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Big Data Analytics - Model Selection to Predict Flight Departure Delays on Hive & Spark

Data blending Data science Machine learning Hadoop Spark
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This workflow trains a number of data analytics models on Hadoop and Spark and automatically selects the best model to predict departure delays from a selected airport. Data is the airline dataset downloadable from: http://stat-computing.org/dataexpo/2009/the-data.html. Departure delay is a delay > 15min. Default selected airport is ORD. This workflow implements data reading, data blending, ETL, guided analytics, dimensionality reduction, advanced data mining models, model selection using: Hadoop, Spark, in-memory, parallelization, grid computing, multithreading and/or in-database to speed up computationally intensive operations. Data available in knime://knime.workflow/data/1_Input

External resources

  • Scaling Analytics with KNIME Big Data Extensions
  • Scaling Analytics with Big Data

Used extensions & nodes

Created with KNIME Analytics Platform version 4.7.1
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    KNIME Amazon Athena Connector Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.4.0

    knime
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    KNIME Amazon Redshift Connector And Tools Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.4.0

    knime
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.1

    knime
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    KNIME Big Data Connectors Trusted extension

    KNIME.com, Zurich, Switzerland

    Version 3.4.0

    knime
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    KNIME Data Generation Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.4.0

    knime
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    KNIME Ensemble Learning Wrappers Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Modular PMML Nodes Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.4.0

    knime
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    KNIME Optimization extension Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.4.0

    knime
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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.1

    knime
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    KNIME Spark Executor Trusted extension

    KNIME.com, Zurich, Switzerland

    Version 2.0.0

    knime
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    Vernalis KNIME Nodes Trusted extension

    Vernalis

    Version 1.11.2

    vernalis
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