KNIME Advances Data Access and Preparation for Data Scientists and Analysts
KNIME is an open source data analytics company that offers an enterprise-grade software platform and services for data access and preparation by data scientists and analysts.
Complementary tools, KNIME Analytics Platform (version 4.3) for creating data science and KNIME Server (version 4.12) for productionizing data science, as well as services and resources supporting the data science community were previewed at the fall user conference:
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- KNIME Hub expands community support for sharing and reuse.
- KNIME Partners adds new third-party extensions and integrations.
- KNIME Learning introduces self-paced courses and new publications.
Data access and preparation are inevitable basics for generating value from data, and it’s a well-known fact that most practitioners spend the majority of their time accessing, blending or cleaning data. “KNIME is already very powerful in this discipline and one of the reasons it’s used in so many different industries,” explained Michael Berthold, CEO and co-founder of KNIME. “KNIME offers native connectors to access most data sources and to perform whatever transformation needs to be done to data.”
KNIME Analytics Platform
KNIME Analytics Platform is the open source software for creating data science. Intuitive, open and continuously integrating new developments, KNIME makes understanding data and designing data science workflows and reusable components accessible to everyone. New feature highlights focus on making data access and data preparation more powerful and user friendly, including:
- Improved file handling capabilities with a new File Handling extension reads from and moves data over different file systems within the same workflow.
- Better user experience with a new node makes table transformation faster with an instant preview interface and other nodes that reduce the number of steps needed in a workflow.
- Increased performance with Python enhancements makes it easier to share and productionize workflows and components containing Python scripting nodes.
- Boosted performance based on columnar representation KNIME Columnar Table Backend extension. Data is kept in a compact form, simple data is kept simple, smaller chunks of data are held in-memory, and sharing memory can begin with other programming languages.
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KNIME Server
KNIME Server is the enterprise software for team-based collaboration, automation, management and deployment of data science workflows as analytical applications and services. Nonexperts are given access to data science via KNIME WebPortal or can use REST APIs. New feature highlights focus on offering more deployment capabilities, including:
- Modernized and extended monitoring and admin interface enables easier management of the KNIME Server to find and monitor jobs, schedules and executors.
- New RabbitMQ high availability functionality makes KNIME Server well-suited for applications where high availability is crucial.
- Elastic scaling on Azure in addition to AWS provides maximum flexibility. KNIME offers both pay-as-you-go and bring-your-own-license.
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KNIME Hub
KNIME Hub is the central place to easily find, share and collaborate on data science. The hub currently shares 3,900+ nodes, 400+ components, 3,500+ workflows, and 200+ extensions. New feature highlights focus on making sharing and reusing work easier, including:
- Improved user profile pages offer more detail, stats and “likes” that enable community members to organize their space and show appreciation for the work of others.
- Community members can now manage Spaces and use KNIME’s Hub directly in KNIME’s Analytics Platform.
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KNIME Partners
67KNIME’sPartners is an expansive ecosystem to advance KNIME’s value in the enterprise. Partners in more than 70 countries can be accessed through a Partner Finder for services from strategy consulting to data science expertise to deployment capability. News from technology partners includes the following extensions and integrations:
- H2O.ai integration is available, enabling users to interact with H2O Driverless AI from KNIME’s Analytics Platform.
- Salesforce integration is available with a Salesforce Simple Query node that significantly simplifies reading data from Salesforce. No knowledge of the Salesforce query language required.
- Redfield BERT extension is available to enable the creation and use of deep learning text classification models based on the BERT language model.
- ChemAxon/Infocom Marvin extension is available for basic handling of chemical data.
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KNIME Learning
KNIME Learning comprises education, media and publishing services and resources for best practices in data science, whether getting started or advancing on KNIME’s software. Online, on-site and self-paced courses, books, technical documentation, and certification are offered. New resources include:
- Self-paced courses are now available online and at no charge for beginner and advanced users of KNIME Analytics Platform and KNIME’s Server. Participants learn at their own pace through a guided set of tutorials. Exercises and solutions are provided to test out what is learned.
- “Codeless Deep Learning with KNIME,” authored by Kathrin Melcher and Rosaria Silipo of KNIME’s and published by Packt Publishing, features theory, case studies and learnings in the form of an implementation guide.
- KNIME’s experts Michael Berthold and Rosaria Silipo contributed to the second edition of “Guide to Intelligent Data Science,” a university textbook published by Springer, which covers the entire life cycle, from data access and preparation to modeling and visualization – all the way to deployment.
- “Will They Blend?” has been updated and expanded by KNIME’s data scientists Rosaria Silipo and Lada Rudnitckaia and is available for complimentary download. The e-book focuses on blending different data sources including DynamoDB, SharePoint and hundreds more.
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