The widespread popularity of visual data exploration tools has empowered domain experts in a broad range of fields to make data-driven decisions. However, a key …
Over the last decade, Python emerged as the language of choice for data processing and model building. Yet, the developer productivity of Python comes at …
The analysis of the statistical properties of data is a core goal in computer science. The challenges encountered in this task have evolved through time …
In the age of big data, uncertainty in data constantly grows with its volume, variety and velocity. Data is noisy, biased and error-prone. Compounding the …
Modeling the complex interactions that arise when query workloads share computing resources and data is challenging albeit critical for a number of tasks such as …
In today's world data is ubiquitous. Increasingly large and complex datasets are gathered across many domains. Data analysis - making sense of all this data …
