Onehouse
Official@onehouseinc
Offers benchmarking and demonstration environments for Apache Hudi and Iceberg table formats on Kubernetes clusters.
Agent Skills by Onehouse
Showing 5 vetted skills indexed across 1 GitHub repositories.
onehouseincrun-tpcds-benchmark
Automate TPC-DS benchmark runs comparing Apache Spark and Quanton on Kubernetes with live updates.
onehouseincsetup-and-run-example
Set up a local Kubernetes cluster, install Spark and Quanton Operators, and run an example Quanton Spark job.
onehouseincrun-clustering
Automate Hudi and Iceberg clustering demos on minikube with live progress reporting.
onehouseincclean-uninstall
Uninstalls the Quanton Operator Helm chart, secrets, and CRD from Kubernetes.
onehouseincrun-merge-into
Automate MERGE INTO demo setup, execution, and verification on minikube for Hudi and Iceberg.
Frequently Asked Questions About Onehouse
FAQPage SchemaWhat specific data engineering tasks does Onehouse support?▼
Onehouse enables performance benchmarking of TPC-DS workloads and validation of MERGE INTO operations. It facilitates comparative analysis between Apache Spark and Quanton engines while providing structured demonstrations for Hudi and Iceberg clustering on local Kubernetes environments.
Which technical personas benefit from these capabilities?▼
Data engineers, performance analysts, and infrastructure architects benefit from these capabilities. These personas use the provided functionality to evaluate table format performance, verify data lakehouse consistency, and manage the deployment lifecycle of operators within containerized environments.
What are the prerequisites for running these demonstrations?▼
Execution requires a local Kubernetes environment, specifically minikube, to host the cluster. Users must have Helm installed to manage the Quanton Operator, along with the necessary configurations for Spark and Quanton to perform benchmark runs and table format demonstrations.