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Introduction

SAP HANA Training Course focuses on enabling organizations to harness real-time data analytics and business intelligence for faster and smarter decision-making. In today’s data-driven environment, enterprises require high-performance platforms that can process large volumes of data without delays. SAP HANA transforms traditional data management by using in-memory processing to deliver instant insights and improved system performance.

This SAP HANA: Real-Time Data Analytics and Business Intelligence Training Course provides a complete understanding of SAP HANA as both a database and an advanced analytics platform. Participants will explore how SAP HANA integrates transactional and analytical data, supports predictive analytics, and connects with solutions such as SAP S/4HANA and SAP Analytics Cloud.

Through practical exercises and real-world scenarios, this SAP HANA Training Course equips professionals with the skills to model data, create dashboards, and drive enterprise-wide intelligence for digital transformation.

What are the Goals?

SAP HANA Course objectives are designed to build strong expertise in real-time analytics, data modeling, and business intelligence integration. This training course enables participants to effectively manage and analyze enterprise data for improved performance and decision-making.

By the end of this SAP HANA Training Course, participants will be able to:

  • Understand SAP HANA architecture, components, and core functionalities
  • Explain the benefits of in-memory data processing for business performance
  • Model and manage data using SAP HANA tools and environments
  • Integrate SAP HANA with ERP and analytics platforms
  • Develop real-time dashboards, reports, and analytical applications
  • Apply predictive analytics, machine learning, and data visualization techniques
  • Implement data governance, security, and performance optimization practices

Who is this Training Course for?

SAP HANA Training Course is designed for professionals involved in data analytics, business intelligence, and enterprise system architecture. It is ideal for individuals seeking to enhance their expertise in real-time data processing and advanced analytics solutions.

This training course will be beneficial for:

  • Data analysts, BI professionals, and reporting specialists
  • IT managers and enterprise architects
  • SAP HANA developers and database administrators
  • Business intelligence and analytics consultants
  • Project managers driving data-driven and digital transformation initiatives

How will this Training Course be Presented?

SAP HANA Training Course uses an interactive and practical approach to ensure participants gain both conceptual understanding and hands-on experience. Instructor-led sessions are combined with demonstrations and real-world examples to explain core SAP HANA concepts.

Participants will engage in hands-on labs, workshops, and case studies to practice data modeling, reporting, and analytics development. Exercises include building calculation views, creating dashboards, and working with real-time datasets.

Group discussions and simulation-based learning help participants understand how to apply SAP HANA capabilities in business scenarios, including predictive analytics and performance optimization. This structured approach ensures learners are prepared to implement SAP HANA solutions and support enterprise intelligence initiatives effectively.

Course Content

Day 1

Day One: Introduction to SAP HANA and In-Memory Computing

  • Evolution from traditional databases to in-memory computing
  • SAP HANA architecture and components: database, studio, and client tools
  • Real-time analytics and hybrid transactional-analytical processing
  • Understanding columnar storage and data compression
  • Hands-on: exploring the SAP HANA Studio environment
Day 2

Day Two: Data Modeling and Management in SAP HANA

  • Data provisioning methods: SLT, Data Services, Smart Data Integration
  • Modeling concepts: attributes, measures, and hierarchies
  • Creating calculation views and analytical models
  • Managing data schemas, joins, and relationships
  • Workshop: building a sales and finance data model in SAP HANA
Day 3

Day Three: Analytics, Reporting, and Business Intelligence Integration

  • Connecting SAP HANA to SAP BusinessObjects and SAP Analytics Cloud
  • Developing analytical reports and KPI dashboards
  • Using SQLScript for data transformation and advanced queries
  • Building visualizations and storyboards for management reporting
  • Case study: real-time business analytics for executive decision-making
Day 4

Day Four: Predictive Analytics and Advanced Data Applications

  • Introduction to predictive analytics in SAP HANA
  • Machine learning integration and data science capabilities
  • Text, spatial, and graph data analysis
  • Integration with external tools such as R and Python
  • Group exercise: building a predictive model in SAP HANA
Day 5

Day Five: Data Governance, Performance, and Digital Transformation

  • SAP HANA security, user roles, and access control
  • Backup, recovery, and system optimization techniques
  • Data lifecycle management and archiving
  • SAP HANA in digital transformation and cloud architecture
  • Capstone project: designing a HANA-based enterprise analytics strategy

The Certificate

Recognition
  • Anderson Certificate of Completion for delegates who attend and complete the training course
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