Master Apache Solr with ENCODE-IT’s Comprehensive Online Course
Unlock the power of full-text search with Apache Solr, one of the most popular open-source search
platforms used for indexing and searching large datasets. ENCODE-IT’s Apache Solr course is
designed for professionals who want to implement high-performance, scalable search solutions in
their applications. Whether you’re building e-commerce platforms, enterprise search engines, or
document management systems, Apache Solr offers the tools to create fast, relevant, and scalable
search applications. This course will equip you with the knowledge to work with Solr’s advanced
features, such as faceted search, filtering, and distributed search.
Course Overview
Apache Solr is built on Apache Lucene, a powerful text search library, and is designed to handle a
vast array of data indexing and querying tasks at scale. This course introduces you to the
fundamentals of Solr and walks you through its core components such as indexing, querying, and
managing search results. You will learn how to implement Solr in real-world applications, configure
Solr to handle high-volume data, and optimize performance for complex search use cases.
By the end of the course, you will have a solid understanding of how to use Solr to perform fast,
scalable, and sophisticated searches over large datasets. You'll also gain hands-on experience
configuring Solr in a variety of scenarios, from simple setups to large-scale distributed systems.
Salary Scale in India
Apache Solr professionals, skilled in search technologies, are highly sought after across various
industries in India. Solr Developers, Search Engineers, and Data Engineers skilled in building and
optimizing search applications can expect to earn between â‚ą8 lakhs and â‚ą18 lakhs annually,
depending on experience and skill level. For experienced professionals, roles such as Search
Architects and Big Data Engineers can command salaries upwards of â‚ą20 lakhs annually. With the
growing demand for high-performance search solutions in e-commerce, finance, and enterprise
sectors, expertise in Apache Solr can significantly enhance your career prospects.
Placement Assistance & Certification in India
ENCODE-IT provides placement assistance to help you launch your career in the fast-growing search
technology field. Upon completion of the Apache Solr course, you will receive a Certificate of
Completion from ENCODE-IT, which will boost your credentials in the competitive job market. With
our placement support, we assist you in connecting with top employers looking for professionals
skilled in Solr, search technologies, and big data applications.
Course Curriculum
1. Introduction to Search Technologies and Apache Solr
o What is Search Technology? Understanding its Importance in Big Data and Web
Applications
o Introduction to Apache Solr: Overview, History, and Features
o The Architecture of Solr: Solr Server, SolrCloud, and Distributed Systems
o Comparing Solr with Other Search Solutions (e.g., Elasticsearch, Lucene)
o Installing and Configuring Apache Solr on Local Machines and Servers
2. Core Concepts of Apache Solr
o Indexing in Solr: Understanding Documents, Fields, and Schema
o Overview of Solr Configuration Files (solrconfig.xml and schema.xml)
o How Solr Stores and Retrieves Data
o Understanding Field Types, Analyzers, and Tokenizers
o Data Ingestion: Loading Data into Solr from CSV, XML, JSON, and Databases
3. Searching with Solr
o Basic Querying: Simple and Complex Queries in Solr
o Boolean Queries, Phrase Queries, and Range Queries
o Sorting and Pagination of Search Results
o Using Filters and Facets to Refine Search Results
o Full-text Search Features: Wildcards, Proximity, and Fuzzy Matching
4. Advanced Search Features in Apache Solr
o Faceted Search: Using Facets for Data Aggregation and Categorization
o Using Solr’s Highlighting Features for Search Result Optimization
o Geo-spatial Search: Searching and Sorting Based on Geographical Data
o Using Solr for Autocompletion and Spell Checking in Search
o Boosting Search Results: Field-level and Query-level Boosting Techniques
5. Optimizing Solr for Performance
o Indexing Optimization: Speeding Up Indexing and Search Queries
o Sharding in Solr: Distributing Data Across Multiple Solr Servers
o Caching in Solr: How Caches Improve Search Performance
o Query Caching and Filter Caching Strategies
o Best Practices for Handling Large Data Volumes in Solr
6. Managing Data in Solr
o Updating Documents: Adding, Modifying, and Deleting Data in Solr
o Real-Time Indexing: Managing Updates in Real-Time
o Solr Replication: Setting Up Master-Slave Replication for Data Redundancy
o Solr Backups and Restores: Protecting Your Data
7. Scaling Solr with SolrCloud
o Introduction to SolrCloud: Distributed Search and Indexing
o Configuring SolrCloud for Horizontal Scaling and High Availability
o Understanding Zookeeper for SolrCluster Management
o SolrCloud Indexing and Searching: Managing Shards and Replicas
o Load Balancing and Failover Techniques in SolrCloud
8. Security and Authentication in Solr
o Securing Solr: Configuring Solr for Authentication and Authorization
o Integrating Solr with LDAP and Kerberos for Secure Access
o Managing User Roles and Permissions in Solr
o Secure Communication with Solr Using SSL and TLS
9. Integrating Solr with Other Technologies
o Integrating Solr with Hadoop and Spark for Big Data Processing
o Connecting Solr with Apache Kafka for Real-Time Data Ingestion
o Building Search Features in Web Applications using Solr and REST API
o Integrating Solr with Apache Flume for Data Streaming
10. Real-World Projects and Use Cases
o Building a Scalable E-Commerce Search Engine with Solr
o Implementing a Real-Time Document Search System for a News Application
o Creating a Distributed Search Solution for Large-Scale Data Warehouses
o Using Solr for Social Media Data Search and Analysis
11. Final Project and Certification Exam
o Final Project: Building a Complete Search Solution using Apache Solr
o Testing and Optimizing the Search Application for Speed and Relevance
o Final Exam: Comprehensive Assessment of Solr Skills
o Certification of Completion from ENCODE-IT and Job Placement Assistance
Why Choose ENCODE-IT for Apache Solr Training?
ENCODE-IT offers a comprehensive, hands-on approach to learning Apache Solr, focusing on
practical, real-world applications. Our expert instructors provide detailed guidance, from basic Solr
setup to advanced search optimization techniques. By working with real-world data and use cases,
you will develop the skills to implement high-performance search systems that scale.
With placement assistance, certification, and a focus on industry-relevant skills, ENCODE-IT
prepares you to excel in roles such as Search Engineer, Data Engineer, and Software Developer.
Whether you're interested in building search applications for e-commerce, document management,
or any other domain, this course will give you the tools to succeed in the growing search technology
field.
