How Long to Read Big Data, Open Data and Data Development

How Long Does it Take to Read Big Data, Open Data and Data Development?

It takes the average reader 2 hours and 50 minutes to read Big Data, Open Data and Data Development by Jean-Louis Monino

Assuming a reading speed of 250 words per minute. Learn more

Description

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.

How long is Big Data, Open Data and Data Development?

Big Data, Open Data and Data Development by Jean-Louis Monino is 170 pages long, and a total of 42,500 words.

This makes it 57% the length of the average book. It also has 52% more words than the average book.

How Long Does it Take to Read Big Data, Open Data and Data Development Aloud?

The average oral reading speed is 183 words per minute. This means it takes 3 hours and 52 minutes to read Big Data, Open Data and Data Development aloud.

What Reading Level is Big Data, Open Data and Data Development?

Big Data, Open Data and Data Development is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Big Data, Open Data and Data Development?

Big Data, Open Data and Data Development by Jean-Louis Monino is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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