Lecture/Talk

Data Reflection & Design

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

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Date
Duration in Seconds
4462
Duration (H:m:s)
1:14:22
Width
640
Height
360

Description

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. 

Video documentary:

ZKM | Videostudio

Live Editing & Livestream: Xenia Leidig, Audric Dette

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