Working with Quanton locally
A guided, copy-paste run through Quanton on minikube. By the end you'll have a working local Quanton deployment, a real benchmark comparing OSS Spark to Quanton, and an LLM-backed agent reasoning about a live Spark job.
Time required: about 20–30 minutes, most of it waiting on data generation and benchmark queries.
What you'll do
- Setup your local environment — minikube + CLI installs
- Exercise 1 — run your first QKO example (Pi)
- Exercise 2 — use Agentic AI on a live Spark job
- Exercise 3 — compare Quanton vs OSS Spark on TPC-DS
Use the Next button at the bottom of each page to advance.
Prerequisite
This workshop assumes you've completed Setup the Onehouse project — you'll need the onehouse-values.yaml from that step to install the operator.