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Virtual course of:edureka |
Limited Time Discounts
MAIN CATEGORY(S) OF THIS COURSE
ABOUT THIS COURSE
Edureka's Apache Solr certification training will help you get started and master the various concepts of Apache Solr. Solr is being used 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 such as AOL, Yahoo, Snapdeal, Cnet, Netflix, Zappos, Disney, Apple, NASA, etc. Search offers competitive advantages over other players that do not provide search. Apache Solr, based on the Lucene Library, is an open source, enterprise-grade platform and search engine used to provide fast and scalable search capabilities. Main features include full text search, result highlighting, faceted search.
DESCRIPTION
ABOUT THE COURSE
Edureka's Apache Solr certification training course is designed to make course participants experts in Apache Solr (search engine). It starts with fundamental concepts such as searching for text using Lucene, Lucene components such as Solr installation, parsers, finders, indexing and updating schemes, and faceting. Post fundamental concepts covering Solr use cases, Internal Architecture, Components, Highlighters, Faceting, Solr Cloud, Solr Admin. This will also cover advanced topics like Spellcheck and quest hints.
WHAT ARE THE OBJECTIVES OF THIS COURSE?
After completing the Apache Solr course on Edureka, you will be able to: Why and where to use Lucene? Indexing and searching with the Apache Lucene library Installing, configuring Apache Solr Learn about Apache Solr concepts and benefits Understand the scalable and fault-tolerant features of Solr Search, indexing, Faceting, and Highlighters Configuring Apache Solr Cloud for distributed indexing and searching Search and Indexing Using Solr Admin Solr Cloud Cluster Load Balancing Apache Solr Use Cases
CHARACTERISTICS OF THIS COURSE
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Course language:English with English subtitles
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Created by:edureka!
CONTENTS OF THIS COURSE
INTRODUCTION TO APACHE LUCENE. Learning Objective: The objective is to gain a complete understanding of the Lucene components and their use cases. Skills: Lucene ComponentsLucene AnalyzersLucene IndexersLucene Searcher . Objective: Upon completion of this module you should be able to understand: What is search and where is search required? What is Apache Lucene and where to use Apache Lucene? reverse indexing. Topics: What is SearchLucene Architecture? Lucene Use Cases Lucene Components Lucene Schema Why use Lucene and where? . Click on the "go to course" button to learn more details at edureka!
EXPLORING APACHE LUCENE. Learning Objective: In this module, you will learn about parsers, queries, punctuation, augmentation, highlighting, faceting, Apache Tika, etc. Skills: Advanced Analyzers, Advanced Querying, Scoring, Goal Raising Objective: Upon completion of this module, you should be able to: Create your own Lucene ApplicationManage Lucene SchemaIndexing and Searching Topics: AnalyzersQueryingScoringBoostingHighlightingFacetingGroupingJoinsSpatial SearchApache Tika Hands-On: You will create a search engine for a company that supports your business with Apache Lucene. Which will include schema design, indexing and searching. . Click on the "go to course" button to learn more details at edureka!
INTRODUCTION TO APACHE SOLR. Learning Objective: In this module, you will get an Introduction to Solr, Solr key features, Solr installation steps, Solr Architecture, Schema and Field Types. Skills: Solr Use Cases Solr Installation Solr Fields and Data Types Objective: Upon completion of this module, you should be able to: Identify Solr use cases. Learn About Solr Architecture Learn About Solr Schema Solr Field Types and Practical Fields: Installing Solr Schema Design Get a Detailed Course Syllabus in Your Inbox Download the Syllabus
SOLR INDEXING. Learning Objective: In this module, you will learn more about Solr indexing, indexing drivers and options, commits, transaction logs, Solr configurations, and more. Skills: Multiple parsers Data type selection when indexing Document indexing Objective: Upon completion of this module, you should be able to: Design a schema for any search engine efficiently Solr data type selection for fields. Index Drivers Indexing Alternatives Solr Configurations Default Request Handlers Handy: Custom Analyzers Case Study Design and Indexing. . Click on the "go to course" button to learn more details at edureka!
Advantages
Outstanding advantages of edureka courses!
live instructors
Instructor-led sessions will address all your concerns in real time.
lifetime access
Unlimited access to the course's online learning repository.
Real cases
Develop a project with live accompaniment, based on any of the cases seen
Tasks
In each class you will have practical tasks that will help you apply the concepts taught.
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FAQs
METHODOLOGY
LEVEL OF STUDY
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COOKING CLASS DETAILS
- DELIVERY SCHEDULE: Study at your own pace and availability
- ACCESS TIME Lifetime access to the course (and updates)
Who develops this course?
edureka!
Bengaluru, India
NEW
Mark Trejo
February 12, 2023 at 2: 11 pmThe video quality is horrible, the videos are uploaded very late, 0 very expensive support for what they offer