Module core.backends.processing.processing_spark_backend

Definition of the Spark Processing Backend

Classes

ProcessingSparkBackend(**kwargs) : Use this to run pipelines on Apache Spark.

A dedicated processing backend can be used to efficiently process large
amounts of incoming data in parallel, potentially distributed across
multiple machines. This can happen on local processing backends as well
as cloud-based variants like Google Cloud Dataflow. More powerful machines
with higher core counts and clock speeds can be leveraged to increase
processing throughput significantly.

This backend is not implemented yet.

### Ancestors (in MRO)

* zenml.core.backends.processing.processing_local_backend.ProcessingLocalBackend
* zenml.core.backends.base_backend.BaseBackend

### Class variables

`BACKEND_TYPE`
: