At the heart of every archiving project is the . This is a logical container that defines which database tables and business data belong together. For example, the archiving object FI_DOCUMNT is used for financial documents, while MM_EKKO is used for purchase orders. Each object contains the logic for its write, delete, and read programs, ensuring that when data is archived, all its related components are handled together to maintain data integrity and business consistency.
For those seeking the official , it is crucial to understand its structure. This 47-page document is divided into five key sections that every archivist must master.
Finally, for high-level compliance reporting and long-term data retention, you can use the . DART allows you to generate court-admissible, legally compliant extracts of data in a structured format, ensuring you can meet any future audit or regulatory request. bit660 data archiving pdf 23
The system verifies that the data was written correctly to the storage medium (e.g., third-party storage, SAP Content Server) before final deletion. 3. Core Technical Components of SAP Archiving
To maximize the lifespan of your , follow these rules extracted from the 2023 whitepaper: At the heart of every archiving project is the
: Developing a long-term archiving strategy that balances legal retention requirements with system performance goals. Key Technical Phases in the Archiving Process
Data Archiving addresses these challenges by moving inactive data from the live production database to secure, compressed archive files. This is fundamentally different from a , which is a short-term copy for disaster recovery. Archived data is removed from the live system but remains accessible for reporting and audits, whereas backups are not designed for regular data access. Each object contains the logic for its write,
A centralized tool designed to simplify the monitoring and management of archiving sessions, particularly for large-scale projects.
Lowering the hardware footprint, which is critical when migrating to in-memory databases like SAP HANA.
SAP systems generate massive amounts of data daily. Over time, this data accumulation degrades system performance, increases storage costs, and lengthens backup windows. To counter these challenges, SAP offers the training curriculum.