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Books > Computing & IT > Applications of computing > Databases
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Visualizing Graph Data (Paperback)
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Visualizing Graph Data (Paperback)
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One of the most powerful ways to understand data is to recognize
the ways in which each datum-person, product, etc-connects to
another. Visualizing these graphs makes it possible to literally
see the connections. The graph model consists of data elements,
called nodes, and edges, which are the relationships between these
nodes. Graphs make the relationships between the data elements a
core part of the data structure, which means you can better
comprehend the meaning of your data. And visual data is easier for
everyone to understand. Visualizing Graph Data teaches readers not
only how to build graph data structures, but also how to create
their own dynamic, interactive visualizations using a variety of
tools. This book is loaded with fascinating examples and case
studies to show the real-world value of graph visualizations. It
begins by teaching fundamental graph concepts and techniques used
to visualize graph data. Next, readers drill down to learn how to
create their own useful visualizations, as well as additional
tools. Readers also learn how to model data, create the best graphs
for their particular audience, handle big data, and depict temporal
and spatial data. By the end of this book, readers know to ask the
right questions of data to create powerful visualizations. Key
Features: * Real-world case studies * Teaches techniques for
creating effective visualizations * Shows fundamental visualization
concepts * Includes tutorials using the best visualization tools
AUDIENCE A basic understanding of RDBMS systems is assumed. No
previous knowledge of graph databases required. ABOUT THE
TECHNOLOGY The graph way of thinking about data is becoming more
and more popular as people value the relationships between bits of
data as much as the data themselves. Key to understanding the
complex structure of connected data is being able to visualize
those connections.
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