- Amazon Redshift
- AWS DMS
- HP-UX
- Linux
- Redshift Spectrum
- AWS Backup
- Python
- AIX
Enterprise Database Migration and Optimization to Amazon Redshift with Disaster Recovery
BI & Data Engineering
A leading data management company sought to optimize their database backup and restoration processes for large-scale tables that require complete refreshes. Their existing system involved periodic data dumps and manual restoration procedures, which were inefficient and susceptible to human error. The client needed an automated solution to streamline their data management operations and ensure data integrity.
Manual data dump and copy process, possibly using basic shell scripts and cron jobs.
Automated data dump and copy system using Python scripts, airflow jobs for scheduling, parallel restoration script using Python scripts.
4-6 weeks
We implemented an automated system to dump and copy large tables to a separate server every 2 hours, coupled with a parallel restoration script. This reduced recovery time and minimized the need for manual intervention.
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
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