Overview of Course

Our Apache Solr Training course is designed to provide you with the necessary skills to effectively use and manage Apache Solr, a powerful open-source search engine. You'll learn how to install, configure, and optimize Solr, as well as develop search applications that can handle large volumes of data.

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Course Highlights

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Hands-on exercises and real-world examples

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Experienced instructors with practical knowledge

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Flexible learning options, including online and in-person training

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Skills You’ll Learn


Installation and configuration of Apache Solr


Schema design and management


Indexing and searching large volumes of data


Querying and filtering search results


Performance optimization techniques

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1-on-1 Training

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  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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Course Reviews


  • What is SOLR and Lucene
  • Search Engine and How it works
  • Why SOLR
  • RDBMS vs NoSQL vs SOLR
  • SOLR Features
  • Topics to cover in future

  • Installing Solr & Start Searching
  • Analysing Response
  • Schema & Configuration
  • Update Handlers

  • Lucene in Solr( Role of Lucene)
  • Querying Solr
  • Static & Dynamic Fields
  • Analyzer, Tokenizer & Filters

  • Solr Introduction
  • Solr Key Features
  • Solr Vs Databases
  • Installing & Running
  • Solr Admin UI Quick Tour
  • Solr Architecture
  • Solr Schema
  • Solr Field Types

  • Concepts of Indexing in Solr
  • Indexing PDF Documents
  • Inverted Index
  • Update Chain
  • Atomic Updates
  • Hard vs Soft Commit

  • Options Sorting & Relevance in Solr Boosting
  • Lucene scoring model
  • Query Syntax in Solr Basic Query Parsers and Extended Query Parsers

  • Boosting and Faceting
  • Highlighting
  • Spell Checking
  • Solr Query Re-Ranking
  • Suggestions
  • Pagination
  • Grouping
  • Spatial Search
  • Real-Time Search
  • Solr Plugin

  • Administering Solr Core
  • Running on Tomcat/Jetty
  • Managing Multiple Cores
  • Log Management
  • Solr on Cloud
  • Solr & AWS (The Recipe)

  • Summary of everything has been covered so far
  • Basic Solr Project For Providing Search Capability(Like Google Search Engine)
  • SOLR and ML Approach (The Recipe)
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Target Audience:

  • Developers and engineers who need to implement search functionality
  • Data scientists and analysts who need to search and analyze large volumes of data
  • IT professionals who need to manage and optimize Solr installations
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  • Basic knowledge of Linux command line interface
  • Familiarity with XML and JSON formats
  • Some experience with Java programming language is recommended but not mandatory
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Benefits of the course:

  • Gain practical skills to use and manage Apache Solr effectively
  • Advance your career prospects in search and data management
  • Boost your knowledge and expertise in open-source search technologies
  • Learn from experienced instructors with real-world experience
  • Earn a valuable certification in Apache Solr
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Exam details to pass the course:

  • Exam format: Multiple choice questions
  • Number of questions: 60
  • Passing score: 70%
  • Exam duration: 90 minutes
  • Exam fee: $250
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Certification path:

  • Apache Solr Certified Developer
  • Apache Solr Certified Administrator
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Career options:

  • Search Engineer
  • Search Architect
  • Search Analyst
  • Data Engineer
  • Data Analyst
  • Data Scientist

Why should you take this course from Skillzcafe:

Why should you take this course from Skillzcafe:
  • Bullet Icon Experienced instructors with practical knowledge
  • Bullet Icon Flexible learning options, including online and in-person training
  • Bullet Icon Hands-on exercises and real-world examples
  • Bullet Icon Certification exam preparation and support
  • Bullet Icon Competitive pricing and value for money


Apache Solr is an open-source enterprise search platform that is widely used for its fast and powerful full-text search capabilities, hit highlighting, faceted search, dynamic clustering, database integration, and more.

Participants should have a basic understanding of Linux commands, Java programming, and XML.

The course covers topics such as Solr architecture, installation, indexing and searching, faceting and filtering, relevancy tuning, and more.

This course duration is a 26 hours.

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