Apache Solr Certification Training

Edureka’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.

After the completion of Apache Solr course at Edureka, 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
1
Introduction to Apache Lucene

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.


2
Exploring Apache Lucene

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.


3
Introduction to Apache Solr

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


4
Solr Indexing

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.


5
Searching Using Solr

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


6
Solr Extended Features

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


7
Solr Admin and Solr Cloud

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


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