Azure Data Lake Implementation at Hyderabad Airport

about paysafe

HYD Airport, a leading international airport in India, serves millions of passengers annually and manages significant operational data across its various departments. With the growing need for data-driven decision-making and operational efficiency, the airport sought a modern data platform to centralize and optimize their data storage and analytics capabilities.

Reviewed on
5/5
31 Reviews
30,000
+

Hours delivered back to the business

100
+

SOX compliance in Settlement process automation

95
+

Success rate of bot case completion

6
+

For functional release of OBT, RTS and OGS

The Challenge

  1. Disparate Data Sources: Data was scattered across multiple silos, including operations, passenger services, logistics, and maintenance systems.

  2. Scalability Issues: Existing systems were not equipped to handle the exponential growth in data volume and complexity.

  3. Real-Time Analytics Needs: Lack of a robust platform for real-time insights hindered timely decision-making.

  4. Data Governance: Ensuring data security, compliance, and governance was becoming increasingly challenging with existing systems.

  5. Operational Inefficiencies: Manual and redundant processes in data handling delayed critical reporting and insights.

Solution Provided
By Us to the Airport

Glorious Insight provided end-to-end consulting and advisory services for implementing Azure Data Lake as a central data platform for Hyderabad Airport. The comprehensive solution involved conducting workshops with key stakeholders to design a scalable and future-ready architecture. Data from diverse sources, including IoT devices, passenger systems, and logistics platforms, was integrated using Azure Data Factory, with automated pipelines for real-time and batch data ingestion. Azure Data Lake Storage Gen2 was leveraged for secure and scalable storage of structured, semi-structured, and unstructured data. Real-time analytics were enabled through Azure Synapse Analytics and Power BI dashboards, while AI/ML models provided predictive insights for operations such as passenger flow and baggage handling. The solution also incorporated Azure’s robust security features for encryption and role-based access, ensuring compliance with aviation regulations and data privacy standards. Training sessions and change management support were provided to ensure smooth adoption and effective use of the platform, delivering a unified, efficient, and future-ready data solution for Hyderabad Airport.

The Results

The technology that we use to support.

Azure
ADF
ADLS
Synapse
Databricks
Power BI
Devops
Purview

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