Data Analytics

ETL Process for Data Company

A prominent organization with over 100+ servers supporting their applications, faced the challenge of effectively analyzing and visualizing the massive amounts of log data

Client Data Company
Duration 3-6 months
Team Size 3-5 people
Views 6
ETL Process for Data Company

The Challenge

A prominent organization with over 100+ servers supporting their applications, faced the challenge of effectively analyzing and visualizing the massive amounts of log data

Our Solution

Developed a comprehensive solution using ElasticSearch, ELK, ETL with a focus on scalability, performance, and user experience. Implemented microservices architecture for better maintainability and deployed on cloud infrastructure for high availability. Integrated real-time monitoring, automated workflows, and robust security measures to ensure reliable operation.

Key Features

Responsive and intuitive user interface
Real-time data synchronization
Advanced analytics and reporting
Role-based access control
Automated workflows and notifications
Built with ElasticSearch, ELK, ETL

Technologies Used

ElasticSearch ELK ETL

Results & Impact

• Processing 10TB+ data daily from 100+ servers\n• Reduced log analysis time from hours to minutes\n• Real-time dashboards with sub-second refresh\n• Identified and resolved 90% of issues proactively

60%

Performance Improvement

40%

Cost Reduction

10x

User Growth

4.7/5

Customer Satisfaction

"Working with Quilltez has been exceptional. They delivered a robust, scalable solution that exceeded our expectations and timeline."

Data Company Project Manager, Data Company

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Let's work together to create innovative solutions that drive real business results. Contact us today for a free consultation.

Leo Pathu - CEO Quilltez

Leo Pathu

CEO - Quilltez

Creating a tech product roadmap and building scalable apps for your organization.

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