Apache Spark Datasheet

Apache Spark has become the go-to data analytics engine for use by Data Engineers/Analysts and Data Scientists. However, implementing an enterprise-grade Spark deployment across a mix of on-premise and cloud resources can be very complex, and often requires expertise beyond those charged with fueling data-driven decision-making.

Kazuhm makes this simple enough that any permissioned user can create a usable Spark cluster themselves in only a few minutes. Whether this be across on-premise desktop and server, often preferred for cost, performance, security, or regulatory reasons, or cloud resources that can offer experimental flexibility, Kazuhm supports Spark on any heterogeneous network of compute resources.See the attached datasheet.

Read the datasheet to learn more...