Modernizing Legacy Hadoop Data Lakes with Object Storage: MinIO and AMD - 12 de noviembre de 2025 - TecnoWebinars.com

Many companies have implemented data lakes for big data analytics workloads using Hadoop. While Hadoop was state of the art twenty years ago, the coupled storage and compute architecture of Hadoop increases the cost, limits the elasticity, and is complex. Modern data lakes using object storage decouple the compute and storage resources, use a flexible scale-out architecture and have a lower cost. This webinar will discuss how object storage from MinIO using Supermicro storage servers and AMD CPUs can modernize legacy HDFS implementations and prepare for future enterprise AI and analytics workloads. We'll cover: • Legacy Hadoop data lakes compared with modern object storage data lakehouses • Selecting the best storage server platforms from Supermicro using AMD CPUs • Implementing and migrating from Hadoop to MinIO AIStor • Best practices for deploying object storage for data lakehouse workloads