Big Data, Open Data and Data Development (Innovation, Entrepreneurship, Management: Smart Innovation Set)

Jean-Louis Monino, Soraya Sedkaoui

  • 出版商: Wiley
  • 出版日期: 2016-03-28
  • 售價: $5,890
  • 貴賓價: 9.5$5,596
  • 語言: 英文
  • 頁數: 170
  • 裝訂: Hardcover
  • ISBN: 184821880X
  • ISBN-13: 9781848218802
  • 相關分類: 大數據 Big-data
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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.

商品描述(中文翻譯)

世界已經變得數位化,科技進步使得接入數據的電路數量倍增,數據的處理和傳播也隨之增加。新技術現在已達到一定的成熟度。數據對每個人來說都隨時可得,無論身在何處。2014年,互聯網使用者數量達到29億,佔全球人口的41%。為了理解這龐大的數據量,對知識的需求變得越來越明顯。我們必須教育、告知並培訓大眾。相關技術的發展,例如互聯網的出現、社交網絡、雲計算(數位工廠),都增加了可用的數據量。目前,每個人都在創造、消耗和使用數位信息:全球每秒發送超過340萬封電子郵件,年發送量達107,000億封,每人每年約14,600封,但超過70%是垃圾郵件。數十億條內容在社交網絡上分享,例如Facebook,每分鐘超過246萬條。我們每天在互聯網上使用電腦的時間超過4.8小時,使用手機的時間為2.1小時。數據,這種來自天上的新型虛無之物,實時生成。它來自多種來源,這些來源通常是異質的,形成一個不斷流動的數據流。

這種各類型數據(音頻、視頻、文件、照片等)的積累產生了新的活動,目的是分析這龐大的信息量。因此,有必要適應並嘗試新的方法、新的知識和新的工作方式,這導致了新的特性和挑戰,因為必須創建和實施SEO邏輯。在公司層面,這些數據的管理非常困難。其解釋主要是一個挑戰。這影響到那些負責“操作”這些數據的人,並需要特定的基礎設施來進行創建、存儲、處理、分析和恢復。最大的挑戰在於“數據的價值化”,這些數據在數量、多樣性和訪問速度上都非常可觀。