SPARQL Training

13 Lesson

40 Hours

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igmGuru offers a SPARQL Training program designed for learners of all levels. This course covers all essential concepts including RDF fundamentals, SPARQL query structure, basic and advanced graph patterns, filtering and expressions, property paths, aggregates, constructing new RDF data, SPARQL Update operations, federated queries, reasoning, and much more. The course curriculum is developed by seasoned Semantic Web and Knowledge Graph experts with over 10 years of industry experience. Enroll in our SPARQL certification course to gain practical, real-world experience in writing powerful queries, integrating SPARQL into applications, and working effectively with modern knowledge graph technologies.

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Overview

Prerequisites

Understanding of data concepts (tables, relationships, structured/unstructured data)
Ability to work with text editors, command-line tools (optional but helpful)
RDF / Semantic Web Foundations Knowledge (recommended)

What Will You Learn

What is the Semantic Web?
Why SPARQL? Use cases and applications
RDF Data Model: triples, subjects, predicates, objects
Understanding vocabularies and ontologies
SPARQL query structure
Prefixes and namespaces
Comparison operators
Working with named graphs
Using aggregates in complex queries
BUILDING new RDF graphs
USING LOAD, CLEAR, CREATE, DROP
Querying across multiple SPARQL endpoints

Key Features

100% Job Assistance
1 On 1 Training Option Available
24 X 7 Lifetime Support & Access
Small Batches Upto 10 Participants
Experienced & Professional Trainers
Flexible Schedule

Course Curriculum

Lesson 1 - Introduction to the Semantic Web

1. What is the Semantic Web?

2. RDF, RDFS, OWL overview

3. Linked Data principles

4. Why SPARQL? Use cases and applications

Lesson 2 - RDF Fundamentals

1. RDF Data Model: triples, subjects, predicates, objects

2. IRIs, blank nodes, literals

3. RDF serialization formats: Turtle, RDF/XML, JSON-LD

4. Understanding vocabularies and ontologies

Lesson 3 - SPARQL Basics

1. SPARQL query structure

2. SELECT queries

3. Basic graph patterns

4. Triple pattern matching

5. Prefixes and namespaces

Lesson 4 - Filtering and Expressions

1. FILTER conditions

2. Comparison operators

3. Logical operators

4. Regex and string functions

5. Working with numeric and date functions

Lesson 5 - Handling Optional and Alternative Patterns

1. OPTIONAL patterns

2. UNION patterns

3. GRAPH keyword

4. Working with named graphs

Lesson 6 - Aggregation and Grouping

1. GROUP BY

2. COUNT, SUM, AVG, MIN, MAX

3. HAVING clauses

4. Using aggregates in complex queries

Lesson 7 - SPARQL Modifiers

1. ORDER BY

2. LIMIT / OFFSET

3. DISTINCT and REDUCED

4. Using BIND and VALUES

Lesson 8 - Constructing New RDF Data

1. CONSTRUCT queries

2. Template creation

3. Practical transformations

4. BUILDING new RDF graphs

Lesson 9 - Updating RDF Data (SPARQL Update)

1. INSERT DATA

2. DELETE DATA

3. INSERT/DELETE WHERE

4. USING LOAD, CLEAR, CREATE, DROP

Lesson 10 - Federated Queries

1. SERVICE keyword

2. Querying across multiple SPARQL endpoints

3. Linked data federation use cases

Lesson 11 - Property Paths

1. Simple and complex property paths

2. *, +, ?, and | operators

3. Navigating large graphs efficiently

Lesson 12 - Advanced Features

1. Subqueries

2. Using RDF reasoning with SPARQL

3. Inferencing with RDFS/OWL

4. Performance tuning and optimization techniques

Lesson 13 - Working with SPARQL Endpoints and Tools

1. Apache Jena Fuseki

2. GraphDB

3. Blazegraph

4. Virtuoso

5. Using SPARQL in applications (Python, JavaScript, Java, etc.)

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1-800-7430-173 (US Toll Free)

+91 7240740740 (India)

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Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 40 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 16 Jun 2026
Weekday Batch 22 Jun 2026
Weekend Batch 20 Jun 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

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SPARQL Certification

We provide an industry-recognized Course Completion Certificate upon successfully finishing the SPARQL Training program. This certificate validates your expertise in writing SPARQL queries, working with RDF data, and using knowledge graph technologies.

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SPARQL Training