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Interactive Big Data Exploration and Visualization

Big data Data exploration Visualization Webportal IoT
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This workflow shows how to perform data exploration and visualization on a large dataset using KNIME Big Data Extensions and make the whole process interactive via the KNIME WebPortal. The data that we will use is the hugely popular NYC taxi dataset.

Used extensions & nodes

Created with KNIME Analytics Platform version 3.7.1
  • KNIME Amazon Cloud Connectors Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

  • KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Versions 3.7.0, 3.7.1

  • KNIME Extension for Apache Spark Trusted extension

    KNIME AG, Zurich, Switzerland

    Versions 2.4.0, 2.4.1

  • KNIME Extension for Local Big Data Environments Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 2.4.1

  • KNIME File Handling Nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

  • KNIME Image Processing Trusted extension

    University of Konstanz / KNIME

    Version 1.7.0

  • KNIME Image Processing - ImageJ Integration (Beta)

    KNIME / LOCI

    Version 0.11.5

  • KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Versions 3.7.0, 3.7.1

  • KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

  • KNIME Open Street Map Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

  • KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Versions 3.7.0, 3.7.1

  • KNIME Shapefile Support Trusted extension

    Federal Institute for Risk Assessment (BfR)

    Version 1.5.0

  • KNIME SVG Support Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

  • KNIME Virtual Nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

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