Imagine Malaysia's premier transshipment port, Pelabuhan Tanjung Pelepas (PTP), a vital node in global trade, grappling with its own explosive growth. PTP found itself navigating a data storm: a daunting 17% year-over-year surge in data volume, scattered across more than 10 disparate operational systems. The port's ambition to scale agility and swiftly react to market dynamics was being throttled by a lack of a unified data view.

Download this case study to unpack how PTP, partnering with Tiger Analytics, architected a cutting-edge Modern Data Lakehouse Platform, powered by Databricks. Discover how they leveraged Databricks Unity Catalog for uncompromising data governance and security, and deployed sophisticated ML pipelines to forge predictive insights, effectively future-proofing their operations and setting a new standard for efficiency in the maritime sector.

Key takeaways:

• Conquering data overload: Read how PTP addressed a 17% YoY data volume increase and integrated over 10 operational source systems into a singular, cohesive Databricks-powered Data Lakehouse platform.
• Six-step implementation in action: Learn about PTP organized data into raw, cleaned, and business-level formats using a Medallion architecture, while using Azure Event Hub, Azure Data Factory, and Debezium for efficient data capture, transformation, and near real-time updates.
• Fortified data governance: Understand the pivotal role of Databricks' Unity Catalog in data governance, security, and data accessibility.
• Accelerated insights: See the dramatic operational uplift as report generation times dropped from hours to minutes, enabling genuine real-time analytics and business intelligence.
• Predictive power unleashed: Explore how PTP is leveraging ML pipelines for sophisticated use cases.
• The definitive tech stack: Get an inside look at the comprehensive technology stack employed to build a scalable, end-to-end analytics solution.