KNIME 4.7.2 is a powerful data analytics data processing, analysis, and visualization. Developed by AG, it is an open-source software that allows users to manipulate and analyze data using a graphical user interface (GUI). The latest version, 4.7.2, was released on October 27th, 2021, and it comes with several improvements and new features.
One of the most significant changes in KNIME 4.7.2 is the improved performance of the platform. means that users can now analyze larger data sets and perform more complex computations without experiencing any performance issues.
Another notable improvement in 4.7.2 is the enhanced integration with Python. The platform now supports the latest version of Python, which means users can run Python scripts within the environment. This integration allows for greater flexibility in data analysis, as users can use both built-in tools and Python libraries in the same workflow.
In addition to these performance and integration improvements, 4.7.2 also includes several new nodes and features. For instance, the “Image Reader” node now supports additional image formats, and the “Java Snippet” node has been updated to support more complex code. There is also a new “JSON Manipulation” node, which allows users to manipulate and analyze JSON data.
Overall, 4.7.2 is a significant improvement over its predecessors. With faster performance, better Python integration, and new nodes and features, it offers users even more flexibility and power in their data analysis workflows. Whether you are a data scientist, business analyst, or researcher, KNIME 4.7.2 provides the tools you need to extract insights and make data-driven decisions.
Top Key Feature:
Enhanced workflow editor: KNIME 4.7.2 has an improved workflow editor that allows users to create, edit, and manage workflows more efficiently. The editor includes quick search, zooming, and automatic layout features.
New integrations: KNIME 4.7.2 includes new integrations with TensorFlow, Keras, and PyTorch. This allows users to quickly build, train, and deploy machine learning models within the KNIME platform.
Improved performance: KNIME 4.7.2 includes several performance improvements, such as faster data processing and reduced memory consumption. This allows users to work with larger datasets and complex workflows more efficiently.
Enhanced collaboration features: KNIME 4.7.2 includes several new features that allow teams to work together more effectively. This has shared spaces, version control, and access control.
New data manipulation nodes: KNIME 4.7.2 includes several new data manipulation nodes that allow users to transform and clean data more efficiently. This includes nodes for handling missing data, filtering data, and manipulating strings.
How To Install?
Go to the KNIME website and click on the “Download Analytics Platform” button.
Choose the appropriate download option based on your operating system (Windows, macOS, or Linux).
Once the download is complete, double-click on the downloaded file to start the installation process.
Follow the prompts in the installation wizard to complete the installation. You can choose the default settings or customize the building to suit your preferences.
Once the installation is complete, you can launch by double-clicking on the KNIME icon on your desktop or from the Start menu.
If you encounter any issues during installation or while using KNIME, you can refer to the KNIME documentation or seek help from the KNIME community forum.