Mastering Apache Solr: Index, Search & Analyze Content
About this course
Learners will index diverse content types, apply OCR processing, configure multilingual search, integrate Java applications, and implement advanced faceted search using Apache Solr. This course equips learners with the practical skills to build fast, scalable, and intelligent search solutions for real-world applications. Throughout the course, learners benefit from hands-on exposure to Solr’s full capabilities—from extracting text with Apache Tika and Tesseract to indexing PDFs, Word documents, images, and CSV files. They will also explore Solr’s internal architecture, understand how search queries are processed, and apply programmatic indexing and retrieval using Java. What makes this course unique is its end-to-end focus on real data formats, step-by-step practical demonstrations, and clear integration of external tools that modern search systems rely on. By the end, learners will be able to design, build, and optimize powerful search experiences that mirror professional, production-level implementations. This course is ideal for developers, analysts, and technical professionals seeking to elevate their expertise in enterprise search technologies.
75/100
CourseAsk score
- What the provider tells you
- 39/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- index diverse content types
- apply OCR processing
- configure multilingual search
- integrate Java applications
- implement advanced faceted search
- explore Solr's internal architecture
- understand search query processing
- apply programmatic indexing and retrieval using Java
Course objectives
- equip learners with practical skills in search solutions
- enable learners to design and build advanced search experiences
- provide hands-on exposure to Solr's features and tools
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