Overview of Course

Our SPARQL Training course is designed for individuals who want to learn the Semantic Web standards and become proficient in SPARQL, the query language for RDF graphs. This course covers both the basics and advanced concepts of SPARQL, enabling learners to build their own queries and manipulate data.

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Course Highlights

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Build SPARQL queries to manipulate RDF data

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Understand the principles of the Semantic Web

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Hands-on training with practical exercises

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Skills You’ll Learn


SPARQL query language


Semantic Web principles


RDF data manipulation


Query optimization


Linked Data principles


Data integration

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1-on-1 Training

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  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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Course Reviews


  • Overview of SparQL and its features
  • SparQL as a query language for RDF data
  • Comparison with other query languages

  • Installing and configuring SparQL engine
  • Creating a dataset for SparQL queries
  • Loading data into a SparQL endpoint

  • Syntax and structure of SELECT queries
  • Querying for specific properties and values
  • Using wildcards and variables in SELECT queries

  • Constructing basic graph patterns
  • Combining graph patterns with logical operators
  • Querying for optional and alternative patterns

  • Sorting query results by specific criteria
  • Filtering query results based on specific conditions
  • Using comparison and regular expression operators

  • Limiting the number of query results
  • Paginating query results
  • Using offset and limit keywords

  • Aggregating query results using functions like COUNT, SUM, AVG
  • Using subqueries to construct more complex queries
  • Using EXISTS and NOT EXISTS operators

  • Grouping query results based on specific properties
  • Aggregating results within groups
  • Using HAVING clause for group-level filtering

  • Constructing property paths to navigate through RDF graphs
  • Using wildcard and specific property paths
  • Querying for inverse properties

  • Using shortest path algorithms to find shortest paths between nodes
  • Using FILTER and other operators with shortest path queries
  • Comparing different shortest path algorithms

  • Binding values to variables in queries
  • Using DISTINCT keyword to remove duplicate query results
  • Using REDUCED keyword to optimize query execution

  • Using DESCRIBE queries to retrieve metadata about resources
  • Using CONSTRUCT queries to construct RDF graphs
  • Combining DESCRIBE and CONSTRUCT queries

  • Using ASK queries to check if a pattern exists
  • Using SELECT queries to retrieve data
  • Using CONSTRUCT queries to create new RDF graphs
  • Using DESCRIBE queries to retrieve metadata

  • Using UPDATE queries to modify RDF graphs
  • Using DELETE and INSERT clauses to modify specific RDF triples
  • Using WHERE clause to filter RDF triples to be updated

  • Using ASK queries to check for the existence of a pattern
  • Using ASK queries with FILTER and other operators
  • Combining ASK queries with other query forms
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Target Audience:

  • Data analysts
  • Database developers
  • Software engineers
  • Semantic Web developers
  • Data scientists
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  • Basic knowledge of RDF and Linked Data
  • Familiarity with database concepts and SQL
  • Programming experience in any language
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Benefits of the course:

  • Gain expertise in SPARQL query language
  • Understand the principles of Semantic Web and Linked Data
  • Learn advanced SPARQL features for data manipulation
  • Apply SPARQL knowledge to real-world applications
  • Get certified as a SPARQL developer
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Exam details to pass the course:

  • Online exam with multiple-choice questions
  • Passing score: 70%
  • Exam duration: 90 minutes
  • Retake policy: 1 retake allowed within 6 months of the first attempt
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Certification path:

  • Certified SPARQL Developer (CSD)
  • Certified SPARQL Expert (CSE)
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Career options after doing the course:

  • Semantic Web developer
  • Linked Data specialist
  • Data analyst
  • Database developer
  • Data scientist

Why should you take this course from Skillzcafe:

Why should you take this course from Skillzcafe:
  • Bullet Icon Instructor-led live online sessions
  • Bullet Icon Hands-on training with practical exercises
  • Bullet Icon Access to course materials and recordings
  • Bullet Icon Certified and experienced trainers
  • Bullet Icon Affordable course fees


Yes, this course covers both the basics and advanced concepts of SPARQL, making it suitable for beginners as well as experienced professionals.

Yes, basic programming experience in any language is required to take this course.

Yes, you can retake the exam within 6 months of the first attempt.

The course duration is 45 hours.

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