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  • 05_SAS_SPSS_MATLAB_meet_S3
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SAS SPSS and MATLAB meet S3

SAS SPSS MATLAB SASB7DAT SAV
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The challenge here is to blend SAS, SPSS and Matlab proprietary files on Amazon S3 Cloud Solution. Will they blend? This workflow demonstrates how to set up a file structure on Amazon S3 automatically (Bucket, folder and directory) and how to access the files on S3 for further use. Finally, the last metanode enables you to delete all files once you're finished. This is good to ensure files are not unnecessarily lying around. In all cases, proprietary software is not required - just the open source KNIME Analytics Platform. And by the way ... yes they blend! Requirements: Amazon S3 account R installed on the machine Read more in the blog post linked here.

External resources

  • Will They Blend? Experiments in Data & Tool Blending. Today: SAS, SPSS, and MATLAB meet Amazon S3: setting the past free

Used extensions & nodes

Created with KNIME Analytics Platform version 4.6.1
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    KNIME Amazon Cloud Connectors Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.1

    KNIME profile image
    knime
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.1

    KNIME profile image
    knime
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    KNIME Basic File System Connectors Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.1

    KNIME profile image
    knime
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    KNIME Interactive R Statistics Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    KNIME profile image
    knime
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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    KNIME profile image
    knime
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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    KNIME profile image
    knime
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    KNIME SAS7BDAT Reader Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    KNIME profile image
    knime
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