Cloud Modernization for
Agritech & Fintech

The challenges

Complexity: The existing data warehousing solution involves intricate processes that are hard
to maintain and extend.

Rising Costs: As data volumes increase, storage and processing costs escalate significantly. The
current architecture is not optimized for cost efficiency, leading to budgetary constraints.

Lack of Scalability: Changes to source schema (DDL) require manual intervention on the Cloud
SQL-based data warehouse. This creates bottlenecks, making the system unresponsive to evolving business needs.

Additional monitoring and scaling is required when it comes to high IO throughput that requires additional resources.

Tech Stack Used

The solution deTech Stack Usedlivered multiple benefits through the use of various GCP services.

1. Cost Optimization: setting up new replication architecture results into reducing overall cost by 94%.
2. Migrating to BigQuery reduces the complexity of the data warehousing
   solution. GCP's serverless and managed services free up resources, allowing the team to focus on strategic tasks
3. BigQuery’s pricing model, based on pay-as-you-go for queries and storage, optimizes costs. The ability to store data in compressed formats further reduces expenses.
4. The system can handle growing datasets without manual interventions. Schema changes at
   the source are automatically managed through Datastream, ensuring a scalable and adaptive
   architecture.
5. The integration of Datastream with BigQuery enables near real-time data availability, empowering stakeholders to make data-driven decisions faster.
6. Cloud Logging and Monitoring with Cloud Trace ensured proactive issue resolution, while GCP Alerts enabled real-time notifications for faster response times, ensuring high availability and optimised performance.