Apache Solr Certification Training

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Apache Solr Certification Training will help you get started and master the various concepts of Apache Solr.

Course Description for Apache Solr Certification Training

Solr is utilized by most of the world's leading 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, etc. Search gives competitive advantages over other players who do not provide tracking. Based on the Lucene library, Apache Solr is an open-source enterprise Grade search engine and platform that offers fast and scalable search features. Significant features include full-text search, hit highlighting, and faceted search

Apache Solr Certification training course is created to make the course participants experts in Apache Solr (Search engine). It starts with essential concepts like searching text using Lucene, Lucene components like Solr Installation, Analyzers, Searchers, Indexing & Updating schemas, and Faceting.

AOL is using Solr to power its channels. www.AOL.complex is using Solr. www.apple.com

OOPs Programming Concepts, Basics of Linux and Databases and Computer Science.

Solr is famous for websites as it can be used to index and search multiple sites and enterprise search because it can index and search documents and email attachments.

Solr is a leading open-source business search forum from the Apache Software Foundation's Lucene project. With its flexibility, scalability, and cost-effectiveness, Solr is widely used by large and small organizations for various search and data analytics applications.

It is the most popular open-source time-series database and search engine in DevOps at the beginning of the 2020s.

The Terms Component provides access to the indexed terms in a field and the number of documents that match each time. This can be useful for creating an auto-suggest attribute or any other feature that works at the term level somewhat of the examination or document level.

What you'll learn in Apache Solr Certification Training

  • In this course, you will learn: Apache Lucene Apache Solr Solr Indexing Extended Features Solr Admin and Solr Cloud

Requirements of Apache Solr Certification Training

  • OOPs Programming Concepts, Basics of Linux and Databases and Computer Science

Curriculam of Apache Solr Certification Training

Goal is to get a complete understanding of Lucene components and it’s use cases.

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

In this module, you will learn about the Analyzers, Querying, Scoring, Boosting, Highlighting, Faceting, Apache Tika etc.

Analyzers
Querying
Scoring
Boosting
Highlighting
Faceting
Grouping
Joins
Spatial Search
Apache Tika

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.

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

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

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

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.

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

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.

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

Discover Solr Administration, manage Solr, Plugins, JVM Settings, and Solr Cloud.

Understand Administration
Solrconfig.xml
Solr.xml
Managing Solr
Solr Cloud: Introduction, Features, Architecture, Exploring Solr Cloud.

FAQ for Apache Solr Certification Training

It's a fast, powerful, flexible, and simple search engine. Comprehensive HTML-based Administration Interface. Helps make your products and services more accessible.

To better understand the Apache Solr Certification Training, one must learn as per the curriculum.

After the completion of the Apache Solr course, 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.

Its major features include full-text search, hit highlighting, faceted search, real-time Indexing, dynamic clustering, database integration, NoSQL features, and rich document (e.g., Word, PDF) handling. Solr is designed for scalability and fault tolerance, providing distributed search and index replication.

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, and Stubhub!, Digg, eTrade, Disney, Apple, NASA, and MTV). Search gives competitive advantages over other players who do not provide tracking. Based on the Lucene library, Apache Solr is an open-source enterprise Grade search engine and platform that offers fast and scalable search features. Significant features include full-text search, hit highlighting, and 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

CertZip Support Team is for a lifetime and will be open 24/7 to support you with your questions during and after completing the Apache Solr Certification Training.

By enrolling in the Apache Solr Training and completing the module, you can get the CertZip Apache Solr Training Certification.

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Training Course Features

Assessments
Assessments

Every certification training session is followed by a quiz to assess your course learning.

Mock Tests
Mock Tests

The Mock Tests Are Arranged To Help You Prepare For The Certification Examination.

Lifetime Access
Lifetime Access

A lifetime access to LMS is provided where presentations, quizzes, installation guides & class recordings are available.

24x7 Expert Support
24x7 Expert Support

A 24x7 online support team is available to resolve all your technical queries, through a ticket-based tracking system.

Forum
Forum

For our learners, we have a community forum that further facilitates learning through peer interaction and knowledge sharing.

Certification
Certification

Successfully complete your final course project and CertZip will provide you with a completion certification.

Apache Solr Certification Training

An Apache Solr Training certification demonstrates that the holder has the proficiency and aptitudes needed to work with Apache Solr.

Solr is designed for scalability and fault tolerance, providing distributed search and index replication. Solr is broadly utilized for business search and analytics use cases and has an energetic development community and regular releases. Solr operates as a standalone full-text search server.

Solr offers powerful features such as distributed full-text search, faceting, near real-time Indexing, high availability, NoSQL features, integrations with big data tools such as Hadoop, and the ability to handle rich-text documents like Word and PDF.

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