Living with Big Data

• datum + datum + ... = data
• phenomenon + phenomenon = phenomena
• bacterium + bacterium = bacteria
• antenna + antenna = antennae
• alumnus + alumna = alumni
• criterion + criterion = criteria
• stigma + stigma = stigmata
• medium + medium = media

Have you ever visited an online bookstore and been surprised by the books that the store recommended for you?

• 제일 중요한 것은 and의 사용법입니다.
  • and는 앞뒤 모두를 중요하게 연결하는 접속사입니다. 따라서 앞뒤 모양도 같게 하는 것이 일반적입니다. 문장이 길어지면 길어질수록 더 모양을 같게 합니다. 그렇게 해야 이해하기 쉽기 때문입니다.
• have pp and have pp
• have pp는 과거와 현재를 연결합니다. 크게 3가지 사용법이 있습니다.
  • 과거~현재의 연결 
  • 과거~현재의 연결에서 과거 강조
  • 과거~현재의 연결에서 현재 강조
• 위에 사용된 that은 관계대명사입니다. 관계대명사를 왜 사용하는지는 알죠?

Many of them looked interesting to you. 

• 주어: many
• 동사: looked
  • look의 뜻은?

So how did the bookstore know what you liked? This is all possible because of big data.

• what은 2종류가 있습니다.
  • 의문사
    • What is your name? = 무엇
  • 관계대명사 = the thing that SV~ = ~ 것 
    • I know what I want.
    • What I want is what you want.
• because SV  = because는 접속사
• because of N = because of는 두 단어로 된 전치사
• all은 빼도 되는 말. 즉, 부사.

What is big data?

• subject: big data
• verb: is
• What are big data? 이어야 하지 않나요?
  • chatGPT의 대답: You make a valid point. "Data" is a plural noun, so strictly speaking, the correct phrasing would be "What are big data?". However, in common usage, "big data" is often treated as a singular term, so it is also acceptable to use "What is big data?" as a shorthand way of referring to the overall concept of large and complex data sets. In academic or technical writing, it's generally better to use the plural form "big datasets" or "big data sets" to avoid any confusion about the number of items being discussed.
  • 사람들이 사용하면 언어는 그렇게 정착됩니다. 한국어에 "머리 깍다"는 말이 대표적인 경우입니다. 그 자체로는 말이 안 되지만, 사람들이 사용하니까 그렇게 정착됩니다. 그래서 What is big data?가 맞는 말입니다.

Big data is data sets that are very big and complex.

• 위에 한 설명이 지금 문장에 잘 드러나 있습니다.
  • 주어: big data (plural)
  • 동사: is
  • that = the data sets = 접속사인 동시에 주어 = 복수(plural)
  • are
    • is가 아닙니다

As information and communication technology develops, the amount of data we have is getting much greater than before. This is mainly because almost everything that we do online leaves a trace. For example, the photos you upload on your blog and the records of your purchases at online stores are all part of big data.

Simply collecting data, however, is not enough. Big data has to be analyzed, and this is done by big data experts. Using various methods, experts analyze big data and draw meaningful results from it. These results then can be used to make decisions or to predict the future. 

How is big data influencing our lives?

Big data is influencing almost all parts of our lives. It helps companies understand their customers’ needs better and helps them sell more products. It helps people avoid heavy traffic. Its uses are endless, and here are some interesting examples.

Disease Forecast

Did you know that health professionals can now forecast a disease just as weather experts forecast the weather? This is possible thanks to big data. For example, when the flu season comes, people will buy more flu medicine. They will also search online about flu symptoms more. If this kind of data is analyzed wisely, the spread of the flu can be predicted.

Improving Performance in Sports

Are you a sports fan? Well, big data is improving the performance of players, making sports more exciting. A famous example is Germany’s national soccer team. The team built a database by collecting and analyzing a huge amount of data on players. For example, the data included information about how much each player ran and how long he had the ball. With the help of this database, Germany’s national soccer team was able to improve its performance and win the 2014 World Cup.  

Crime Prevention

Thanks to big data, police can now predict crime before it happens. Through the analysis of big data about the type, time and place of crime, police can make a map of crime hot spots. This map identifies when and where crime is most likely to happen. Police can prevent further crime by focusing on the areas and the times this map predicts.

Big data has already changed the world greatly. So where will the big data industry go from here? Nobody knows for sure, but experts agree that big data will play a more and more important role in our lives.