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Certpine'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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Training Features

Introduction to Apache Lucene

Learning Objectives - In this module, you will learn the Basic of Lucene, Characteristics of Lucene and the Basics of Search Engines & Indexing. You will also understand the


Exploring Apache Lucene

Learning Objectives - In this module, you will learn about the Analyzers, Querying, Scoring, Boosting, Highlighting, Faceting, ApacheTika etc.


Introduction to Apache Solr

Learning Objectives - 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.


Solr Indexing

Learning Objectives - In this module, you will learn more in detail about Solr Indexing, Indexing Handlers & Options, Commits, Transaction Logs, Solr configurations and


Searching Using Solr

Learning Objectives - 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


Advanced Features

Learning Objectives - In this module, you will understand the advanced Features of Solr. Some of the features are Faceting, Highlighting, Spell Checking, Clustering,


Administration & SolrCloud

Learning Objectives - In this module, you will learn about Solr Administration, how to manage Solr, Plugins, JVM Settings and Solr Cloud.


Project

Learning Objectives - In this module, you will focus on designing & developing a live e-commerce shopping project, which uses most of the Solr & Lucene’s features like (Creating


Course Description

Certpine 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.

After the completion of Apache Solr course at Certpine, 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

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.

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

For Learning Apache Solr Certification Training you should have :
  • OOPs Programming Concepts
  • Basics of Linux and Databases and good knowledge about Computer Science

Project

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.

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

Curriculum

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

FAQ's

You will never miss a lecture at Edureka! You can choose either of the two options:
  • View the recorded session of the class available in your LMS.
  • You can attend the missed session, in any other live batch.

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight into how are the classes conducted, quality of instructors and the level of interaction in a class.

All the instructors at Certpine are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by Certpine for providing an awesome learning experience to the participants.

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