Why tool migration makes sense

Our fortnightly selection of must-reads from the community, for the community

As organizations generate a huge amount of data regularly, both data experts and adequate tools are necessary to identify and predict patterns. In that sense, when the game becomes tougher, traditional spreadsheet tools show their weaknesses. They generate an increased lead time for actionability since more time is required to process and identify problems. They struggle to handle large amounts of data, and cannot implement advanced data analysis techniques. This is where a free, open source, end-to-end data science software can come in handy and cover the analytical needs of organizations: from data engineering and wrangling to machine learning and more.

We love learning new creative solutions using KNIME from the articles that we publish, and we love to share them with you. We are proud of building together a thriving community that supports each other, shares experiences, and shapes the future of low code data science.

See you in the next Workflow,

The Editors of Low Code for Advanced Data Science

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