Born for Data cover

Born for Data

Rating 3.4
Word count
85K words
Chapters
21
ISBN
9787550275836

Tags

Summary

In an age when big data is such a buzzword, why read this book? Zhou Tao—a leading figure in China's big data field and the Chinese translator of the million-copy bestseller Big Data—spent three years distilling a wealth of real cases for readers. The book shows Chinese-style innovative practices of big data in smart transportation, personalized healthcare, smart schools, finance, and business, offering a feasible path guide for the future development of big data. Through real cases, Zhou answers pressing questions: what kind of people can survive and thrive in the next era, what we should do in the age of Big Data 3.0, how data trading can pool data resources, and how every enterprise can become a big data company. This is not a dry academic monograph but a warm book of conviction, telling the stories of Chinese striving to innovate in the field of big data.

Editor's review

Born for Data is by Zhou Tao, a frontline expert in big data. Drawing on real practices in smart transportation, personalized healthcare, smart schools, finance, and business in China, it discusses data trading, how companies can become big-data enterprises, and how individuals can gain a foothold in the age of data. Rather than obscure academic reasoning, it links ideas through cases, with the author's commitment and sense of responsibility for the data cause between the lines. For non-technical readers, its value lies in fostering the habit of thinking with data; practitioners can draw path references from Chinese-style innovation cases. It serves as an introductory read for understanding the big data application landscape and for consulting relevant chapters when making data-related decisions.

Who it's for

A good fit for

  • Non-technical readers seeking to build basic big data concepts and ways of thinking
  • Practitioners concerned with data applications in smart transportation, healthcare, education, and other fields
  • Business managers who need cases to understand the value of data
  • Introductory readers interested in how big data is implemented in China

Not a good fit for

  • Readers seeking specific algorithm implementation and programming technical details
  • Researchers seeking a rigorous academic theoretical system and model derivation
  • Engineers expecting a purely technical manual-style reference

Reading tips

  1. Read the general chapters first to grasp the author's judgment on the big data era, then select industry cases as needed.
  2. When reading each case, try to identify its data sources, analysis goals, and decision-making methods.
  3. Take notes for your own industry and consider which steps could be improved by speaking with data.
  4. Use the cases as discussion material with colleagues around real problems.

About the publisher

Beijing United Publishing Co., Ltd. China · Founded in 1993

Beijing United Publishing Co., Ltd. is a publisher known for its literature and history titles, with 2,065 books in the collection. Its publishing covers foreign literature, contemporary Chinese prose and essays, history, folk literature, and cultural books. Its list ranges from Sima Qian's complete edition of the Records of the Grand Historian to foreign classics such as The Book of Disquiet, All Quiet on the Western Front, Snow Country, The Stranger, and Jean-Christophe, as well as modern Chinese works including Teahouse and Dawn Blossoms Plucked at Dusk. Its authors and translators include Yasunari Kawabata, Fernando Pessoa, Erich Maria Remarque, Jin Xinyi, Zhou Miao, and Chen Chao. Public information is limited, but its catalogue reflects a balance between Chinese and foreign literary classics and historical and cultural works.

Contents

  1. 版权信息
  2. 自序 在麻瓜和魔法师之间作出选择
  3. 第1部分 大数据时代,用数据说话
  4. 01 从万物皆数到万事皆数
  5. 02 从十数九表到数态万千
  6. 03 从隔水相望到阡陌交通
  7. 04 大数据驱动新工业革命
  8. 第2部分 大数据1.0:分析
  9. 05 统计呈现洞见
  10. 06 关联蕴含价值
  11. 07 预测指导决策
  12. 第3部分 大数据2.0:外化
  13. 08 寻求外部数据的帮助
  14. 09 自身数据的外部价值
  15. 10 机器学习,数据外化最神奇的利器
  16. 第4部分 大数据3.0:集成
  17. 11 数据交易:数据资源的汇聚地
  18. 12 数据城堡:数据人才的竞技场
  19. 13 创新工厂:数据技术的嘉年华
  20. 结束语 成为大数据企业
  21. 致谢

FAQ

Does this book require programming or statistics background?
No. The book focuses on real cases and conceptual explanation rather than technical tutorials, so general readers can follow the ideas; readers with a technical background can grasp the methods behind the cases more quickly.
Which fields do the cases mainly cover?
According to the materials, they cover Chinese-style innovation practices in smart transportation systems, personalized healthcare, smart schools, and finance and business, and discuss topics such as data trading and enterprise dataization.
What is the use of this book for non-technical roles?
It helps readers understand basic big data concepts and develop the habit of using data analysis to support judgment, so they can better identify data value and decision basis in their industries.

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About the author

Zhou Tao Author · China · 1946–2023

Zhou Tao (1946–2023) was a prominent contemporary Chinese poet and essayist. His ancestral home was Shanxi, he was born in Beijing, and he moved to Xinjiang in 1955. He served as director of the creative office of the Xinjiang Military Region and as a first-class writer, and was honorary chairman of the Xinjiang Federation of Literary and Art Circles and the Xinjiang Writers Association. A leading figure of the New Frontier Poetry movement, he wrote mainly poetry and essays. His poetry collections Shenshan and Yemaqun, and essay collections Xishi zhi Niao, Youmu Changcheng and Wuli Huangyuan, draw on the landscapes and frontier life of Xinjiang, with broad vision, concise language and a blend of lyricism and reflection. He won the essay award of the first Lu Xun Literature Prize in 1996 and died in Urumqi in November 2023. The library also holds several of his works on medicine, finance and data, though public information on this side of his work is limited.

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