Tag: datascience

Building a Singer.io tap for an open data source

Singer.io is an open-source JSON-based data shifting (ETL: extract, transform, load) framework, designed to bring simplicity when moving data between a source and a destination service on the Internet. In this post, we present the framework as entry point into the world of SaaS-level data exchange and some associated research questions.

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Insights into AWS SAR

The Serverless Application Repository by Amazon Web Services (AWS SAR) is, in simplified terms, a marketplace for Lambda functions. You can speed up application development by building on the functions (or function compositions) provided by it, and you can share your own functions with other cloud application developers. AWS SAR was launched over a year ago. In the Service Prototyping Lab at Zurich University of Applied Sciences, we are investigating better ways of building applications for cloud and post-cloud environments. Consequently, we did a full year observation of AWS SAR to find out what’s in it and what’s going on. Read on for some interesting excerpts and findings and for accessing the study document.

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