Planning a data platform, analytics system, or AI solution? Our team can help design scalable architectures and deliver production-ready solutions tailored to your business.
Client context
A Netherlands-based company operating in the global online travel sector, offering complex multi-leg flight connections across more than 50 countries. By combining routes from multiple carriers, including smaller airlines, the company delivers flexible travel options supported by a broad partner ecosystem.
The challenge
Rapid growth, combined with acquisitions and expanding partnerships, led to a fragmented data environment where multiple systems operated independently, making it difficult to maintain consistency and extract value from data. As data volumes increased, the organization struggled to process information efficiently and turn it into actionable insights.
At the same time, the business needed to better understand customer behavior and respond quickly to changing market conditions, which required faster access to reliable data and the ability to analyze it in real time. Without a unified approach, decision-making was slower, personalization was limited, and operational complexity continued to grow.
What it took to deliver results
To support further expansion, the platform needed to:
- integrate data from multiple distributed systems into a single environment
- support structured, semi-structured, and unstructured data
- enable real-time data processing and updates
- improve data quality through cleaning and aggregation
- support advanced analytics and personalization
- scale with growing data volumes and business needs
The goal was to create a centralized data foundation that could support both operational efficiency and strategic growth.
The solution
A scalable data lake architecture was implemented to centralize data from multiple sources and enable consistent processing, analysis, and reporting. The system integrates data ingestion, transformation, and storage into a unified pipeline, allowing information to be collected and prepared for analysis in a structured way.
A key element of the solution was the introduction of Change Data Capture (CDC), which enables real-time tracking of data changes and supports immediate processing rather than delayed reporting. This significantly improves the timeliness and relevance of insights.
The platform also supports advanced analytics use cases, including predictive and prescriptive models, enabling the organization to better understand customer behavior and optimize offerings. By creating a flexible and scalable data environment, the system supports both current operations and future expansion.
Technology stack:
- Kafka for data streaming
- Debezium for Change Data Capture
- Java (Spring Boot) for backend services
- Talend / ETL tools for data processing
- PostgreSQL and CockroachDB for storage
- PHP for supporting services
How it works
Data is collected from multiple systems and ingested into the data lake, where it is cleaned, aggregated, and enriched to ensure quality and consistency. CDC mechanisms capture changes in real time, allowing the system to process updates continuously rather than in batches.
Once processed, the data is used for reporting, analytics, and business intelligence, enabling teams to identify patterns, relationships, and opportunities. The architecture supports integration with modern technologies, making it possible to extend the platform with advanced analytics and machine learning capabilities.
Key capabilities:
- Centralized data ingestion from multiple systems
- Support for structured, semi-structured, and unstructured data
- Real-time data processing using CDC mechanisms
- Data cleaning, aggregation, and enrichment
- Advanced analytics and reporting
- Scalable architecture supporting business growth
Impact on operations
The introduction of a centralized data platform significantly improved how data is accessed and processed across the organization, reducing fragmentation and enabling faster, more reliable insights. Teams can now work with consistent data, improving collaboration and reducing the time required to analyze information.
Real-time data processing also allows the organization to respond more quickly to changes, supporting more dynamic and efficient operations.
Business impact
The platform delivered measurable improvements across key areas:
- Unified data environment, reducing system fragmentation
- Faster decision-making, through improved data access and quality
- Real-time insights, enabled by continuous data processing
- Improved personalization, through better understanding of customer behavior
- Scalable architecture, supporting rapid business growth
- Cost optimization, through centralized and automated data processing
The platform continues to evolve as new data sources, analytics capabilities, and technologies are introduced. It provides a strong foundation for expanding into new markets, improving customer experience, and leveraging data as a strategic asset across the organization.
We’ll review your goals, technical constraints, and opportunities to design a solution that fits your organization.
