About Course

πŸš€ SAP Data Intelligence Training

(Data Engineering, Integration & AI/ML on SAP BTP)

πŸ“˜ What is SAP Data Intelligence?

SAP Data Intelligence is a data orchestration and data engineering platform from SAP that helps organizations connect, process, and manage data from multiple sources in real time.

πŸ‘‰ It enables:

  • Data integration
  • Data pipelines
  • Data governance
  • AI/ML workflows

🎯 Course Overview

This course helps you:

  • Build data pipelines
  • Integrate multiple data sources
  • Process and transform data
  • Orchestrate data workflows
  • Work with AI/ML scenarios

πŸ‘‰ Ideal for building end-to-end data-driven solutions

βš™οΈ How SAP Data Intelligence Works

  1. Connect data sources (SAP & non-SAP)
  2. Build data pipelines (graph modeling)
  3. Process and transform data
  4. Store or send data to target systems
  5. Monitor and manage workflows

πŸ‘‰ End-to-end data lifecycle management

🏒 Real-Time Use Cases

πŸ“Š Data Integration

  • Integrating SAP & non-SAP data
  • Data migration pipelines

πŸ“ˆ Analytics & Reporting

  • Feeding data to dashboards
  • Data preparation for BI tools

πŸ€– AI / Machine Learning

  • ML model training pipelines
  • Data preprocessing workflows

🏭 Enterprise Data Management

  • Master data integration
  • Data quality management

πŸ”— SAP Integration

  • SAP S/4HANA data pipelines
  • SAP BW / HANA integration

πŸ“š Course Content for SAP Data Intelligence

πŸ”Ή Module 1: Introduction

  • SAP Data Intelligence overview
  • Data engineering concepts
  • Architecture

πŸ”Ή Module 2: SAP BTP Setup

  • Environment setup
  • Service activation
  • Role configuration

πŸ”Ή Module 3: Data Pipelines

  • Graph modeling
  • Pipeline creation
  • Operators & connections

πŸ”Ή Module 4: Data Integration

  • Connecting data sources
  • SAP & non-SAP integration
  • Data ingestion

πŸ”Ή Module 5: Data Transformation

  • Data processing
  • Data cleansing
  • Data enrichment

πŸ”Ή Module 6: Metadata & Governance

  • Metadata management
  • Data catalog
  • Governance concepts

πŸ”Ή Module 7: Machine Learning Integration

  • ML scenarios
  • Python operators
  • Model pipelines

πŸ”Ή Module 8: Monitoring & Logging

  • Pipeline monitoring
  • Logs & debugging
  • Performance tracking

πŸ”Ή Module 9: Security & Access Control

  • Role-based access
  • Data security
  • Compliance

πŸ”Ή Module 10: Deployment

  • Pipeline deployment
  • Scheduling jobs
  • Lifecycle management

πŸ”Ή Module 11: Integration with SAP Services

  • SAP HANA
  • SAP BW
  • SAP Analytics Cloud

πŸ”Ή Module 12: Real-Time Projects

πŸš€ Projects Included:

  • Data integration pipeline
  • Real-time data processing system
  • ML pipeline for predictions
  • SAP data orchestration project

Β Career Opportunities

  • SAP Data Intelligence Consultant
  • Data Engineer (SAP BTP)
  • Data Integration Specialist
  • AI/ML Data Engineer

Β Benefits of Learning SAP Data Intelligence

  • High demand in data engineering field
  • Work with real-time data pipelines
  • Integration with SAP ecosystem
  • AI/ML capabilities
  • Strong career growth

Course Duration

  • 40–50 Hours (Basic)
  • 60–70 Hours (With Advanced Topics & Project)

Β Why Choose GTC Trainings?

  • Real-time project training
  • Expert trainers
  • Hands-on pipeline development
  • Placement support

Β FAQs

Is coding required?

Basic Python knowledge is helpful but not mandatory.

Where is it used?

Used in data integration, analytics, and AI workflows.

Do you provide projects?

Yes β€” real-time data pipeline projects included.

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Who Can Learn ?

  • Data Engineers
  • SAP Consultants
  • BI / Analytics Professionals
  • Python Developers
  • IT Professionals
  • πŸ‘‰ Basic data knowledge is helpful