Data Cleanup

To improve system efficiency and data quality, customer implemented an extensive archival and purge initiative targeting outdated records. Millions of unused entries were removed from multiple tables, unused tables were truncated and custom programs were introduced for sustained maintenance. This cleanup enhanced performance, optimized storage and aligned with Oracle's best practices.

Problem

Statement

The customer system retained a large volume of outdated data from previous years, occupying unnecessary space in the database. These records were no longer in use and required archiving or purging to ensure better data hygiene. The accumulation of old records negatively impacted system performance, increased technical debt and added to storage overhead. Oracle also recommended implementing an archive and purge strategy to optimize performance and minimize system load.

Solution

Proposed

  • Archived 77M records from XXMCL _ FAH _ BILL _ LINES _ ALL to archive table.
  • Purged 282M records from XXMCL _ PO _ TLO to improve dashboard performance.
  • Cleared 800K entries from RCV _ HEADERS _ INTERFACE using data fix scripts.
  • Developed and scheduled 'MC RCV Trans Interface Table Purge' for ongoing cleanup.
  • Truncated unused staging tables, reclaiming 200GB of storage.
  • Ran Oracle's purge program for PO Interface and created custom logic to handle leftover orphan data via 'MC PO Interface Data Purge Program'.

Business

Values

01

Improved system performance by removing outdated and orphaned data.

02

Freed up significant production storage, reducing infrastructure load.

03

Enhanced data accuracy and reliability through better data hygiene.

04

Reduced technical debt by aligning with Oracle’s recommended practices.

05

Established long-term maintenance via new scheduled purge programs.