Data Archiving, Archiving in SAP
The data archiving agenda provides a comprehensive overview of how organizations can effectively manage growing volumes of data while maintaining overall system performance, operational efficiency, and controlling rising storage costs. It begins with an introduction to the concept of data archiving, emphasizing its purpose and business value in optimizing enterprise databases. The discussion then highlights current database trends, particularly the challenges posed by continuous growth, such as degraded system performance, complex maintenance requirements, and increased infrastructure expenses.
What you’ll learn
- SAP Data Archiving – Step by Step from Basics to Advanced.
- Data Analysis – Determining What to Archive.
- Archiving Procedure – Step-by-Step Approach.
- Proficient in Delivering SAP Data Archiving Projects End-to-End.
Course Content
- Introduction to SAP Data Archiving –> 1 lecture • 4min.
- Database Trends and Impacts –> 1 lecture • 4min.
- Data Archiving Architecture –> 1 lecture • 4min.
- Data Analysis –> 1 lecture • 4min.
- Data Archiving Methodology –> 1 lecture • 4min.
- Data Archiving Process –> 1 lecture • 18min.
- Accessing the Archived Data –> 1 lecture • 5min.
- Thank you –> 1 lecture • 1min.

Requirements
The data archiving agenda provides a comprehensive overview of how organizations can effectively manage growing volumes of data while maintaining overall system performance, operational efficiency, and controlling rising storage costs. It begins with an introduction to the concept of data archiving, emphasizing its purpose and business value in optimizing enterprise databases. The discussion then highlights current database trends, particularly the challenges posed by continuous growth, such as degraded system performance, complex maintenance requirements, and increased infrastructure expenses.
The agenda also explains the overall architecture of data archiving, covering the interaction between SAP systems, content repositories, and external archive servers. A key focus is placed on data analysis, where organizations assess which data is eligible for archiving, define residence times, and identify dependencies to ensure smooth processing and compliance.
Building on this, a structured methodology for archiving is outlined, guiding the process from planning and scoping to execution and monitoring. The detailed archiving process itself is then addressed, including the step-by-step execution, use of relevant SAP transactions, scheduling of jobs, and overall operational flow. Finally, the agenda concludes with approaches for accessing archived data, explaining how users can securely retrieve information using archive information structures and tools like the Archive Explorer, ensuring archived data remains accessible when required.