What is the primary processing paradigm employed by the HeatWave query accelerator for analytical workloads?

HeatWave's Processing Model:

HeatWave usescolumnar in-memory processingto optimize analytical workloads. Storing data in columns rather than rows allows HeatWave toprocess large datasets efficiently, reducing the volume of data scanned and improving query performance. This is crucial for OLAP operations that involveaggregating and analyzing data.

Why the other options are incorrect:

A:Row-based processing is typical for OLTP workloads, not analytical.

B:HeatWave operates primarily in memory, not disk.

D:Indexing enhances performance but is not the primary processing paradigm.

E:Key-value processing is typical in NoSQL databases, not analytical systems.