Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Hub
  • knime
  • Spaces
  • Examples
  • 40_Partners
  • 01_Microsoft
  • 03_HDI_Hive_KNIME
WorkflowWorkflow

Mix and Match Predictive Approach. From Hive through In-Database Processing till KNIMEAnalytics Model Training.

Hive ETL KNIME Microsoft Azure
+2

Last edited: 

Drag & drop
Like
Download workflow
Copy short link
Workflow preview
This workflow reads CENSUS data from a Hive database in HDInsight; it then performs some In-Database Processing on Hive; and finally it trains a KNIME decision tree model to predict COW values based on all other attributes. Data for this example come from the new CENSUS dataset which is publicly available and can be downloaded from: http://www.census.gov/programs-surveys/acs/data/pums.html A full explanation of all attributes can be found in: http://www2.census.gov/programs-surveys/acs/tech_docs/pums/data_dict/PUMSDataDict15.pdf

Used extensions & nodes

Created with KNIME Analytics Platform version 3.3.2
  • Go to item
    KNIME Big Data Connectors Unknown extension

    This is an unpublished or unknown extension.

    KNIME.com, Zurich, Switzerland

    Version 3.3.1

  • Go to item
    KNIME Core Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.3.2

  1. Go to item
  2. Go to item
  3. Go to item
  4. Go to item
  5. Go to item
  6. Go to item

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
Hardturmstrasse 66
8005 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 Server
© 2022 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits