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ZDNet published an article on Startup Dremio emerges from stealth, launches memory-based BI query engine.
I liked this quote:
“But a perhaps even more important optimization is Dremio’s use of what it calls “Reflections,” which are materialized data structures that optimize Dremio’s row and aggregation operations. Reflections are sorted, partitioned, and indexed, stored as Parquet files on disk, and handled in-memory as Arrow-formatted columnar data. They may be built automatically by Dremio, based on query usage patterns it observes; they can also be created directly by those with administrative permissions.”