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SAP HANA

  • Parth Kosarkar image

    By - Parth Kosarkar

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  • 2 Hours
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Course Requirements

  • SAP HANA is SAP Database Administration which is based on In memory computing and latest in industry. SAP is moving everything to SAP HANA in 2025 hence it is future in SAP and must know for every SAP user.
  • Course covers from Basics to Advanced SAP HANA Administration topics & foundation for SAP S4 HANA.

Course Description

๐Ÿ“˜ Course Name:

SAP HANA โ€“ SAP's In-Memory Computing Platform


๐ŸŽฏ Course Objective:

This course will provide you with a thorough understanding of SAP HANA (High-Performance Analytic Appliance), an in-memory data platform that is revolutionizing the way enterprises handle real-time data. You'll learn to leverage SAP HANA for developing applications, real-time reporting, and analytics, and to integrate it with other SAP systems.


๐Ÿง‘โ€๐Ÿซ Who Should Take This Course?

  • SAP professionals seeking to upskill in HANA technology
  • Data scientists and analysts working with big data
  • Database administrators and developers
  • Consultants in SAP Cloud, SAP S/4HANA, or SAP BI
  • IT professionals aiming for a career in SAP-based data platforms

๐Ÿ“ Prerequisites:

  • Basic understanding of databases and SQL
  • Familiarity with SAP modules (not mandatory but helpful)
  • No advanced programming skills needed, but coding knowledge (e.g., SQL, Python) is a plus

โณ Course Duration:

  • Classroom Training: 6โ€“8 weeks (depending on pace and schedule)
  • Online Training: 6โ€“10 weeks (flexible depending on mode)

๐Ÿซ Course Content:

๐Ÿ”น 1. Introduction to SAP HANA

  • Overview of SAP HANA architecture
  • In-memory computing technology
  • Differences between traditional databases and SAP HANA
  • Key components and modules of SAP HANA (HANA DB, XS engine, Data Services)

๐Ÿ”น 2. SAP HANA Architecture & Deployment Options

  • SAP HANA Database Architecture (row store, column store, and hybrid)
  • Understanding of HANA components: HANA Studio, HANA Cockpit, HANA XS Engine
  • HANA deployment models: On-premise vs. cloud, Hybrid model, SAP HANA Cloud

๐Ÿ”น 3. SAP HANA Installation & Configuration

  • System requirements for HANA
  • HANA installation steps (using HANA Studio and HANA Cockpit)
  • Post-installation tasks
  • Configuring HANA parameters for optimal performance

๐Ÿ”น 4. Data Modeling in SAP HANA

  • Data Modeling Tools: HANA Studio, Web-based HANA modeling tools
  • Schema Creation and best practices
  • Attribute views, Analytic views, Calculation views
  • HANA Data Models and integration with SAP BW and SAP S/4HANA
  • Data access and optimization techniques

๐Ÿ”น 5. SAP HANA Data Provisioning and Integration

  • SAP Data Services for ETL operations
  • Connecting SAP HANA to other data sources (e.g., flat files, databases, and third-party systems)
  • Real-time data provisioning (SDI, SDA)
  • Data replication using SAP Landscape Transformation (SLT)

๐Ÿ”น 6. SQL & Advanced HANA SQL

  • Basics of SQL scripting and SQLScript for SAP HANA
  • Creating complex calculations and procedures in HANA
  • Using Table Functions, Stored Procedures, and Triggers
  • HANA SQL optimization techniques

๐Ÿ”น 7. SAP HANA Reporting & Analytics

  • Overview of reporting tools like SAP Lumira, SAP BusinessObjects, and SAP Analytics Cloud (SAC)
  • HANA views for reporting and analytics
  • Real-time analytics using HANA database
  • Integration with other SAP modules (e.g., SAP BW, SAP BusinessObjects)

๐Ÿ”น 8. Performance Tuning & Optimization in SAP HANA

  • Query performance optimization techniques
  • Indexing, partitioning, and data compression
  • Memory management and tuning for large data sets
  • Monitoring and troubleshooting performance issues using HANA Cockpit and HANA Studio

๐Ÿ”น 9. Security and Administration in SAP HANA

  • User management, roles, and authorization
  • Securing data using encryption and auditing
  • Backups and recovery strategies in HANA
  • Data governance and compliance (GDPR, etc.)
  • SAP HANA administration tasks (system checks, health monitoring)

๐Ÿ”น 10. SAP HANA Cloud

  • Key features and advantages of SAP HANA Cloud
  • HANA Cloud data integration with S/4HANA and SAP Business Technology Platform (BTP)
  • Data sharing, application development, and deployment in the cloud

๐Ÿ”น 11. Real-Time Scenarios and Use Cases

  • Hands-on exercises with real-world scenarios
  • SAP HANA with Internet of Things (IoT), Big Data, Machine Learning
  • Case studies of companies using SAP HANA for business transformation

๐Ÿ› ๏ธ Tools Used:

  • SAP HANA Studio for data modeling and administration
  • SAP HANA Cockpit for system monitoring and performance tuning
  • SQLScript for writing advanced queries
  • SAP Lumira and SAP Analytics Cloud (SAC) for data visualization and reporting

Course Outcomes

๐Ÿ… Certification Covered:

  • SAP Certified Technology Associate โ€“ SAP HANA 2.0 (S/4HANA)
  • SAP Certified Application Associate โ€“ SAP S/4HANA for Cloud

๐Ÿ“ˆ Career Opportunities:

  • SAP HANA Consultant (Functional and Technical)
  • SAP HANA Developer (HANA SQL & SQLScript)
  • SAP HANA Administrator (system setup, maintenance)
  • SAP Data Architect (HANA-based solutions)
  • SAP Analytics Consultant (for reporting and dashboard solutions)

Course Curriculum

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Instructor

Parth Kosarkar

As the Super Admin of our platform, I bring over a decade of experience in managing and leading digital transformation initiatives. My journey began in the tech industry as a developer, and I have since evolved into a strategic leader with a focus on innovation and operational excellence. I am passionate about leveraging technology to solve complex problems and drive organizational growth. Outside of work, I enjoy mentoring aspiring tech professionals and staying updated with the latest industry trends.

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