by Jeff Desjardins
The sun never sets on the creation of new data.
新的數(shù)據(jù)好比長江東逝水，永不止步，滾滾而來。
Yes, the rate of generation may slow down at night as people send fewer emails and watch fewer videos. But for every person hitting the hay, there is another person on the opposite side of the world that is turning their smartphone on for the day.
是的，新數(shù)據(jù)產(chǎn)生的速率到了夜間也許會出現(xiàn)下降，因為人們晚上發(fā)郵件、看視頻的數(shù)量會變少。但對于每一個上床j就寢的人來說，在地球的另一端另一個人卻正在打開智能手機。
As a result, the scale of data being generated—even when we look at it through a limited lens of one minute at a time—is quite mind-boggling to behold.
因此，即使只用1分鐘這一微小的時間單位來計量，新數(shù)據(jù)爆發(fā)的規(guī)模也足以令人感到驚嘆。
通過數(shù)據(jù)誕生的源頭來看大數(shù)據(jù)的爆發(fā)式增長
Today’s infographic comes to us from Domo, and it shows the amount of new data generated each minute through several different platforms and technologies.
今天的這張信息圖表來自Domo網(wǎng)站，該圖顯示的是每一分鐘通過幾個不同的平臺和科技手段所誕生的新數(shù)據(jù)的規(guī)模。
Let’s start by looking at what happens every minutefrom a broad perspective:
先從更廣泛的視角了解一下每分鐘都會發(fā)生什么：
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Americans use 4,416,720 GB of internet data
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美國人每分鐘使用的互聯(lián)網(wǎng)數(shù)據(jù)總量為4,416,720GB；
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There are 188,000,000 emails sent
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美國人每分鐘發(fā)出188,000,000個郵件；
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There are 18,100,000 texts sent
美國人每分鐘發(fā)出18,100,000個短信；
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There are 390,030 apps downloaded
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美國人每分鐘下載390,030個手機應(yīng)用程序。
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Now lets look at platform-specific data on a per minutebasis:
下面再來看看各個具體的應(yīng)用平臺每分鐘產(chǎn)生新數(shù)據(jù)的情況：
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Giphy serves up 4,800,000 gifs
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在Giphy（在線動態(tài)GIF圖片搜索引擎）上每分鐘進行的圖片搜索次數(shù)為4,800,000；
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Netflix users stream 694,444 hours of video
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奈飛網(wǎng)站用戶每分鐘瀏覽的視頻時長為694,444小時；
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Instagram users post 277,777 stories
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圖片分享應(yīng)用網(wǎng)站Instagram的用戶每分鐘貼出277,777個故事；
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Youtube users watch 4,500,000 videos
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Youtube用戶每分鐘在線瀏覽的視頻數(shù)量為4,500,000；
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Twitter users send 511,200 tweets
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推特用戶每分鐘發(fā)出511,200個推文；
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Skype users make 231,840 calls
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Skype用戶每分鐘進行231,840次網(wǎng)絡(luò)通話；
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Airbnb books 1,389 reservations
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愛彼迎的用戶每分鐘進行1,389次房屋預(yù)定；
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Uber users take 9,772 rides
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優(yōu)步用戶每分鐘打車9,772次；
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Tinder users swipe 1,400,000 times
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手機交友應(yīng)用程序Tinder的用戶每分鐘進行1,400,000次交友配對；
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Google conducts 4,497,420 searches
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谷歌網(wǎng)站上每分鐘搜索次數(shù)為4,497,420；
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Twitch users view 1,000,000 videos
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游戲直播平臺的用戶每分鐘瀏覽的視頻次數(shù)為1,000,000。
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Imagine being given the task to build a server infrastructure capable of handling any of the above items. It’s a level of scale that’s hard to comprehend.
試想如果有誰被安排一項任務(wù)構(gòu)建一個具有以上信息處理能力的服務(wù)器架構(gòu)，這工作的難度可是夠大的。
Also, imagine how difficult it is to make sense of this swath of data. How does one even process insights from the many billions of Youtube videos watched per day?
此外，還請設(shè)想一下搞懂如此巨大數(shù)據(jù)流量的難度有多大，誰能想象視頻網(wǎng)站上每天閱覽的次數(shù)竟然多達數(shù)十億次？
為啥大數(shù)據(jù)會變得更“大”？
The above statistics are already mind-bending, but consider that the global total of internet users is still growing at roughly a 9% clip. This means the current rate of data creation is still just scratching the surface of its ultimate potential.
以上的統(tǒng)計數(shù)據(jù)已經(jīng)讓人感到懷疑人生了，但請各位想想全球互聯(lián)網(wǎng)用戶總數(shù)仍在以9%的速度快速增長，這就意味著與其終極潛能相比，當(dāng)前數(shù)據(jù)產(chǎn)生的速率只是九牛一毛。
In fact, as We Are Social’s recent report on internet usage reveals, a staggering 367 million new internet users were added in between January 2018 and January 2019:
實際上根據(jù)互聯(lián)網(wǎng)調(diào)查機構(gòu)WE ARE SOCIAL近期發(fā)布的關(guān)于互聯(lián)網(wǎng)應(yīng)用的報告顯示，在2018年1月至2019年1月期間新增加的全球互聯(lián)網(wǎng)用戶總數(shù)竟然多達3.67億。
Global internet penetration sits at 57% in 2019, meaning that billions of more people are going to be using the above same services—including many others that don’t even exist yet.
全球互聯(lián)網(wǎng)的滲透率在2019年達到57%，意味著有數(shù)十億人將在未來享有以上提到的互聯(lián)網(wǎng)服務(wù)，甚至還將享有很多今天尚未出現(xiàn)的服務(wù)。
Combine this with more time spent on the internet per user and technologies like 5G, and we are only at the beginning of the big data era.
此外，再考慮到每個互聯(lián)網(wǎng)用戶在網(wǎng)上所花的時間將越來越多以及未來的科技如5G將得到大規(guī)模的應(yīng)用，就知道在我們的眼前大數(shù)據(jù)時代的帷幕才剛剛拉開。
