Open-Source KNIME Analytics Platform: Extending your Capabilities

KNIME Analytics Platform Webinar
Are you already familiar with - and like - self service data analytics platforms that have visual workflow builders? Your next steps could be including data-driven automation into your work while at the same time exploring leading edge ML and big data. You need more from your current platform but the capabilities (or your budget) may not be there.

As a data analytics professional, you have specific needs:

  • Experimenting with and exploring alternative approaches at each step of your workflow rather than running everything all at once, particularly when there’s a lot of data or when the workflow gets complex.
  • Automating workflows so that the data decides which portion of the workflow should be run and you reduce the time needed to maintain and run your production work.
  • Integrating sophisticated new data science methods such as text mining, deep learning, advanced ML, Spark and H2O without having to learn the language of additional tools. 
  • Extending your capabilities without requiring a contractual commitment or being stuck with a limited version.

knime_icons_rz With KNIME, you have:

  • A modern, open-source data science platform with a visual workflow editor that lets you focus on learning techniques and methods rather than learning the tool itself.
  • An extremely wide range of data sources, tools, and methods - many based on leading open-source projects - all within one platform. 
  • Software that is open source and free. No limitations on methods, data, or operating systems.
  • A strong KNIME community to support you, including thousands of freely available working examples.

KNIME: The Software and the Company

At KNIME, we build software for fast, easy and intuitive access to advanced data science, helping organizations drive innovation. For over a decade, a thriving community of data scientists in over 60 countries has been working with our platform on every kind of data: from numbers to images, molecules to humans, signals to complex networks, and simple statistics to big data analytics.

KNIME Spring Summit

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