Pdf 23 — Bit660 Data Archiving

Before diving into the PDF, let's start with the core concept. BIT660 is a standard SAP training course, and the term "Data Archiving" refers to a structured, repeatable process for removing business-complete data from your active SAP database to designated archive files.

To get the most out of BIT660 and PDF for data archiving, follow these best practices:

Define and schedule the job (Immediate or periodic background job). Step 3: Triggering the Delete Job

: Moving old data from expensive primary memory (like SAP HANA memory) to cheaper secondary storage drastically cuts down infrastructure expenses.

Once the ADK creates an archive file on the local application server, it must be moved to a permanent home. bit660 data archiving pdf 23

At its core, data archiving involves the systematic removal of completed business process data from the live database to compressed archive files. This process is governed by , which logically group related data tables—such as header and line items—to ensure business integrity is maintained during extraction.

The current standard, often referenced as (Collection 23), provides updated methodologies for managing data growth in both SAP ERP and SAP S/4HANA environments. Core Objectives of BIT660 Data Archiving

Before executing any archiving tasks, an administrator must map out exactly which database tables consume the most space and cause performance issues. BIT660 - Data Archiving - SAP Training

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. Before diving into the PDF, let's start with

Execute the pre-processing program to flag records that are ready for archiving. Step 2: Scheduling the Write Job Click the button.

Before running archiving cycles, basis consultants and data managers must configure archiving parameters via . Technical Settings

The system selects data based on defined criteria and writes it to an archive file (ADK - Archive Development Kit).

This involves configuring logical file paths and assigning physical storage locations. Efficient archiving relies on proper configuration to ensure data is accessible for read access after it has been deleted from the database. 3. Advanced Techniques and Troubleshooting Step 3: Triggering the Delete Job : Moving

Schedule archiving sessions during low-usage hours to minimize performance impact.

During this step, the system reads the eligible data sequentially from the database tables and writes it into a highly compressed archive file. At this stage, the data still exists in both the database and the new archive file. 3. The Delete Phase

Usually set between 100MB and 500MB to optimize file handling.

Permanently removes closed business data from the primary database. It converts the records into compressed, read-only .bin or .archive files and saves them to designated file paths or third-party content management systems (such as via ArchiveLink).