi-Location & Multilingual Training Delivery
We deliver in multiple languages to support diverse global teams.
Hear from Organizations We've Trained
Recognition That Motivates Your Team
Frequently Asked Questions
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