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Data Lake Implementation for Global Travel Data Management

intechhouse.com

Travel

Information Technology

Software Development

Challenges in Travel Data Integration and Management

Fragmented systems from acquisitions, exponential data growth, and inefficient processes hinder the ability to deliver personalized travel solutions and real-time analytics.

About the Client

A leading global online travel company specializing in multistage flight connections with partnerships across 50+ countries

Strategic Goals for Data Modernization

Centralize diverse data sources into a unified data lake
Implement real-time data processing for dynamic decision-making
Enhance scalability to support global expansion
Reduce operational costs through automated data workflows
Improve market responsiveness through advanced analytics

Core System Capabilities

Multi-source data aggregation (structured/unstructured)
Real-time Change Data Capture (CDC) using Debezium
Automated data cleaning and normalization pipelines
Relationship mapping for flight connection optimization
Interactive business intelligence dashboards
API-first design for partner integrations

Technology Stack Requirements

Apache Kafka

PostgreSQL

Debezium

CockroachDB

Java Spring Boot

Talend ETL

System Integration Needs

Legacy booking systems
Third-party airline APIs
Partner revenue management systems
Customer preference databases

Operational Requirements

Horizontal scalability for 10x data growth
Sub-second latency for real-time analytics
Enterprise-grade data encryption
99.99% system availability
Compliance with GDPR and PCI-DSS

Expected Business Outcomes

Enables real-time pricing optimization, reduces data processing costs by 40%, supports 50% faster market expansion, and improves customer retention through personalized travel recommendations.