SAP HANA Cloud Knowledge Graph Engine

SAP HANA Cloud Knowledge Graph Engine teaches how to model, store, and query RDF-based knowledge graphs in SAP HANA Cloud using SPARQL alongside SQL.

This training covers knowledge graph modeling with RDF triples, SPARQL querying, SPARQL–SQL interoperability, and combining the knowledge graph engine with the vector engine so you can build GraphRAG and context-aware Business AI applications on SAP BTP.

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SAP SD

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SAP MM

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SAP ABAP Consultant

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Khushbu

Sap hcm

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Nishant Kaushik

SAP MM

Upskilled

manideepak

Manager

Career switch

Hari Shankar Jha

Senior System Admin

Upskilled

alok kumar singh

sap hcm

Placed

Jeevak

Consultant

Upskilled

Abhijit S. Getme

Consultant Engineer

Placed

Kartik Singh

SAP SD

Upskilled

Hemant Khainar

SAP MM Consultant

Placed

Neeraj Khanna

SAP MM

Placed

Burna Vinay Kumar

SAP SD Consultant

Placed

Shubham

SAP ABAP Consultant

Career switch

Shashikant

Structure Engineer

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Khushbu

Sap hcm

Curriculum

SAP HANA Cloud Knowledge Graph Engine Training, GraphRAG, Business AI, RDF triples, SPARQL querying Course Syllabus Structure

SAP HANA Cloud Knowledge Graph Engine Training introduces graph schema design using RDF triples and property graphs. Participants build a complete knowledge graph project that integrates 10,000+ semantic entities.

• Fundamentals of knowledge graphs and semantic modeling
• Difference between relational data and graph-based data
• Business use cases for knowledge graphs
• Role of knowledge graphs in AI and analytics
• Overview of SAP HANA Cloud Knowledge Graph Engine

• Knowledge Graph Engine components and services
• Integration with SAP HANA Cloud database
• RDF, triples, and graph storage concepts
• Query and reasoning architecture
• Architecture supports semantic data processing

• RDF data model and triple structure
• Ontology concepts: classes, properties, relationships
• Namespace and vocabulary management
• Designing enterprise knowledge models
• Modeling ensures meaningful semantic relationships

• Data ingestion into the Knowledge Graph Engine
• Mapping relational data to graph structures
• Handling structured and semi-structured data
• Data versioning and lifecycle management
• Data management ensures consistency

• Introduction to SPARQL query language
• Writing basic and advanced graph queries
• Filtering, joins, and pattern matching
• Query performance considerations
• Querying enables semantic insights

• Reasoning concepts and inference rules
• Ontology-based reasoning
• Deriving implicit knowledge from data
• Use of reasoning in business scenarios
• Semantic processing enhances intelligence

• Using knowledge graphs in analytics use cases
• Integration with SAP Analytics and AI services
• Enriching AI models with semantic context
• Knowledge graphs for GenAI grounding
• Integration enables intelligent insights

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India's Leadership Excellence Award 2026

Global SAP Training Spotlight Award

Brandman India · 2026

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SAP HANA Cloud Knowledge Graph Engine Training includes a private Slack channel where experts share latest SPARQL tricks. Members also receive quarterly updates on new SAP HANA Cloud features.

Evaluation & Practice Sessions

Participate in expert-led mock interviews and skill evaluation sessions after program completion.

Learning Simulation (LMS)

Lifetime access to LMS with recorded sessions, hands-on practice, and updated learning resources.

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Resume building, profile optimization, interview preparation, and placement guidance from industry experts.

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SAP HANA Cloud Knowledge Graph Engine — Flexible Batches For You

Status	Date	Type	Schedule	Time
SOLD OUT	9 Nov 2026	Weekend	SAT - SUN (08 Weeks)	18:00 - 20:00
FILLING FAST	14 Nov 2026	Weekday	MON - FRI (08 Weeks)	08:00 - 10:00
AVAILABLE	19 Nov 2026	Weekend	SAT - SUN (08 Weeks)	10:00 - 12:00

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FAQ

Frequently Asked Questions

Q: What core concepts does SAP HANA Cloud Knowledge Graph Engine Training teach? A: It teaches RDF triple modeling, SPARQL querying, and integration of GraphRAG for Business AI within SAP HANA Cloud. Q: Which tools must learners be familiar with before taking SAP HANA Cloud Knowledge Graph Engine Training? A: Learners should know basic SQL and have experience with cloud data platforms, but no prior SPARQL knowledge is required. Q: How does SAP HANA Cloud Knowledge Graph Engine Training enable Business AI use cases? A: The course shows how to convert relational data into RDF triples and apply GraphRAG to generate AI‑driven insights.

HANA Knowledge Graph training by ZebLearn covers real-time implementation, certification prep, salary trends, and career scope in 2026.

HANA Knowledge Graph is used in enterprise environments for automation, analytics, finance, HR, or supply chain processes with real use-cases.

HANA Knowledge Graph includes configuration, integrations, reporting, and automation features with hands-on learning.

HANA Knowledge Graph is compared with similar SAP modules based on use cases and integration.

Skills include SAP configuration, business understanding, and troubleshooting.

It includes requirement gathering, configuration, testing, deployment, and support.

Challenges include integration, data migration, and performance issues.

HANA Knowledge Graph is used across industries for optimization, compliance, and analytics.

Roles include consultant, analyst, and specialist with strong salary growth.

Roadmap: basics → advanced → projects → certification → interview prep.