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How we transformed an on-premise infrastructure to a scalable AWS cloud solution for IndiaMART InterMESH Ltd
April 2025 - Present • 2 months
Client
Company
Personal Project
Category
Ongoing
Duration
2 months
Project Overview
In the rapidly evolving digital landscape, businesses are increasingly turning to cloud solutions to enhance scalability, reduce infrastructure costs, and improve overall operational efficiency. This case study examines how we successfully migrated IndiaMART's on-premises systems to Amazon Web Services (AWS), transforming their data infrastructure and enabling more robust business intelligence capabilities through Power BI reporting.
The Challenge
IndiaMART, India's largest online B2B marketplace, was facing several challenges with their existing on-premises infrastructure:
- Scalability limitations during peak business periods
- High maintenance and operational costs for physical servers
- Limited flexibility for data processing and analytics
- Inefficient reporting processes for Sales and HR departments
- Concerns about data security and disaster recovery
The company needed a modern cloud solution that could address these challenges while providing a foundation for future growth and innovation.
Our Solution
We designed and implemented a comprehensive AWS migration strategy that included:
1. Data Migration
We extracted data from the existing on-premises systems and migrated it to Amazon S3, establishing a robust data lake architecture. This involved careful planning to ensure data integrity and minimal disruption to business operations during the transition.
2. Warehouse Implementation
Using Amazon Redshift, we created a high-performance data warehouse optimized for analytics and reporting. This allowed for efficient storage and fast querying of large datasets, significantly improving the performance of business intelligence operations.
3. ETL Pipeline Development
We developed efficient ETL (Extract, Transform, Load) pipelines using AWS Glue and PySpark to process Parquet files from S3. These pipelines were designed to be highly scalable, fault-tolerant, and capable of handling the company's growing data needs.
4. BI Report Generation
We integrated Power BI with the new AWS infrastructure to create interactive dashboards and reports for the Sales and HR departments. This provided stakeholders with real-time insights and improved decision-making capabilities.
Technical Stack
Key Results
50%
Reduction in data storage costs on Amazon Redshift
99.9%
System reliability and uptime
40%
Increase in reporting speed
60%
Faster data processing times
The migration to AWS delivered significant business benefits:
- Enhanced scalability to handle fluctuating workloads and business growth
- Improved data accessibility for different departments
- Real-time reporting capabilities that accelerated decision-making
- Reduced total cost of ownership for the infrastructure
- Better security and compliance with industry standards
- A foundation for future innovation in data analytics and machine learning
Conclusion
The successful migration of IndiaMART's infrastructure to AWS demonstrated the transformative potential of cloud computing for established businesses. By leveraging AWS services and implementing modern data engineering practices, we created a scalable, cost-effective, and high-performance solution that continues to support the company's growth and analytics needs.
This project showcases our team's expertise in cloud migration, data engineering, and business intelligence, as well as our ability to deliver complex projects that align with client business goals and create lasting value.
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