Knime is an open-source data analytics, reporting, and integration platform. It enables users to create data flows, execute selected analysis steps, and visualize results without the need for programming skills.
Top 5*
Analytics
About Knime
Knime was created in 2004 by a team of software engineers and data scientists. It was developed to provide an open-source platform for data analytics, reporting, and integration, aimed at simplifying complex data processes and enabling users to analyze data without extensive programming knowledge.
Strengths of Knime include its user-friendly interface, extensive library of nodes for various data tasks, and strong community support. Weaknesses involve its initial learning curve and potential performance issues with very large datasets. Competitors include Alteryx, RapidMiner, and SAS.
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How to hire a Knime expert
A Knime expert must have strong skills in data manipulation, workflow automation, and data visualization. Proficiency in using Knime nodes for ETL processes, machine learning algorithms, and statistical analysis is essential. Knowledge of scripting languages like Python or R for custom nodes and extensions is also beneficial.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
Salary
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