Searce Helps Indonesian Manufacturing Giant Achieve a 50% Boost to Performance and 30% Cost Savings
Challenges
A leading Indonesian manufacturing conglomerate faced limitations with its current Greenplum data warehouse platform. These challenges included:
- Scalability limitations: Greenplum struggled to scale effectively to accommodate the client’s growing data volumes.
- Query performance and latency issues: The platform experienced slow query processing times and high latency, hindering the generation of timely data-driven insights.
- Operational overhead and cost: Managing the Greenplum platform required significant resources, impacting operational efficiency and increasing costs.
These challenges limited the client’s ability to leverage data effectively for strategic decision-making. They sought a data warehouse solution that offered:
- Easy scalability: A platform that could seamlessly adapt to increasing data volumes.
- Improved query performance: A system that could deliver faster query processing times and minimize latency.
- Reduced costs and operational overhead: A solution that minimized management resources and optimized overall data warehouse expenses.
Searce Solution
The solution involved migrating 10% of the client’s data warehouse workloads from Greenplum to AWS Redshift in 12 Weeks. This migration encompassed 4 Terabytes of data, over 1,000 tables, and more than 400 functions.
To achieve this migration with minimal disruption, the following strategies were employed:
- Automated schema and stored procedure migration: Developed custom scripts to automate the migration of schema definitions and stored procedures from Greenplum to Redshift. This ensured a streamlined process with zero downtime for the client’s production systems.
- Data validation with Python scripts: Executed custom Python scripts within the Redshift environment to thoroughly validate the migrated data and its corresponding data types. This guaranteed data integrity and accuracy after the migration.
- Dynamic Glue jobs for data ingestion: Created dynamic AWS Glue jobs to handle the ingestion of data from various sources, including SAP, PostgreSQL, and MySQL. These jobs were designed to manage multiple input files, eliminate duplicate data, and ensure proper schema enforcement during the data loading process.
- Meticulous migration planning: Planned meticulously to account for the absence of a dedicated development environment for the client’s production system. Searce identified optimal migration windows and strategically scheduled multiple migration jobs to run in parallel. This minimized the overall migration time and ensured a smooth transition.
By implementing these strategies, Searce successfully addressed the client’s Greenplum limitations and delivered a robust data warehouse solution on AWS Redshift.
Business Impact
- Measurable Performance Gains: Incremental data loads now experience a well over 50% improvement in performance compared to the prior data warehouse platform. Additionally, a significant 80% performance uptick was observed in critical Microstrategy reports following a streamlined “lift and shift” migration approach.
- Reduced Costs and Optimized Spending: The migration to AWS Redshift has yielded a substantial 30% cost saving to date, with an estimated additional 10% yearly demonstrating a clear return on investment. Furthermore, configurable dynamic Glue jobs offer a future-proof solution to accommodate evolving data ingestion needs.
- Enhanced Visibility and Cost Management: Granular visibility into maintenance, operational, and SKU-level costs on Redshift is now available to client stakeholders, enabling optimized cost and performance management.
- Seamless Migration with Zero Downtime: The entire data workload migration from Greenplum to Redshift was automated and completed with zero downtime, ensuring no disruption to the client’s production systems.
Our team of solvers empowered the client to unlock the true value of their data, driving significant performance gains, cost savings, and a future-proof data foundation.