Learning Objective: Goal is to get a complete understanding of Lucene components and it’s use cases. 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. Upon completing this module, you should be able to:

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

Topics:

• Advance Analyzers
• Advance Queries
• 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. 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. 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. Upon completing this module, you should be able to understand:

• Search documents in Solr
• Solr Searching internals
• Solr Search queries
• Full & Partial text search

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

• Spell check search
• Faceting while searching
• Advance Solr features like Faceting, Spell Check and Highlight

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. 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
• Sharding in Solr

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

CertAdda’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 CertAdda, 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

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.

You will never miss a lecture at CertAdda You can choose either of the two options: View the recorded session of the class available in your LMS or 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 CertAdda are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by CertAdda for providing an awesome learning experience to the participants.

Just give us a CALL at +91 8178510474 / +91 9967920486 OR email at admin@certadda.com