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. This online 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.
