Apache Solr Certification Training

Apache Solr Certification Training

OL Tech Edu's Apache Solr Certification Training will help you in getting started and master the various concepts of Apache Solr. Solr is being used by most of the world’s top multinational companies. Solr powers the search and navigation features of many of the world's largest internet sites like AOL, Yahoo, Snapdeal, Cnet, Netflix, Zappos, Disney, Apple, NASA and so on. Search gives competitive advantages over other players who do not provide search. Apache Solr based on the Lucene Library, is an open-source enterprise Grade search engine and platform used to provide fast and scalable search features. Major features include full-text search, hit highlighting, faceted search.

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Course Curriculum

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Apache Solr Certification Training

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OL Tech Edu's Apache Solr Certification Training will help you in getting started and master the various concepts of Apache Solr. Solr is being used by most of the world’s top multinational companies. Solr powers the search and navigation features of many of the world's largest internet sites like AOL, Yahoo, Snapdeal, Cnet, Netflix, Zappos, Disney, Apple, NASA and so on. Search gives competitive advantages over other players who do not provide search. Apache Solr based on the Lucene Library, is an open-source enterprise Grade search engine and platform used to provide fast and scalable search features. Major features include full-text search, hit highlighting, faceted search.

  • WEEK 5-6
  • 10 Modules
  • 6 Hours
Safe Paced
Learning Objective: Goal is to get a complete understanding of Lucene components and it’s use cases. 
Skills:
  • Lucene Components.
  • Lucene Analyzers.
  • Lucene Indexers.
  • Lucene Searcher.

Objective:

Upon completing this module, you should be able to understand:

  • What is Search and where a search is required?
  • What is Apache Lucene & where to use Apache Lucene?
  • Inverted Indexing.
  • Search and Indexing Component.

Topics:
  • What is Search?
  • Lucene Architecture.
  • Lucene Use Cases.
  • Lucene Components.
  • Lucene Schema.
  • Why Lucene should be used and where?
  • Lucene Indexer.
  • Lucene Analyzer.
  • Lucene Searcher.
  • Different Lucene Queries.

Hands On:
  • Designing Search Schema in Apache Lucene for given case study which also include data type selections.
Learning Objective: In this module, you will learn about the Analyzers, Querying, Scoring, Boosting, Highlighting, Faceting, Apache Tika etc. 

Skills:
  • Advance Analyzers.
  • Advance Queries.
  • Scoring.
  • Boosting.
  • Faceting.

Objective:

Upon completing this module, you should be able to:

  • Create your own Lucene Application.
  • Manage Lucene Schema.
  • Indexing and Searching.

Topics:
  • Analyzers.
  • Querying.
  • Scoring.
  • Boosting.
  • Highlighting.
  • Faceting.
  • Grouping.
  • Joins.
  • Spatial Search.
  • Apache Tika.

Hands On:
  • You will be creating Search Engine for a Company to support its business using Apache Lucene.
  • Which will include designing Schema, Indexing and Searching.
Learning Objective: In this module, you will get an Introduction to Solr, the Key features of Solr, the installation steps of Solr, Architecture, Schema and Field Types of Solr. 

Skills:
  • Solr use cases.
  • Solr installation.
  • Solr fields & Data Types.

Objective:

Upon completing this module, you should be able to:

  • Identify Solr use cases.
  • Standalone Setup of Apache Solr.
  • Solr Datatypes & Fields.

Topics:
  • Introduced to Solr.
  • Key Features.
  • Solr Vs Relational Databases.
  • Install & Run Solr.
  • Admin UI Quick Tour.
  • Insights on Solr Architecture.
  • Learn about Solr Schema.
  • Solr Field Types & Fields.

Hands On:
  • Solr Installation.
  • Schema Design.
Learning Objective: In this module, you will learn more in detail about Solr Indexing, Indexing Handlers & Options, Commits, Transaction Logs, Solr configurations and more. 

Skills:
  • Various Analyzers.
  • Datatype Selection while Indexing.
  • Indexing of Documents.

Objective:

Upon completing this module, you should be able to:

  • Design Schema of any Search Engine Efficiently.
  • Selection of Solr data types for Fields.
  • Indexing of Documents in Solr.

Topics:
  • Solr Indexing.
  • Analysis & Analyzers.
  • Tokenizers & Filters.
  • Indexing & Index Handlers.
  • Indexing Alternatives.
  • Solr Configurations.
  • Default Request Handlers.

Hands On:
  • Custom Analyzers.
  • Design and Indexing of case study.
Learning Objective: In this module, you will understand how to Search using Solr, you will also learn the concepts like Search Process, Velocity Search UI and in Detail about Query I.e. Syntax, Basic & Extended Parsers. 

Skills:
  • Solr Searching Internals.
  • Solr Search Queries.
  • Full & Partial Text Search.

Objective:

Upon completing this module, you should be able to understand:

  • Search Documents in Solr.

Topics:
  • Search Process.
  • Velocity UI.
  • Basic Query Parsers.
  • Wild Card Search.
  • Fuzzy Search.
  • Proximity Search.
  • Range Search.
  • Sorting & Relevance.
  • Boosting.
  • Extended Query Parsers.

Hands On:
  • Creating search application in Java for given Case Study.
Learning Objective: In this module, you will understand the advanced Features of Solr. Some of the features are Faceting, Highlighting, Spell Checking, Clustering, Spatial Search, Grouping, and Collapsing & Expanding etc. 

Skills:
  • Advance Solr features like Faceting, Spell Check and Highlight.

Objective:

Upon completing this module, you should be able to:

  • Spell Check Search.
  • Faceting While Searching.

Topics:
  • Faceting.
  • Highlighting.
  • Spell Checking.
  • Query-Re-ranking.
  • Transforming.
  • Search Suggesters.
  • Pagination.
  • Grouping and Clustering.
  • Spatial Search.
  • Real-time (Get & Update).

Hands On:
  • Provide advanced features in Search for given case study.
Learning Objective: In this module, you will learn about Solr Administration, how to manage Solr, Plugins, JVM Settings and Solr Cloud. 

Skills:
  • Searching and Indexing from Solr Admin.
  • Setting up Solr Cloud.
  • Sharding in Solr.

Objective:

Upon completing this module, you should be able to learn:

  • Indexing and Searching from Solr Admin.
  • Analyzing search query from Solr Admin.
  • Setting up Solr in Solr Cloud to make it more Scalable and Fast.

Topics:
  • Understand Administration.
  • Solrconfig.xml.
  • Solr.xml.
  • Managing Solr.
  • Learn about Solr Cloud: Introduction, Features, Architecture, Exploring Solr Cloud.

Hands On:
  • Solr Admin Functionality.
  • Solr Cloud Setup.

Program Syllabus

Curriculum

You can also view the program syllabus by downloading this program Curriculum.

Curriculum

Projects

What are the system requirements for this course?

The system requirements for Apache Solr course is Multicore Processor (i3-i7 series), 4GB of RAM is recommended and 10GB Hard Disk. The operating system can be Windows.

How will I execute the practicals?

For doing the practical, Java must be installed. The detailed installation guides are provided in the LMS for setting up the environment.

How will I execute the practicals?

For doing the practical, Java must be installed. The detailed installation guides are provided in the LMS for setting up the environment.

Course Description

About The Course
About the Course
  • OL Tech Edu's Apache Solr Certification training course is designed to make the course participants experts in Apache Solr (Search engine).
  • It starts with fundamental concepts like searching text using Lucene, Lucene components like Solr Installation, Analyzers, Searchers, Indexing & Updating schemas and Faceting.
  • Post fundamental concepts it will cover use cases of Solr, internal Architecture, Components, Highlighters, Faceting, Solr Cloud, Solr Admin.
  • This will also cover advanced topics like Spellcheck and search suggestions.
Apache Solr Course
After the completion of Apache Solr course at OL Tech Edu, you will be able to:
  • Why and where to use Lucene?
  • Indexing and Searching with Apache Lucene library.
  • Installation, Configuration Apache Solr.
  • Learn the concepts of Apache Solr and its advantages.
  • Understand scalable, fault-tolerant features of Solr.
  • Searching, indexing, Faceting and Highlighters.
  • Apache Solr Cloud configuration for distributed indexing and search.
  • Searching and Indexing using Solr Admin.
  • Solr Cloud cluster load balancing.
  • Use cases of Apache Solr.
Why Learn Apache SOLR
Why Learn Apache SOLR?
  • SOLR is being used by most of the world’s top multinational companies.
  • Solr powers the search and navigation features of many of the world's largest internet sites like (Aol, Yahoo, Snapdeal, Buy.com, Cnet, CitySearch, Netflix, Zappos, Stubhub!, digg, eTrade, Disney, Apple, NASA and MTV).
  • Search gives competitive advantages over other players who do not provide search.
  • Apache Solr based on the Lucene Library, is an open-source enterprise Grade search engine and platform used to provide fast and scalable search features.
  • Major features include full-text search, hit highlighting, faceted search.
Who Should Go For This Training
Who should go for this training?This course is most suitable for the following professionals:
  • Software Professionals.
  • Developers.
  • Software Architects and Designers.
  • Open source contributors and enthusiasts.
  • Search Analytics.
  • Product Managers.
  • Quality Engineers.
Pre Requisites For This Course
What are the pre-requisites for this course?For Learning Apache Solr Certification Training you should have :
  • OOPs Programming Concepts.
  • Basics of Linux and Databases and good knowledge about Computer Science.

Course Certification

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Features

Explore step by step paths to get started on your journey to Jobs of Today and Tomorrow.

Instructor-led Sessions

30 Hours of Online Live Instructor-Led Classes.
Weekend Class : 10 sessions of 3 hours each.

Real Life Case Studies

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various real life solutions / services.

Assignments

Assignments

Each class will be followed by practical assignments.

24 x 7 Expert Support

24 x 7 Expert Support

We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.

Certification

Certification

Towards the end of the course, OL Tech Edu certifies you for the course you had enrolled for based on the project you submit.

Course FAQ's

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