What is SAP HANA Live and should we use it?

Espresso Tutorials

Fabian Bentz

SAP HANA Advanced Modeling CoverWhat is SAP HANA Live? SAP HANA Live represents a prebuilt number of views that are used for operational reporting. The views are based on the standard transactional tables that can either be replicated from the operational system into a data warehouse or used directly in the operational system. The prebuilt views are not only available for SAP ERP systems, but also for some industry-specific solutions.

The decision to install and use SAP HANA Live in your SAP HANA system needs to be based on the following factors:

  • How many of the reporting requirements can be covered with the
    query views in SAP HANA Live?
  • How much customization exists in your SAP ERP system?
  • How much data do you have in your transactional system? Could
    the joins in the views cause issues?

Therefore, when looking at these questions and at the arguments above,
you should consider whether it makes sense to implement SAP HANA
Live at your company at all. In our experience with customers, the majority
do not implement SAP HANA Live and if they do, they enhance it significantly.

Dive into SAP HANA Live and SAP HANA Advanced Modeling.

This book introduces developers and architects to the methods and options for implementing smart SAP HANA solutions based on real-world projects, and field tests. It contains clear recommendations for setting up data models, optimizing performance, using the SAP HANA modeler and development perspectives, and for solving complex requirements efficiently. Using a case study to walk through SAP HANA design elements and options, the authors share practical examples, tips, and screenshots for explaining and demonstrating the intricacies of SAP HANA. This book provides SAP HANA design patterns with the best balance between performance, memory consumption, and maintainability. Learn how to leverage advanced modeling techniques for implementing a sustainable architecture and for solving further business problems.

  • Data modeling guidelines and common test approaches
  • Information view performance optimization
  • Modular solutions to complex requirements
  • Best practices and recommendations