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Big Data Generation
Diploma ProgrammeCertificate Programme
Big data can be comprehended through the 3Vs concept: volume, variety, and velocity. For instance, Google gets over 3.5 billion searches and WhatsApp users exchange up to 65 billion messages daily. These data sets are complex and enormous, yet are additionally developed rapidly in a brief period. All these features make the data difficult to be captured, stored, analyzed, and transferred in the traditional manner. The ability to process big data helps to improve customer service, better operational efficiency and better decision making.
As big data is and will continue to be a force to be reckoned with in this digital age, it draws wide attention from academia, industries, and governments around the world. How much do you really know about big data?
The latest book display on Big Data Generation comprises books on this topic from different approaches for your reading and borrowing.
All e-books can be remotely accessed off-campus, simply enter your TWC Email Login information for authentication.
Title Call No. Big data : a revolution that will transform how we live, work, and think QA76.9.D343 M396 2013 Big data : a very short introduction QA76.9.B45 H66 2017 Big data science & analytics : a hands-on approach QA76.9.D32 B34 2016 Big data shocks : an introduction to big data for librarians and information professionals QA76.9.B45 W45 2018 Data-ism : the revolution transforming decision making, consumer behavior, and almost everything else QA76.9.C66 L64 2015 大數據 : 「數位革命」之後, 「資料革命」登場 : 巨量資料掀起生活、工作和思考方式的全面革新 = Big data : a revolution that will transform how we live, work, and think QA76.9.D343 M39612 2013 大數據之醫療運用與人文反省 = The medical application and humanistic reflection in big data R858 .D375 2018 大數據的傲慢與偏見 : 一個「圈內數學家」對演算法霸權的警告與揭發 = Weapons of math destruction : how big data increases inequality and threatens democracy QA76.9.B45 O6412 2016 數據, 謊言與真相 : Google 資料分析師用大數據揭露人們的真面目 = Everybody lies : big data, new data, and what the Internet can tell us about who we really are QA76.9.D343 S647 2017 Advances in big data analytics : theory, algorithms and practices eBook Advances in clinical immunology, medical microbiology, COVID-19, and big data eBook Big data : an exploration of opportunities, values, and privacy issues eBook Big data analytics with Spark and Hadoop eBook Big data and social science eBook Big data in medical science and healthcare management : diagnosis, therapy, side effects eBook Big data intelligence for smart applications eBook Big data management, technologies, and applications eBook Big data visualization : learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization eBook Data lake development with big data eBook Data science & big data analytics : discovering, analyzing, visualizing and presenting data eBook Data science in theory and practice : techniques for big data analytics and complex data sets eBook Data strategy : how to profit from a world of big data, analytics and the Internet of things eBook Humanizing big data : marketing at the meeting of data, social science and consumer insight eBook Learning big data with Amazon Elastic MapReduce eBook Reality mining : using big data to engineer a better world eBook Real-time big data analytics : design, process, and analyze large sets of complex data in real time eBook Research advances in the integration of big data and smart computing eBook Snowflake essentials : getting started with big data in the cloud eBook Strategic data-based wisdom in the big data era eBook The accidental data scientist : big data applications and opportunities for librarians and information professionals eBook The educational intelligent economy : big data, artificial intelligence, machine learning and the Internet of things in education eBook The rise of artificial intelligence and big data in pandemic society : crises, risk and sacrifice in a new world order eBook The use of big data eBook 0門檻0負擔9天秒懂大數據&AI用語! eBook 大數據 : 從基礎理論到最佳實踐 = Big data eBook 大數據. 隱私篇 : 數位時代,「删去」是必要的美德 eBook 大數據@工作力 : 如何運用巨量資料, 打造個人與企業競爭優勢 eBook 大數據時代的無限商機 : 數字資訊化為你帶來爆炸性的錢景! = Big data revolution eBook 就是要Excel 2016必學範例 : 大數據資料整理術 eBook 數據不說謊 : 大數據之下的世界 eBook 面向大規模知識庫的引文推薦技術 eBook
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