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Books > Professional & Technical > Electronics & communications engineering
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Big Data, Open Data and Data Development (Hardcover)
Loot Price: R3,739
Discovery Miles 37 390
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Big Data, Open Data and Data Development (Hardcover)
Expected to ship within 18 - 22 working days
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The world has become digital and technological advances have
multiplied circuits with access to data, their processing and their
diffusion. New technologies have now reached a certain maturity.
Data are available to everyone, anywhere on the planet. The number
of Internet users in 2014 was 2.9 billion or 41% of the world
population. The need for knowledge is becoming apparent in order to
understand this multitude of data. We must educate, inform and
train the masses. The development of related technologies, such as
the advent of the Internet, social networks, "cloud-computing"
(digital factories), has increased the available volumes of data.
Currently, each individual creates, consumes, uses digital
information: more than 3.4 million e-mails are sent worldwide every
second, or 107,000 billion annually with 14,600 e-mails per year
per person, but more than 70% are spam. Billions of pieces of
content are shared on social networks such as Facebook, more than
2.46 million every minute. We spend more than 4.8 hours a day on
the Internet using a computer, and 2.1 hours using a mobile. Data,
this new ethereal manna from heaven, is produced in real time. It
comes in a continuous stream from a multitude of sources which are
generally heterogeneous. This accumulation of data of all types
(audio, video, files, photos, etc.) generates new activities, the
aim of which is to analyze this enormous mass of information. It is
then necessary to adapt and try new approaches, new methods, new
knowledge and new ways of working, resulting in new properties and
new challenges since SEO logic must be created and implemented. At
company level, this mass of data is difficult to manage. Its
interpretation is primarily a challenge. This impacts those who are
there to "manipulate" the mass and requires a specific
infrastructure for creation, storage, processing, analysis and
recovery. The biggest challenge lies in "the valuing of data"
available in quantity, diversity and access speed.
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