Hub
Pricing About
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Community Hub
  • mlauber71
  • Spaces
  • Public
  • kn_example_bigdata_h2o_automl_spark
  • s_400_spark_h2o_automl_about_this_collection
WorkflowWorkflow

Sparkling predictions and encoded labels

Knime H2o H2o.ai Dymatrix Spark
+3
mlauber71 profile image

Last edited: 

Drag & drop
Like
Download workflow
Copy short link
Workflow preview
Use Big Data Technologies like Spark to get a robust and scalable data preparation. Use the latest Auo ML technology like H2O.ai AutoML to cretae a robust model and deploy it in a Big Data environment (like Cloudera) https://hub.knime.com/mlauber71/spaces/Public/latest/kn_example_bigdata_h2o_automl_spark „Sparkling Predictions and Encoded Labels – Developing and Deploying Predictive Models on a Big Data Cluster with KNIME, Spark and H2O.ai“ // Markus Lauber, Deutsche Telekom (presentation in German, slides in English) https://www.youtube.com/watch?v=k8MsxzwEVrk&t=4335s

External resources

  • Sparkling Predictions and Encoded Labels – Developing and Deploying Predictive Models on a Big Data Cluster with KNIME, Spark and H2O.ai (German)
  • From Customer Analytics to Sparkling Predictions – KNIME in Production

Used extensions & nodes

All required extensions are part of the default installation of KNIME Analytics Platform version 4.1.3

No known nodes available

Loading deployments
Loading ad hoc executions

Legal

By using or downloading the workflow, you agree to our terms and conditions.

Discussion
Discussions are currently not available, please try again later.

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Business Hub
© 2023 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits