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Databases

Juneau extensions to Jupyter Notebook

Data Science Environments that Promote Reuse

The past decade has brought a sea change in the availability of data. Instead of a world in which we have small number of carefully curated data sources — instead we have a plethora of datasets, data versions, and data representations . Devices and data acquisition tools make it easy Read more…

By Zachary Ives, 3 years3 years ago

StreamQRE: Programming Abstractions for Data Stream Processing Systems

The Internet of Things (IoT) promises to change the way we acquire and handle data — as Internet-connected devices (wearable or implantable medical sensors, environmental sensors, devices) “stream” data back to the cloud for processing, analysis, and real-time decision-making.  Consider the example of heart arrhythmia detection below. A key component Read more…

By Zachary Ives, 5 years5 years ago

Facilitating Trustworthy Data Science

When a data analysis result is published or shared, how do we know whether it is trustworthy?  Conceptually, we must show that each step of the analysis (and each set of parameters used in the step) was justified, and that the original data was itself trustworthy. A team of Penn Read more…

By Zack Ives, 5 years5 years ago
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