This repository contains a hands on lab with multiple modules and covers serverless Spark on GCP powered by Cloud Dataproc.
The intended audience is Google Customer Engineers but anyone with access to GCP can try the lab modules just as well.
The lab covers setup in Argolis, therefore Argolis enablement is prerequisite
(a) Just enough knowledge of serverless Spark on GCP powered by Cloud Dataproc to field customer conversations & questions, (b) completed setup in Argolis for serverless Spark, (c) basic/quickstart demos and knowledge of how to run them and (d) knowledge of resources for serverless Spark on GCP.
Currently, the labs are very basic to get quick started on serverless Spark on GCP. More advanced labs will be added eventually.
Go to foundational setup in Argolis
Shut down/delete resources as needed.
This is a community effort by Google Cloud Data Analytics Specialist Engineers. Contributions are welcome.
| # | Contributor | Contribution | Team |
|---|---|---|---|
| 1 | Anagha Khanolkar | Author | North America Technology Team |
| 2 | Jay O' Leary | Testing | Sub-regional Technology Team |