Listen to a podcast about big data. Are the statements true (T) or false (F)? 1 One interpretation of big data refers to large data sets that one computer can process. 2 The internet is just one source of big data among many. 3 If an organisation knows how to strategically use big data, it can help them to be successful in the market. 4 Big data can also be useful in crime prevention. 5 Nowadays, the storage of the huge amount of data produced on a daily basis is a big challenge. Listen again and take notes. 1 Which examples are given of how big data can be beneficial? 2 Why is the fourth V going to gain importance in the future? Compare your notes with a partner. Can you think of your own examples? In 2021 approximately 2.5 quintillion bytes of data were created every day. This figure was expected to double every year. Look at the illustration from 2022 and talk about these questions: 1 What do these numbers mean to you? 2 What do you expect to rise/fall in the near future? Why? Listening 12 a 6 3kj9d7 T F b c Speaking 13 a Talk in pairs. What do you think are the implications of datafication: ■■ for your data security and privacy? ■■ for the data security of the companies initiating, handling and analysing the big data volumes? ■■ for hard- and software if you want to keep the systems alive? The CEBS (Center für berufsbezogene Sprachen) is holding a competition in report writing. The ten best submissions will be published in a brochure to be used in English at technical colleges. You decide to submit a report about the implications of big data and datafication for everybody’s life. In your report, you: ■■ summarise the facts and ideas about big data you collected in the previous exercises. ■■ explain the implications of datafication for data security and privacy. ■■ analyse possible developments in the future. Give your report a title. Write around 250 words. 1 Writing guide: Report, p. 197. b Writing 14 Facebook YouTube WhatsApp Instagram TikTok Facebook Messenger WeChat Douyin 2.958 2.514 2.000 2.000 1.309 1.051 931 715 700 635 626 584 574 556 445 430 300 Sina Weibo Kuaishou Snapchat Telegram Pinterest Twitter Reddit Quora QQ 0 500 1000 1500 2000 2500 3000 active users per month (in millions) Quellen: We are social; Hootsuit; DataPortal © Statista 2023 Ranking of the largest social networks and messenger services by user numbers, January 2022 (in millions) Language skills Extras Explore 2 Digital jungle 23 Nur zu Prüfzwecken – Eigentum des Verlags öbv
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