Azure

      In today’s data-driven world, organizations are constantly seeking reliable, scalable, and cost-efficient ways to process and manage massive volumes of data. Traditional data platforms often struggle to handle the growing complexity of modern data workloads, especially when businesses need real-time insights, flexibility, and cloud-native solutions. This is where Azure Kubernetes Service (AKS) steps in as a powerful enabler for data engineering.   AKS is a managed Kubernetes service provided by Microsoft Azure, designed to simplify containerized application deployment and management. While Kubernetes is already the industry standard for orchestrating containers, AKS takes it further by removing operational overhead, offering seamless integration with Azure’s ecosystem, and unlocking cloud-native patterns for data engineering.   Why Kubernetes for Data Engineering?   Data engineering involves designing and managing pipelines that collect, transform, ...