Solr Training

1. Concepts of Apache Solr and its advantages
2. Scalable and fault-tolerant features of Solr
3. Apache SolrCloud configuration for distributed indexing and search
4. Using Solr4 on a NoSQL store
5. Real-time search and indexing ideas
6. SolrCloud cluster load balancing
7. Monitor, scale, maintain and tune SolrCloud
8. Real-life Apache Solr projects

• Apache Solr Professionals who wish to havegreater insights
• Software Developers, Project Managers, IT Architects and Mainframe Professionals
• Search Analysts and System Administrators
• Graduates who wish to learn Apache Solr

You will need a basic knowledge of Java for learning Apache Solr.

• Poor data quality costs the US businesses up to $600 billion annually – TDWI
• Global Big Data Analytics Market to reach $40.6 Billion in 4 years -ResearchandMarkets
• An Apache Solr Implementation Expert in the United States can earn $105,000 – indeed.com

The Apache Solr is an open-source platform for querying and indexing of websites. It is highly scalable and fault-tolerant beingpart of the Apache SolrCloud. Having the right skills and certification can help individuals to get high-paying jobs in this domain.

Introduction to the search engine, the Apache Lucene, understanding the inverted index, documents and fields & documents.

Introduction to the various query types available in Lucene and clear understanding of these.

Understanding the prerequisites for using Apache Lucene, learning about the querying process, analyzers, scoring boosting, faceting, grouping, highlighting, the various types of geographical and spatial searches, introduction to Apache Tika.

Demonstration of the Apache Lucene workings.

Understanding the Analyzer, Query Parser in Apache Lucene, Query Object, Stopword.

Understanding the various aspects of Apache Lucene like Scoring, Boosting, Highlighting, Faceting and Grouping

Introduction to Apache Solr, the advantages of Apache Solr over Apache Lucene, the basic system requirements for using Apache Solr, introduction to Cores in Apache Solr.

Introduction to the Apache Solr indexing, index using built-in data import handler and post tool, understanding the Solrj Client and configuration of Solrj Client.

Demonstrating the Book Store use cases with Solr Indexing with practical examples, learning to build Schema, the field, field types, CopyField and Dynamic Field, understanding how to add, explore, update, and delete using Solrj.

The various aspects of Apache Solr search like sorting, pagination, an overview of the request parameters, faceting and highlighting.

Understanding the Request Handlers, defining and mapping to search components, highlighting and faceting, updating managed schemas, request parameters hardwiring, adding fields to default search, the various types of Analyzers, Parsers, Tokenizers.

Grouping of results in Apache Solr, Parse queries functions, fuzzy query in Apache Solr.

The extended features in Apache Solr, learning about Pseudo-fields, Pseudo-Joins, Spell Check, suggestions, Geospatial Search, multi-language search, stop words and synonyms.

Understanding the concept of Multicore in Solr, the creation of Multicore in Solr, the need of Multicore, Joining of data, Replication and Ping Handler.

Understanding the SolrCloud, the concept of Sharding, indexing, and replication in Apache SolrCloud, the working of Apache SolrCloud, distributed requests, reading and writng slide fault tolerance, cluster coordination using Apache ZooKeeper.

Project – Designing and developing simple ecommerce search engine database

Topics : This project involves deploying Apache Solr for search engine database design. You will be exposed to real world scenarios in the eCommerce domains like searching customer history, purchase order, personalization, targeted marketing opportunities and more using Solr. Get hands-on experience in Solr Multi Core, Creation Core, Solrj, Stop words, Auto complete, Auto Suggest, Synonyms, and Managed schema. Upon completion of project you will understand about distributed indexing, and other salient features of Solr like resilience, scalability, replication, reliability, centralized configuration and recovery.