Hybrid Data Pipeline for AI and Big Data Workloads
Modern data architectures face an unprecedented challenge: supporting both traditional big data analytics and emerging AI workloads within a single, coherent infrastructure. Big data processing demands massive-scale batch transformations, SQL-based analytics, and data warehousing capabilities optimized for structured data. AI workloads require entirely different characteristics—access to raw, unstructured data, support for diverse file formats, GPU … Read more