Blog Tags: Data Lake Modernization
How QSR Enterprises Are Scaling Real-Time POS Data on AWS and Apache Iceberg for Near-Real-Time Decisioning
What does it take to make millions of daily POS transactions usable while the lunch rush is still unfolding? In this blog, we explore how a global QSR brand re-architected its data platform on AWS and Apache Iceberg to improve real-time visibility, scalability, and operational responsiveness across stores, supply chains, and analytics systems. For data and engineering leaders in QSR and retail, the piece offers a closer look at how modern data architectures are reshaping the speed and quality of operational decision-making.
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The Data Engineer’s Guide to Apache Iceberg: Optimizing Large-Scale Data Lakes with Open Table Formats
Apache Iceberg is fast becoming the go-to choice for scalable, engine-agnostic data lake management. Explore our guide, which covers its core features, implementation best practices, and includes a case study from the insurance sector, where Iceberg delivered measurable gains in query performance and cost efficiency.
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