Genuine real-time analytics requires more than just fast query performance — it demands the ability to query data continuously arriving at high volumes. The author outlines why traditional batch-designed data warehouses struggle with this workload and identifies seven critical design requirements for platforms that can truly support real-time analytical workloads, including incremental transformations, immediate data queryability, and unified query engines across multiple data types.