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.
Mastering Apache Solr: Index, Search & Analyze Content
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您将学到什么
Index and search diverse content types using Apache Solr with OCR and multilingual support.
Integrate Solr with Java applications for programmatic indexing and query execution.
Implement advanced faceted search and optimize Solr for scalable, real-world search solutions.
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最近已更新！
January 2026
作业
12 项作业
授课语言：英语（English）
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该课程共有3个模块
This module introduces learners to the foundational concepts of Apache Solr, including its purpose, features, and core functionalities. Through guided walkthroughs of the Solr Admin UI, internal architecture, and essential OCR tools like Tesseract, learners will gain a solid understanding of how Solr processes, indexes, and retrieves information. The module builds a foundational knowledge base necessary for more advanced indexing and search tasks.
涵盖的内容
7个视频4个作业
This module expands learners’ skills by demonstrating how Apache Solr indexes and searches a wide variety of file types, including PDFs, Word documents, multilingual text, images, and CSV files. Learners explore Solr’s integration with Apache Tika for content extraction and Tesseract for OCR, developing the ability to prepare, ingest, and query real-world document formats with precision.
涵盖的内容
12个视频4个作业
This module enables learners to advance from foundational indexing to programmatic integrations, custom utilities, and search enhancements. Through hands-on Java interactions, document management workflows, content search techniques, and faceted search implementation, learners gain the ability to build scalable, real-world search solutions using Apache Solr.
涵盖的内容
9个视频4个作业
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