Today we can see videos on YouTube, we can search for a way to get somewhere using Google Map, and we can also send an email by G-mail on our smartphone. What do these things have in common? Yes, they are linked to Google, one of the most famous search engines in the world. Google can provide us with many other things. How can Google offer so many things? The answer is Big Data. Google has so much data because it is one of the most well-known search engines. And they also have technology that can analyze complex data such as video, text content. Thanks to these elements, Google could be the first to innovate in big data. At first, Google services such as free maps and YouTube shopping were considered useless things to make money. However, as Google can use data on these items, these unnecessary items are the important points of Bigdata innovation. From now on, we see how Google uses this data in such an interesting and practical way, and how they improve their data platform and also attract people to use Big Data by their “big query”. And what we can learn from their innovative activity in the era of big data. Google is doing many interesting projects using big data to change people's lives. One of the most interesting things that Google uses in big data is “google translation”. In the past, many people tried to create a high-quality automatic translator. In the 1990s, the “Candide Project” carried out by IBM failed because they used data so small that one could say “millions” and only used neat text data. However, from 2003 to present, Google's translation project has collected so much data that we can't even say "billions" in their web environment. With so much data, “Google Translate” even translates more than a hundred languages, and also translates the language by voice. e...... middle of paper ......ue things considered meaningless. As liberal arts students, we should see the other possibility in objects. Google discovers innovative possibilities from simple flying data. Then, once we see this possibility, we should be able to devote our efforts to it. Even if at present these things are useless and we do not know what we are doing, we should make our efforts to explore the possibilities, find meaning in the act and continually find the answer. This attitude is necessary for living in the age of Big Data, as we find meaning and act on this data. In our life we ​​should focus on this attitude because this attitude can teach us many things and the meaning of ours is more important than just failure or success. The era of big data is coming, perhaps the message of the mega trend is to find meaning in seemingly meaningless things and perform your own meaningful acts in your life.