HeatWave's Columnar Processing:
HeatWave improves OLAP performance by storing data in acolumnar formatin memory. This format is particularly efficient foranalytical queriesbecause:
* It minimizes the amount of data read by only scanning thenecessary columns.
* Columnar storage supportsvectorized processing, which significantly speeds up aggregation operations.
* Beingin-memory, it eliminates disk I/O bottlenecks, crucial for high-speed analytics.
Why the other options are incorrect:
* A:Indexing is useful, but columnar storage is the primary driver of speed.
* C:Caching improves access times but does not address the fundamental OLAP challenge of processing large datasets.
* D:HeatWave distributes workload usingparallel processing, not simple sharding.
* E:AI-powered indexing is not a core feature of HeatWave.