Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
Sign in
  • KNIME Hub
  • knime
  • Spaces
  • Examples
  • 40_Partners
  • 01_Microsoft
  • 04_HDI_Hive_Spark
WorkflowWorkflow

All inside BigData Predictive Approach. From Hive through Spark ETL till Spark Model Training.

Hive ETL KNIME Microsoft Azure +2

Last update: 

Drag Workflow
Workflow preview
This workflow reads CENSUS data from a Hive database in HDInsight; it then moves to Spark where it performs some ETL operations; and finally it trains a Spark 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 3.4.0
  • KNIME Big Data Connectors Unknown extension

    This is an unpublished or unknown extension.

    KNIME.com, Zurich, Switzerland

    Versions 3.3.0, 3.4.0

  • KNIME Core Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.4.0

  • KNIME Spark Executor Unknown extension

    This is an unpublished or unknown extension.

    KNIME.com, Zurich, Switzerland

    Version 2.0.0

Legal

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

License (CC-BY-4.0)
Short link
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
© 2021 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits