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by Balaji Kadambi, Shikha Maheshwari, Vishal Chahal, Manjula G Hosurmath | Published February 7, 2018
AnalyticsData scienceData storesIoTNode.jsObject StoragePlatform as a Service
Note: This pattern is part of a composite pattern. These are code patterns that can be stand-alone applications or might be a continuation of another code pattern. This composite pattern consists of:
Data science workflows that don’t have a user interface are difficult to demonstrate to business users. This developer journey shows you how to build a web interface using Node-RED. The interface will trigger data science workflows that run Jupyter Notebook code on IBM Watson Studio.
Data science’s goal is to extract insight from data. Tools such as IBM Watson Studio are designed to be used by professionals with in-depth knowledge of data science concepts and applied statistics. But developers looking for a way to bridge the gap between data scientists and the business community now have a new way to build that connection.
In this code pattern, you’ll use the Node-RED programming tool to create a web interface, which will trigger an analytics workflow that runs Jupyter Notebook code on IBM Watson Studio. You’ll build an end-to-end app that enables business people to harness the power of data science.
When you complete this code pattern, you will learn how to:
This pattern is ideal for anyone looking to demonstrate the power of data science directly to business users.
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