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Master SAP HANA: From Fundamentals to Advanced Applications
Master SAP HANA: From Fundamentals to Advanced Applications is a detailed course designed to help you become proficient in SAP HANA, one of the most powerful in-memory database platforms. Whether you're a beginner or an experienced professional, this course covers everything from basic concepts to advanced techniques, including data modeling, administration, and application development.
What You'll Learn:
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Introduction to SAP HANA:
- Overview of SAP HANA and its architecture.
- Key features and benefits of in-memory computing.
-
Data Modeling in SAP HANA:
- Creating schemas, tables, and views.
- Using SQLScript and stored procedures.
- Advanced modeling techniques: Attribute views, Analytic views, and Calculation views.
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Data Provisioning and Integration:
- Loading data into SAP HANA using SLT, BODS, and DXC.
- Real-time data replication and integration.
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SAP HANA Administration:
- System monitoring and performance tuning.
- Backup and recovery strategies.
- User management and security.
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Advanced Topics:
- SAP HANA Native Application Development (XS Advanced).
- Integration with SAP S/4HANA and other SAP products.
- Using SAP HANA for machine learning and predictive analytics.
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Real-World Projects:
- Build a data model for a business scenario.
- Optimize and administer an SAP HANA system.
Who Is This Course For?
- IT professionals and database administrators.
- SAP consultants and developers.
- Data analysts and business intelligence professionals.
- Anyone looking to build a career in SAP HANA.
Prerequisites:
- Basic understanding of databases and SQL.
- Familiarity with SAP systems is helpful but not required.
Course Format:
- Video lectures with practical demonstrations.
- Hands-on exercises and projects.
- Access to SAP HANA sandbox environments.
- Certificate of completion.
Key Features Section:
- Comprehensive curriculum covering SAP HANA fundamentals to advanced topics.
- Hands-on projects with real-world business scenarios.
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- Overview of SAP HANA and its architecture.
- Key features and benefits of in-memory computing.
- SAP HANA vs traditional databases.
- Creating schemas, tables, and views.
- Using SQLScript and stored procedures.
- Attribute views, Analytic views, and Calculation views.
- Loading data into SAP HANA using SLT, BODS, and DXC.
- Real-time data replication and integration.
- Data provisioning best practices.
- System monitoring and performance tuning.
- Backup and recovery strategies.
- User management and security.
- SAP HANA Native Application Development (XS Advanced).
- Integration with SAP S/4HANA and other SAP products.
- Using SAP HANA for machine learning and predictive analytics.
- Build a data model for a business scenario.
- Optimize and administer an SAP HANA system.
- Present your project and receive feedback.
- Building a portfolio with SAP HANA projects.
- Tips for landing a job as an SAP HANA professional.
- Freelancing and consulting opportunities.

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