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Apache Solr Certification Training

Apache Solr Certification Training

Name: Apache Solr Certification Training
Item: Apache Solr Certification Training
Rating: 5
Author: Shilpa Chutake

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Edureka'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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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You'll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

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Curriculum

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.

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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.

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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

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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.

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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

Hands-On:

Creating search application in Java for given Case Study

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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

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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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Course Description

About the course

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.

What are the objectives of this course ?

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

Why Learn 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.

Who should go for this training?

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

What are the pre-requisites for this course?

For Learning Apache Solr Certification Training you should have :

OOPs Programming Concepts
Basics of Linux and Databases and good knowledge about Computer Science

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Certification

Edureka’s Apache Solr Professional Certificate Holders work at 1000s of companies like

Apache Solr Certification Training Certificate

Apache Solr Certification Training Certificate Watermark

Your Name

Apache Solr Professional

with Grade X

Sample ID NA Signature

The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate

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Testimonial Reviews

Sangeetha SubramanianSenior Software Engineer at GT Nexus

I enrolled for my first Live Online Course with Edureka Apache SOLR. The instructor was pretty good ... Read More

Madhusudan Rao SSenior software consultant at PCS Technical Services, Bengaluru Area, India

I had attended a couple of demo session with other training institutes before joining Edureka. I can ... Read More

Praveen KonkisaBI Architect & Hadoop Specialist at Teradata

I have taken Informatica, Hadoop, R-programming, Spark and Scala and several other training's from p ... Read More

Shilpa ChutakeFinancial Analyst, JPMorgan Chase & Co.

I was taking a course for Data Visualization with Tableau , and had wonderful experience with edurek ... Read More

AalapIntegrations, Developer Support, Engineering

Clean, simple and a fantastic learning resource. The courses are a great resource for personal devel ... Read More

Manish DunaniBig Data Enthusiast

It is a very good experience to learn from edureka!.Faculty seems excellent in sharing real world ex ... Read More

Video Reviews

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Our learner Balasubramaniam shares his Edureka learning experience and how our training helped him stay updated with evolving technologies.

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Project

What are the system requirements for this course?

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.

How will I execute the practicals?

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

Training Features

You will undergo self-paced learning where you will get an in-depth knowledge of various concepts that will be covered in the course.

Towards the end of the course, you will be working on a project where you are expected to implement the techniques learnt during the course.

Each module will contain practical assignments, which can be completed before going to next module.

You get lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online from the LMS.

edureka certifies you as a professional in Apache SOLR based on the project reviewed by our expert panel.We have a community forum for all our customers wherein you can enrich their learning through peer interaction and knowledge sharing.

FAQ's

What if I miss a class?

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.

Can I attend a demo session before enrollment?

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.

What if I have more queries?

You can give us a CALL at +91 88808 62004/1800 275 9730 (US Tollfree Number) OR email at [email protected]

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Apache Solr Certification Training

Online self paced classes

Financing Options

Curriculum

Introduction to Apache Lucene

Exploring Apache Lucene

Introduction to Apache Solr

Solr Indexing

Searching Using Solr

Solr Extended Features

Solr Admin and Solr Cloud

Course Description

About the course

What are the objectives of this course ?

Why Learn Apache SOLR?

Who should go for this training?

What are the pre-requisites for this course?

Testimonial Reviews

Video Reviews

Project

What are the system requirements for this course?

How will I execute the practicals?

Training Features

FAQ's

What if I miss a class?

Can I attend a demo session before enrollment?

What if I have more queries?

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