SAP Data Intelligence Training

• Understand the fundamental concepts and architecture of SAP Data Intelligence.
• Explore the key features and capabilities of SAP Data Intelligence for data management and integration.
• Learn how to set up and configure SAP Data Intelligence for optimal performance.
• Gain proficiency in using data pipelines and workflows to orchestrate data processing tasks.
• Understand the different data integration and transformation options available in SAP Data Intelligence.
• Learn how to connect to various data sources, including databases, cloud storage, and streaming platforms.
• Master the use of machine learning algorithms and models within SAP Data Intelligence.
• Gain hands-on experience in designing and deploying data pipelines using the SAP Data Intelligence interface.
• Learn best practices for data governance, data quality management, and data privacy within SAP Data Intelligence.
• Understand the role of metadata management and data lineage in ensuring data accuracy and traceability.
   

• Recorded Videos After Training
• Digital Learning Material
• Course Completion Certificate
• 24x7 After Training Support

• Data Engineers
• Data Analysts
• Data Scientists
• Data Governance Professionals
• IT Professionals
• Business Intelligence Professionals
• SAP Consultants

• Basic Knowledge of Data Management: Familiarity with fundamental concepts of data management, including data storage, data integration, and data processing, will provide a solid foundation for understanding the principles and practices covered in the course.

• Multisoft Systems provides a globally recognized training certificate after successful completion of SAP Data Intelligence Certification Course.

Module 1: Introduction to SAP Data Intelligence

• Overview of SAP Data Intelligence
• Key features and benefits
• Architecture and components
• Integration with other SAP solutions

Module 2: Data Ingestion

• Overview of data ingestion
• Configuration and deployment of data pipelines
• Use of adapters to connect to different data sources
• Real-time data ingestion using Apache Kafka
• Understanding the other data sources
• Connecting to data sources
• Data ingestion techniques
• Configuring data pipelines

Module 3: Data Processing

• Overview of data processing
• Data transformations using the Graphical Pipeline Editor
• Use of Python and R scripts for data processing
• Batch and real-time data processing
• Data preparation and transformation
• Understanding the different data formats
• Transforming data using SQL
• Configuring data quality checks

Module 4: Data Modeling

• Overview of data modeling
• Machine learning algorithms for data modeling
• Creating and deploying machine learning models
• Predictive analytics using SAP HANA
• machine learning algorithms
• Creating machine learning models
• Model training and evaluation
• Advanced modeling techniques

Module 5: Data Governance

• Overview of data governance
• Creating and managing data catalogs
• Data quality management
• Data security and compliance
• Data cataloging and metadata management
• Governing data access and security
• Data lineage and tracking

Module 6: Automation and Orchestration

• Creating workflows
• Scheduling and monitoring workflows
• Automating data processes

Module 7: Advanced Analytics

• Predictive modeling techniques
• Data visualization techniques
• Analyzing streaming data
• Using SAP Data Intelligence for real-time analytics

Module 8: Integration with Other SAP Solutions

• Integration with SAP HANA
• Integration with SAP Analytics Cloud
• Integration with SAP Business Warehouse
• Integration with SAP HANA
• Integration with SAP Analytics Cloud
• Integration with SAP Business Warehouse

Module 9: Hands-On Exercises

• Practical exercises to apply concepts learned in the course
• Configuration and deployment of data pipelines
• Use of machine learning algorithms for data modeling
• Data visualization using SAP Analytics Cloud
• Interaction with other professionals in the course
• Access to the dedicated instructor for guidance and support
• Resources for further learning and support

Module 10: SAP Concur Travel

• Logging into Concur Travel & Expense
• Exploring the My Concur Homepage
• Updating Your Travel Profile
• Changing a Trip (After Purchase)
• Working with Travel Templates
• Sharing a Trip Reservation
• Using Locate and Alert
• Cloning a Travel Reservation
• Concur Open Booking
• Creating a Travel Reservation 

Module 11: SAP Concur Concur Mobile App

• Introduction of Concur mobile app
• How to install the App for iPhone and Android phones.
• Creating the mobile pin via concur web version
• Booking Flights, hotels, and cars from Concur mobile app.
• Reviewing travel itineraries
• Attaching Receipt via mobile App
• Resolving the exception, adding attendees
• Working with E-receipt and Receipt store
• Concur mobile app settings
• Approve or reject expense report from People manager
• Adding Travel allowance and Private car mileage
• Creating expense report- Adding Cash transactions and credit card transactions

Module 12: Integrations

• Understanding SAP Concur integrations with other systems
• Setting up and configuring integrations
• Managing data exchange between SAP Concur and other systems

Module 13: Troubleshooting and support

• Understanding common issues and errors in SAP Concur
• Troubleshooting and resolving issues
• Contacting support and accessing help resources.