Technologies for Big Data

Eleven research projects in computer science studied and invented technologies needed for harnessing current and future big data.

They covered infrastructure aspects, including data access, cleaning, indexing and pre-processing; and they covered analytics, including query processing, data mining and machine learning, to facilitate knowledge extraction from data. These advances can improve the functionality and performance of big data applications, for instance by enhancing privacy or reducing the computing and data resources needed for model training in machine learning.