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USE CASE
TRUSTLY
Trustly’s AWS Environment Setup with Amazon Redshift
About Client
Trustly is a leading fintech company that offers fast, simple, and secure online banking payments directly from bank accounts. The company operates across Europe and North America, providing a seamless online payment experience. With a growing customer base and an increasing volume of transaction data, Trustly needed a robust data warehousing solution to handle their analytics and reporting needs.
Key Challenges
Key Challenges
- Scalability: Handling large volumes of transaction data with the ability to scale as the data grows.
- Performance: Ensuring fast query performance for real-time analytics and reporting.
- Security: Protecting sensitive financial data and ensuring compliance with industry regulations.
- Integration: Seamlessly integrating with existing systems and data sources.
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Solution
Solution
- Assessment and Planning: Evaluated Trustly’s data infrastructure and recommended Amazon Redshift for scalability and performance.
- Setting Up the AWS Environment: Configured VPC, IAM roles, and security groups for a secure AWS environment.
- Configuring Amazon Redshift: Deployed and configured an Amazon Redshift cluster for balanced performance and cost-efficiency.
- Data Migration: Migrated data using AWS Data Pipeline and AWS Glue, ensuring data integrity and consistency.
- Performance Optimization: Implemented strategies like distribution styles, sort keys, and compression for optimal query performance.
- Security Measures: Enhanced security with data encryption, fine-grained access controls, and audit logging.
- Integration and Automation: Integrated Redshift with existing data sources and analytics tools, setting up automated data ingestion and scheduled queries.
Results:
- Scalability: Easily scaled with Trustly’s growing data needs.
- Performance: Improved query performance for faster data analysis.
- Security: Enhanced data protection and compliance.
- Integration: Seamless integration with existing systems for unified analytics.
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