EventSunwing Travel Group, North America’s largest vertically integrated travel company, includes a tour operator, an airline, a destination management division and nearly 50 all-inclusive hotels and resorts. The legacy solution consisted of several individual components, which led to fragmentation of data.

The challenge-

The legacy solution consisted of multiple individual components, leading to data fragmentation and inefficiencies in data processing. This complex infrastructure posed challenges in maintaining and scaling the system to meet the growing demands of the website.

The goal-

The primary goal of this project was to replace the legacy backend data infrastructure with a unified and scalable solution using Azure Synapse Analytics.

The scope-

The project scope included data migration from data sources, and the implementation of Azure Synapse, Azure Search Index, Azure Data Factory (ADF), Azure Functions, Azure SQL triggers, and Contentful.

 

Solution & Benefits

Data migration: successfully migrating data from legacy systems to Azure Synapse Analytics, ensuring data integrity and completeness.

– Unified Data Architecture: designed a unified data architecture to streamline data processing to make it more efficient and reduce data silos.

– Azure Synapse implementation: implemented Azure Synapse to enable real-time data analytics, reporting, and data warehousing capabilities.

Azure Search Index: leveraging Azure Search Index to improve site search functionality, resulting in faster and more relevant search results.

Azure Data Factory (ADF): Leveraging Azure Data Factory (ADF) for data orchestration to enable automation of data workflows.

Azure Functions: Leveraging Azure Functions for serverless compute to provide scalability and cost efficiency.

Azure SQL Triggers: Implement Azure SQL Triggers for event driven processing, improving data consistency and reducing manual intervention.

Outcomes

. Consolidation of data sources has led to improved data accuracy, reduced data duplication, and better data governance Data processing times have significantly decreased, resulting in faster website performance and improved user experience Real-time analytics capabilities have empowered stakeholders with timely insights, enhancing decision-making processes. The new architecture is highly scalable, providing flexibility to accommodate future growth and adapt to evolving business needs.

The implementation of Azure Search Index has led to a noticeable increase in search results relevance, user satisfaction, and search speed.

Azure Data Factory (ADF) has streamlined data orchestration, improving data workflows and reducing manual intervention. Azure Functions and Azure SQL triggers have enhanced event-driven processing, increasing system responsiveness and reliability. Contentful has improved content management, allowing for more agile updates and ensuring up-to-date content.