Learn More About Popular Data Science Platforms
- Arimo - Adatao
- Algorithmia
- Context Relevant
- Continuum Analytics
- Dataiku
- Domino Data Lab
- Mode Analytics
- Plotly
- Nutonian
- Yhat
Perspectives on Data Science Platforms
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Data Science Platform: What is it and Why is it Important?
As more companies recognize the need for a data science platform, more vendors are claiming they have one. Increasingly, we see companies describing their product as a “data science platform” without describing the features that make platforms so valuable. This article describes the core capabilities a platform should have in order for it to be valuable to data science teams.
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bsqresearch.com
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medium.com
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datanami.com
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dataconomy.com
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Specific Environments
Tools
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Cooladata: Join Data Across All Your Customer Touchpoints
Integrate your data from any source or database to one single data point – managed and built to scale. Connect the data points across customer touchpoints to understand the steps in each customer's journey.
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analyticsvidhya.com
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springboard.com
Further Reading
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