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- Learn how a BW layer architecture and ETL performance relate to each other
- Examine approaches to identify bottlenecks and optimize a BW landscape in a structured and targeted manner
- Take a look at the central BW objects constituting an efficient layered architecture and explore practices to improve data loading, i.e. read and write access for them
- Examine the importance of the quality of a dimensional model and an approach to improve it
- Basic to advanced know-how in BW modelling
- Know-how in ABAP modelling (for related sections)
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This course introduces to important principles to improve performance of your nightly loading processes in BW. You will be able to understand typical shortcomings in data models.
To achieve this, it covers optimization approaches for the most important data target types in BW. In addition,it introduces improvement approaches for upstream layers and provides valuable tips for ABAP optimizations related in the BW domain.
You should expect this course to be your companion for your very own journey in your own BW system. Learn the principles and approaches and use them in your own system right away!
At the end of this course you will be able to take your BW operations to the next level performance-wise.
- Students that want to improve their data loading performance in traditional stack RDBMS BW landscapes
- Students that want to learn structured approaches to identify bottlenecks and create options to improve their system
- Students that need urgently solutions to improve their loading performance
This lecture provides a quick revisit to layered architectures and their building blocks.
There exist interrelations between your layered architecture and performance during periodic dataloads, i.e. backend performance. In this lecture, learn how those interrelations are characterized.