Case Study

Leverage Amazon EMR for Smarter Query Execution, Lower Costs, and Seamless BI Integration for an IT Firm

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Industry 

IT Services and IT Consulting

Expertise 

Amazon EMR, AWS Glue, Amazon Athena, Amazon S3, AWS IAM

Offerings/solutions 

Faster queries, lower costs, enhanced security, and smarter scalability with AWS

About the Client

Cephei Infotech is a dynamic startup driving digital transformation through scalable solutions in Data Engineering, Big Data, Web & Mobile Applications, and Business Intelligence. Committed to innovation, efficiency, and customer experience, it values trust, collaboration, and a culture of learning.

Highlights

90%

Accelerated Query Performance

35%

Cost Optimization

100%

Improved data security

The Challenge

The client faced challenges with an unstructured data repository, slow query performance, lack of scalability, and high costs. Their existing infrastructure delayed data retrieval and analysis due to unpartitioned data, impacting decision-making. They needed a structured, scalable, and cost-optimized data lake to accelerate processing, enhance BI integration, and improve analytics efficiency.

Solutions

• Implemented a scalable Amazon EMR (Trino Cluster) with Iceberg tables for faster queries.
• Used Amazon VPC for a secure environment.
• AWS DMS managed data backup and raw data ingestion.
• AWS Glue created partitioned Iceberg tables for optimized analytics.
• Compared Amazon EMR (Trino Cluster) against Amazon Athena for scalability.
• Enabled auto-scaling to dynamically adjust compute resources.
• Amazon CloudWatch monitored logs and prevented downtime.
• Tracked API calls and user activity for security and compliance.

The Results

Achieved 90% faster queries, 35% lower costs, 50% storage savings, 100% security, and 70% faster BI dashboards with AWS solutions.

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