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Books > Computing & IT > Applications of computing > Databases
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Exploring Big Historical Data: The Historian's Macroscope (Paperback)
Loot Price: R1,077
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Exploring Big Historical Data: The Historian's Macroscope (Paperback)
Expected to ship within 12 - 19 working days
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The Digital Humanities have arrived at a moment when digital Big
Data is becoming more readily available, opening exciting new
avenues of inquiry but also new challenges. This pioneering book
describes and demonstrates the ways these data can be explored to
construct cultural heritage knowledge, for research and in teaching
and learning. It helps humanities scholars to grasp Big Data in
order to do their work, whether that means understanding the
underlying algorithms at work in search engines, or designing and
using their own tools to process large amounts of
information.Demonstrating what digital tools have to offer and also
what 'digital' does to how we understand the past, the authors
introduce the many different tools and developing approaches in Big
Data for historical and humanistic scholarship, show how to use
them, what to be wary of, and discuss the kinds of questions and
new perspectives this new macroscopic perspective opens up.
Authored 'live' online with ongoing feedback from the wider digital
history community, Exploring Big Historical Data breaks new ground
and sets the direction for the conversation into the future. It
represents the current state-of-the-art thinking in the field and
exemplifies the way that digital work can enhance public engagement
in the humanities.Exploring Big Historical Data should be the go-to
resource for undergraduate and graduate students confronted by a
vast corpus of data, and researchers encountering these methods for
the first time. It will also offer a helping hand to the interested
individual seeking to make sense of genealogical data or digitized
newspapers, and even the local historical society who are trying to
see the value in digitizing their holdings.The companion website to
Exploring Big Historical Data can be found at
www.themacroscope.org/. On this site you will find code, a
discussion forum, essays, and datafiles that accompany this book.
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