Data Reflection & Design

BarabásiLab. Hidden Patterns | Online discussion


[04.11.2021]


Wendy Chun, Kim Albrecht, Matthew Ritchie and Albert-László
Barabási in conversation


In this panel, scientists, data engineers and artists will talk
about Big Data and engage critically with ways to analyze,
process and visualize it. Big Data are data sets that are too
large or too complex to be processed by conventional data
processing software. Originally, Big Data was associated with
three key terms: volume, variety and velocity. Challenges in Big
Data analysis include data acquisition, data storage, data
analysis, search, sharing, transmission, query, updating,
information protection, data source, and, of course,
visualization.