Apache Solr Training by Laliwala
IT is designed for search engineers, developers,
and big data professionals who want to master
Solr for high-performance search and indexing.
Based in Ahmedabad, Gujarat,
India, we deliver live,
interactive, project-based training covering
everything from Solr fundamentals to advanced
querying, faceting, performance tuning, and
enterprise integrations.
Our online Apache Solr course features
real-time instructor-led classes,
hands-on projects, flexible schedules, and
career guidance. Whether you're a
beginner or an experienced developer, this
training will make you proficient in building
scalable search solutions with Solr.
Course Modules — Comprehensive Apache Solr
Training (5-6 Weeks | 40+ Hours)
- Module 1: Solr
Fundamentals – Lucene
basics, Solr architecture, index
structure, search workflow, request
handlers
- Module 2: Installation &
Configuration – Solr
setup (standalone/cloud), core/admin
UI, solrconfig.xml,
schema.xml/managed-schema
- Module 3: Indexing
Data – Posting tool,
DataImportHandler (DIH), indexing
JSON/XML/CSV, SolrCell for documents
- Module 4: Querying &
Search – Standard query
parser, DisMax/edismax, filter
queries, sorting, boosting,
highlighting
- Module 5: Faceting &
Analytics – Field
faceting, query faceting, range
faceting, pivot faceting, stats
component
- Module 6: Text Analysis &
Tokenization –
Analyzers, tokenizers, filters,
custom tokenizers, character
filters, N-grams
- Module 7: Solr Cloud &
Sharding – ZooKeeper
integration, shard splitting,
replication, load balancing,
failover
- Module 8: Performance
Optimization – Caching
(filter, query, document), index
warming, merge factors, JVM tuning
- Module 9: Advanced
Features – Spell
checking, autocomplete/suggesters,
grouping/field collapsing,
geospatial search
- Module 10: Solr +
Integration – Solr with
HBase, HDFS, Kafka, Elasticsearch
migration, REST API usage
- Module 11: Security &
Monitoring –
Authentication, authorization, SSL,
metrics API, admin logging, Solr
metrics
- Module 12: Real-World
Capstone Project –
Build e-commerce/product search with
filters, facets, autocomplete
What's Included in Apache Solr Training?
- Live
Instructor-led classes
(real-time Q&A, screen sharing, doubt
clearing)
-
Recorded sessions for
revision anytime
-
Hands-on assignments &
industry-level search projects
-
Study materials (PDFs, Solr
configs, schema examples)
-
Certificate of completion
(recognized by industry partners)
-
Placement assistance –
resume & interview prep, freelance guidance
-
Lifetime access to course
updates and alumni community
Detailed Curriculum Highlights
Week 1-2: Core Solr & Search
Fundamentals
- Introduction to search engines
and Apache Lucene
- Solr installation modes:
standalone vs SolrCloud
- Understanding Solr cores,
collections, configuration files
- Defining schema: field types,
fields, copy fields, dynamic
fields
- Indexing data using various
clients (curl, Admin UI, SolrJ)
- Querying basics: q, fq, start,
rows, filter queries
- Working with highlighting and
explaining query results
- Field boosting, document
boosting, function queries
Week 3-4: Advanced Querying,
Faceting & Analysis
- edismax query parser: field
aliases, boost functions, phrase
boosting
- Building faceted search: field,
range, interval, pivot facets
- Analytics: stats component,
terms component, suggestions
- DataImportHandler (DIH):
indexing from DB/CMS,
delta-imports
- Custom analyzers: tokenizers
(Whitespace, Standard, NGram),
filters (synonym, stopword,
stemmers)
- Spell check and autocomplete
suggesters:
AnalyzingInfixSuggester,
FreeTextSuggester
- Grouping/Field collapsing for
duplicate removal
- Geospatial search: spatial
filters, spatial ordering,
polygon indexing
Week 5-6: SolrCloud, Performance &
Capstone
- SolrCloud architecture:
ZooKeeper, shards, replicas,
leaders
- Distributed indexing and
querying across shards
- Cache configurations:
filterCache, queryResultCache,
documentCache
- Performance tuning: warmup
queries, auto-warming, index
merge tuning
- Integration with Hadoop HDFS for
index storage
- Real-time indexing with Kafka +
Solr Streams
- Security: basic auth, kerberos,
role-based access control
- Capstone: Build complete product
search engine with facets,
suggestions, and analytics
dashboard
Tools & Technologies Covered
- Apache Solr 8.x / 9.x, Lucene,
ZooKeeper
- Java 11+, SolrJ Client, Python
(pysolr), cURL
- Data Sources: MySQL, PostgreSQL,
HBase, HDFS, MongoDB
- Integration: Kafka, Flume,
Nutch, Liferay, Drupal
- Deployment: Docker, Kubernetes,
AWS, GCP
- Monitoring: Prometheus, Grafana,
Solr Admin UI
Why Choose Laliwala IT for Apache Solr Online
Training?
- Industry Expert
Trainers: 10+ years of
search & big data experience
- Live Project
Experience: Build at
least 3 real-world search
applications + final portfolio
- Flexible Batches:
Weekday & weekend options, recorded
backup for missed classes
- Small Batch Size:
Max 10-12 students for personalized
attention
- Affordable Fees:
High-quality training at competitive
rates from Ahmedabad hub
- Job Assistance:
Regular tie-ups with IT companies &
placement cell
- Certification: ISO
& Govt recognized certificate after
successful completion
- 24/7 Lab Access:
Online Solr clusters & learning
management system
- Global Recognition:
Trained students from India, USA,
UK, Canada, Australia, UAE
- Post-training
Support: Doubt clearing
via dedicated forum & email for 6
months
Who Should Join?
- Search engineers and developers
working on e-commerce/applications
- Big data engineers implementing
search over Hadoop/HBase
- Java developers building
search-enabled applications
- Database administrators moving from
DB search to Solr
- Software architects designing search
platforms
- College students seeking job-ready
search engine skills
- Working professionals aiming for
Solr certification