{"id":4180,"date":"2014-04-02T15:57:18","date_gmt":"2014-04-02T08:57:18","guid":{"rendered":"http:\/\/science-technology.vn\/?p=4180"},"modified":"2014-04-02T15:57:18","modified_gmt":"2014-04-02T08:57:18","slug":"big-data-va-tac-dong-cua-no","status":"publish","type":"post","link":"https:\/\/science-technology.vn\/?p=4180","title":{"rendered":"Big Data v\u00e0 t\u00e1c \u0111\u1ed9ng c\u1ee7a n\u00f3"},"content":{"rendered":"

M\u1ed9t sinh vi\u00ean K\u0129 ngh\u1ec7 ph\u1ea7n m\u1ec1m vi\u1ebft cho t\u00f4i: \u201cC\u00f4ng ngh\u1ec7 thay \u0111\u1ed5i nhanh v\u00e0 kh\u00f3 h\u1ecdc \u0111\u01b0\u1ee3c m\u1ecdi th\u1ee9. Theo \u00fd th\u1ea7y, c\u00e1i n\u00e0o l\u00e0 c\u00f4ng ngh\u1ec7 quan tr\u1ecdng nh\u1ea5t? N\u1ebfu em c\u00f3 th\u1ec3 \u0111\u01b0a n\u1ed7 l\u1ef1c v\u00e0o h\u1ecdc m\u1ed9t hay hai c\u00f4ng ngh\u1ec7, ch\u00fang s\u1ebd l\u00e0 c\u00e1i g\u00ec? Xin th\u1ea7y l\u1eddi khuy\u00ean.\u201d<\/span><\/p>\n

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\u0110\u00e1p: M\u1eb7c d\u1ea7u kh\u00f3 d\u1ef1 b\u00e1o c\u00f4ng ngh\u1ec7 n\u00e0o s\u1ebd l\u00e0 quan tr\u1ecdng nh\u1ea5t trong n\u0103m hay m\u01b0\u1eddi n\u0103m t\u1edbi, tuy nhi\u00ean \u00fd ki\u1ebfn c\u1ee7a t\u00f4i, T\u00ednh to\u00e1n m\u00e2y, Ph\u00e2n t\u00edch Big data v\u00e0 An ninh t\u00ednh to\u00e1n l\u00e0 ba c\u00f4ng ngh\u1ec7 h\u1ee9a h\u1eb9n nh\u1ea5t. V\u00ec t\u00f4i ti\u1ebfn h\u00e0nh nghi\u00ean c\u1ee9u v\u00e0 d\u1ea1y ph\u00e2n t\u00edch Big data t\u1ea1i CMU, t\u00f4i c\u00f3 thi\u00ean h\u01b0\u1edbng nghi\u00eang v\u1ec1 c\u00f4ng ngh\u1ec7 n\u00e0y. T\u00f4i ngh\u0129 \u0111i\u1ec1u c\u00f4ng nghi\u1ec7p \u0111ang l\u00e0m ng\u00e0y nay v\u1edbi Big data ch\u1ec9 m\u1edbi l\u00e0 b\u1eaft \u0111\u1ea7u. V\u00ec c\u00f3 thi\u1ebfu h\u1ee5t tr\u1ea7m tr\u1ecdng nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u c\u00f3 k\u0129 n\u0103ng \u0111\u1ec3 thu th\u1eadp, t\u1ed5 ch\u1ee9c, x\u1eed l\u00ed, v\u00e0 ph\u00e2n t\u00edch, c\u00f4ng ngh\u1ec7 n\u00e0y ch\u01b0a \u0111\u1ea1t t\u1edbi ti\u1ec1m n\u0103ng \u0111\u1ea7y \u0111\u1ee7. Tuy nhi\u00ean, khi c\u00f3 nhi\u1ec1u nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u, t\u00ecnh hu\u1ed1ng s\u1ebd thay \u0111\u1ed5i v\u00e0 c\u00f4ng ngh\u1ec7 n\u00e0y c\u00f3 th\u1ec3 b\u00f9ng n\u1ed5. S\u1ef1 ki\u1ec7n l\u00e0 n\u0103m ngo\u00e1i c\u00f4ng nghi\u1ec7p \u0111\u00e3 chi v\u00e0i t\u1ec9 \u0111\u00f4 la v\u00e0o c\u00f4ng ngh\u1ec7 n\u00e0y v\u00e0 c\u00f3 cu\u1ed9c \u0111ua \u0111\u1ec3 xem ai s\u1ebd l\u00e0 nh\u1ea5t trong c\u00e1c c\u00f4ng ti nh\u01b0 IBM, Oracle, GE, SAS, v\u00e0 SAP v\u00ec h\u1ecd \u0111\u1ea7u t\u01b0 h\u00e0ng t\u1ec9 \u0111\u00f4 la \u0111\u1ec3 ph\u00e1t tri\u1ec3n ph\u1ea7n m\u1ec1m v\u00e0 ph\u1ea7n c\u1ee9ng th\u1ef1c hi\u1ec7n ph\u00e2n t\u00edch Big data.<\/p>\n

GE \u0111ang l\u1ea5y d\u1eef li\u1ec7u t\u1eeb m\u1ecdi th\u1ee9 m\u00e0 h\u1ecd x\u00e2y d\u1ef1ng, nh\u01b0, \u0111\u1ed9ng c\u01a1 ph\u1ea3n l\u1ef1c, nh\u00e0 m\u00e1y n\u0103ng l\u01b0\u1ee3ng, \u0111\u1ed9ng c\u01a1 t\u1ea7u ho\u1ea3, trang thi\u1ebft b\u1ecb b\u1ec7nh vi\u1ec7n v.v t\u00edch h\u1ee3p ch\u00fang v\u1edbi d\u1eef li\u1ec7u t\u1eeb web \u0111\u1ec3 tr\u00edch r\u00fat ra th\u00f4ng tin c\u00f3 gi\u00e1 tr\u1ecb. V\u1ec1 c\u0103n b\u1ea3n, ch\u00ednh vi\u1ec7c t\u00edch h\u1ee3p c\u1ee7a big data v\u00e0 t\u00ednh to\u00e1n m\u00e2y l\u00e0 \u0111\u1ec3 gi\u00e1m s\u00e1t v\u00e0 d\u1ef1 b\u00e1o \u0111i\u1ec1u \u0111ang x\u1ea3y ra b\u00ean trong c\u00e1c s\u1ea3n ph\u1ea9m c\u1ee7a GE. B\u1eb1ng vi\u1ec7c c\u00f3 d\u1eef li\u1ec7u nh\u01b0 v\u1eady, GE c\u00f3 th\u1ec3 gi\u00fap kh\u00e1ch h\u00e0ng nh\u1eadn di\u1ec7n c\u00e1c v\u1ea5n \u0111\u1ec1 b\u1ea3o tr\u00ec tr\u01b0\u1edbc khi ch\u00fang xu\u1ea5t hi\u1ec7n, c\u1ea3i ti\u1ebfn hi\u1ec7u qu\u1ea3 nhi\u00ean li\u1ec7u, v\u00e0 l\u00e0m c\u00e1c c\u1ea3i ti\u1ebfn v\u1eadn h\u00e0nh kh\u00e1c m\u00e0 c\u00f3 th\u1ec3 l\u00e0m t\u0103ng th\u00eam h\u00e0ng ngh\u00ecn t\u1ec9 \u0111\u00f4 la trong kinh doanh. M\u1ed9t ng\u01b0\u1eddi qu\u1ea3n l\u00ed c\u1ea5p cao n\u00f3i: \u201cM\u1ee5c \u0111\u00edch c\u1ee7a ch\u00fang t\u00f4i l\u00e0 l\u00e0m cho m\u00e1y m\u00f3c c\u1ee7a ch\u00fang t\u00f4i th\u00f4ng minh h\u01a1n v\u00e0 l\u1ea5y c\u00e1c d\u1eef li\u1ec7u c\u00f3 gi\u00e1 tr\u1ecb c\u1ee7a kh\u00e1ch h\u00e0ng trong th\u1eddi gian th\u1ef1c.\u201d D\u1eef li\u1ec7u m\u00e0 GE thu th\u1eadp qua c\u00e1c thi\u1ebft b\u1ecb c\u1ee7a n\u00f3 l\u00e0 kh\u1ed5ng l\u1ed3. Ch\u1eb3ng h\u1ea1n m\u1ed9t tua bin nh\u00e0 m\u00e1y n\u0103ng l\u01b0\u1ee3ng sinh ra 500 gigabytes d\u1eef li\u1ec7u h\u00e0ng ng\u00e0y. V\u1edbi 12,000 trong ch\u00fang \u0111ang \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 c\u1ea5p n\u0103ng l\u01b0\u1ee3ng cho m\u1ed9t ph\u1ea7n t\u01b0 \u0111i\u1ec7n th\u1ebf gi\u1edbi, c\u01a1 h\u1ed9i kinh doanh n\u00e0y \u0111\u01b0\u1ee3c \u0111\u00e1nh gi\u00e1 v\u00e0i ngh\u00ecn t\u1ec9 \u0111\u00f4 la. M\u1ed9t ng\u01b0\u1eddi qu\u1ea3n l\u00ed b\u1ea3o t\u00f4i: \u201cCho d\u00f9 ch\u00fang t\u00f4i d\u00f9ng \u01b0\u1edbc l\u01b0\u1ee3ng b\u1ea3o th\u1ee7 v\u1ec1 c\u1ea3i ti\u1ebfn ch\u1ec9 m\u1ed9t ph\u1ea7n tr\u0103m trong m\u00e1y m\u00f3c c\u1ee7a ch\u00fang t\u00f4i (h\u00e0ng kh\u00f4ng, nh\u00e0 m\u00e1y n\u0103ng l\u01b0\u1ee3ng, ch\u0103m s\u00f3c s\u1ee9c kho\u1ebb, \u0111\u01b0\u1eddng s\u1eaft), ch\u00fang t\u00f4i c\u00f3 th\u1ec3 l\u00e0m th\u00eam $300 t\u1ec9 \u0111\u00f4 la. N\u1ebfu ch\u00fang t\u00f4i c\u00f3 th\u1ec3 c\u1ea3i ti\u1ebfn \u0111\u1ed9ng c\u01a1 ph\u1ea3n l\u1ef1c c\u1ee7a ch\u00fang t\u00f4i ch\u1ec9 m\u1ed9t ph\u1ea7n tr\u0103m trong hi\u1ec7u qu\u1ea3 nhi\u00ean li\u1ec7u \u0111i\u1ec1u \u0111\u00f3 c\u00f3 th\u1ec3 c\u00f3 ngh\u0129a ti\u1ebft ki\u1ec7m \u0111\u01b0\u1ee3c $2 t\u1ec9 \u0111\u00f4 la m\u1ed9t n\u0103m cho c\u00e1c h\u00e3ng h\u00e0ng kh\u00f4ng. \u0110\u00f3 l\u00e0 l\u00ed do t\u1ea1i sao big data l\u00e0 \u201ckinh doanh l\u1edbn\u201d v\u00ec c\u00f4ng nghi\u1ec7p c\u00f3 th\u1ec3 m\u01b0\u1eddng t\u01b0\u1ee3ng c\u01a1 h\u1ed9i $30 ngh\u00ecn t\u1ec9 \u0111\u00f4 la trong m\u01b0\u1eddi n\u0103m t\u1edbi. N\u00f3 l\u00e0 t\u00e1c \u0111\u1ed9ng c\u00f4ng ngh\u1ec7 l\u1edbn nh\u1ea5t t\u1eebng c\u00f3, c\u00f2n l\u1edbn h\u01a1n c\u1ea3 d\u1ea7u ho\u1ea3, l\u1edbn h\u01a1n ch\u1ebf t\u1ea1o, v\u00e0 l\u1edbn h\u01a1n Internet. N\u1ebfu m\u1ed9t c\u00f4ng ti c\u00f3 th\u1ec3 n\u1eafm \u0111\u01b0\u1ee3c c\u01a1 h\u1ed9i n\u00e0y, n\u00f3 c\u00f3 th\u1ec3 l\u1edbn h\u01a1n m\u01b0\u1eddi l\u1ea7n so v\u1edbi Google, Apple, v\u00e0 Facebook t\u1ed5 h\u1ee3p l\u1ea1i. \u0110\u00f3 l\u00e0 l\u00ed do t\u1ea1i sao ch\u00fang t\u00f4i g\u1ecdi n\u00f3 l\u00e0 \u201cBig data\u201d.<\/p>\n

M\u1ed9t nh\u00e0 ph\u00e2n t\u00edch Ph\u1ed1 Wall vi\u1ebft: \u201cCh\u00fang t\u00f4i tin Big data s\u1ebd l\u00e0 thay \u0111\u1ed5i ch\u00ednh theo c\u00f9ng c\u00e1ch nh\u01b0 Internet \u0111\u00e3 l\u00e0m thay \u0111\u1ed5i c\u00e1c ng\u00e0nh c\u00f4ng nghi\u1ec7p trong th\u1eadp k\u1ec9 qua. Tr\u01b0\u1edbc khi c\u00f3 Internet, Walmart l\u00e0 c\u00f4ng ti b\u00e1n l\u1ebb l\u1edbn nh\u1ea5t th\u1ebf gi\u1edbi nh\u01b0ng b\u00e2y gi\u1edd n\u00f3 c\u00f3 \u0111\u1ed1i th\u1ee7 c\u1ea1nh tranh: Amazon.com. Trong 10 n\u0103m t\u1edbi, thay \u0111\u1ed5i m\u00e0 ch\u00fang ta \u0111\u00e3 th\u1ea5y trong Internet s\u1ebd x\u1ea3y ra trong c\u00e1c ng\u00e0nh c\u00f4ng nghi\u1ec7p v\u1edbi Big data. N\u00f3 s\u1ebd t\u00e1c \u0111\u1ed9ng t\u1edbi m\u1ecdi ng\u00e0nh c\u00f4ng nghi\u1ec7p, m\u1ecdi doanh nghi\u1ec7p, v\u00e0 m\u1ecdi th\u1ee9 v\u00e0 \u0111\u00f3 l\u00e0 l\u00ed do t\u1ea1i sao vi\u1ec7c \u0111\u1ea7u t\u01b0 v\u00e0o Big data l\u00e0 \u01b0u ti\u00ean c\u1ee7a nhi\u1ec1u nh\u00e0 \u0111\u1ea7u t\u01b0 Ph\u1ed1 Wall.\u201d<\/p>\n

V\u1edbi ph\u00e2n t\u00edch Big data, c\u00f4ng nghi\u1ec7p c\u1ea7n \u201cm\u00e1y t\u00ednh th\u00f4ng minh\u201d m\u00e1y c\u00f3 th\u1ec3 ngh\u0129 nh\u01b0 ng\u01b0\u1eddi nh\u01b0ng nhanh h\u01a1n nhi\u1ec1u. \u0110\u00f3 l\u00e0 l\u00ed do t\u1ea1i sao IBM t\u1ea1o ra m\u1ed9t m\u00e1y t\u00ednh \u0111\u1eb7c bi\u1ec7t c\u00f3 t\u00ean l\u00e0 \u201cWatson\u201d m\u00e1y t\u1ed5 h\u1ee3p th\u00f4ng minh nh\u00e2n t\u1ea1o, x\u1eed l\u00ed ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean \u0111\u1ec3 x\u1eed l\u00ed Big data v\u00e0 ra quy\u1ebft \u0111\u1ecbnh nhanh ch\u00f3ng. B\u1eb1ng vi\u1ec7c \u201cngh\u0129\u201d v\u00e0 ra “quy\u1ebft \u0111\u1ecbnh nhanh” h\u01a1n con ng\u01b0\u1eddi, c\u00e1c m\u00e1y t\u00ednh th\u00f4ng minh c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c d\u00f9ng trong c\u00f4ng nghi\u1ec7p nh\u01b0 ch\u0103m s\u00f3c s\u1ee9c kho\u1ebb, th\u1ecb tr\u01b0\u1eddng ch\u1ee9ng kho\u00e1n, v\u1eadn t\u1ea3i v\u00e0 robotics. V\u1edbi m\u00e1y t\u00ednh \u0111\u1eb7c bi\u1ec7t c\u00f3 th\u1ec3 ngh\u0129 v\u00e0 h\u00e0nh \u0111\u1ed9ng nh\u01b0 con ng\u01b0\u1eddi, n\u00f3 c\u00f3 th\u1ec3 gi\u00fap l\u00e1i xe thay v\u00ec ng\u01b0\u1eddi l\u00e1i. M\u1ed9t s\u1ed1 xe t\u1ef1 l\u00e1i \u0111\u00e3 c\u00f3 s\u1eb5n bay gi\u1edd (v\u00e0i quan ch\u1ee9c \u0111i\u1ec1u h\u00e0nh Google \u0111\u00e3 c\u00f3 ch\u00fang) v\u00e0 ch\u1eb3ng m\u1ea5y ch\u1ed1c \u0111i\u1ec1u \u0111\u00f3 s\u1ebd l\u00e0 s\u1eb5n c\u00f3 cho c\u00f4ng ch\u00fang khi nhi\u1ec1u ng\u01b0\u1eddi mu\u1ed1n c\u00f3 xe m\u00e0 c\u00f3 th\u1ec3 \u0111\u01b0a h\u1ecd t\u1edbi b\u1ea5t k\u00ec ch\u1ed7 n\u00e0o h\u1ecd mu\u1ed1n \u0111i m\u00e0 kh\u00f4ng ph\u1ea3i l\u00e1i n\u00f3. N\u0103m ngo\u00e1i, khi c\u00e1c c\u00f4ng ti Taxi \u0111\u1ea7u t\u01b0 h\u00e0ng t\u1ec9 \u0111\u00f4 la v\u00e0o c\u00f4ng ngh\u1ec7 n\u00e0y, c\u00e1c t\u00e0i x\u1ebf taxi gi\u1eadn d\u1eef v\u00ec h\u1ecd c\u00f3 th\u1ec3 th\u1ea5y r\u1eb1ng trong v\u00e0i n\u0103m n\u1eefa, h\u1ecd c\u00f3 th\u1ec3 kh\u00f4ng c\u00f3 vi\u1ec7c l\u00e0m. Nh\u01b0ng m\u1ed9t s\u1ed1 k\u0129 s\u01b0 v\u00e0 ng\u01b0\u1eddi l\u1eadp tr\u00ecnh l\u1ea1i h\u00e0i l\u00f2ng khi c\u00e1c c\u00f4ng ti Taxi \u0111ang l\u1eadp k\u1ebf ho\u1ea1ch \u0111\u1ec3 thu\u00ea h\u00e0ng ngh\u00ecn ng\u01b0\u1eddi trong s\u1ed1 h\u1ecd \u0111\u1ec3 l\u1eadp tr\u00ecnh v\u00e0 qu\u1ea3n l\u00ed \u0111\u1ed9i taxi t\u1ef1 l\u00e1i c\u1ee7a h\u1ecd.<\/p>\n

T\u00f4i ngh\u0129 \u201cBig data\u201d s\u1ebd t\u0103ng tr\u01b0\u1edfng nhanh v\u00e0 t\u00e1c \u0111\u1ed9ng t\u1edbi ng\u00e0nh c\u00f4ng nghi\u1ec7p trong v\u00e0i n\u0103m t\u1edbi. T\u00f4i ngh\u0129 2014 l\u00e0 b\u1eaft \u0111\u1ea7u c\u1ee7a th\u1eddi \u0111\u1ea1i h\u1ed9i t\u1ee5 v\u00e0o d\u1eef li\u1ec7u n\u01a1i d\u1eef li\u1ec7u l\u00e0 t\u00e0i s\u1ea3n m\u1edbi. T\u1ea5t nhi\u00ean v\u00ec b\u1ea1n h\u1ecfi, l\u1eddi khuy\u00ean c\u1ee7a t\u00f4i l\u00e0 \u0111\u01b0a n\u1ed7 l\u1ef1c c\u1ee7a b\u1ea1n v\u00e0o vi\u1ec7c h\u1ecdc nhi\u1ec1u h\u01a1n v\u1ec1 c\u00f4ng ngh\u1ec7 m\u1edbi n\u00e0y v\u00ec t\u00f4i ngh\u0129 n\u00f3 c\u00f3 t\u01b0\u01a1ng lai r\u1ea5t t\u1ed1t \u0111\u1eb9p.<\/p>\n

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—English version—<\/p>\n

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Big Data and its impacts<\/p>\n

A Software Engineering student wrote to me: \u201cTechnologies change fast and it is difficult to learn everything. In your opinion, which ones is the most important technology? If I can put my effort to learn one or two technologies, what would they be? Please advise.\u201d<\/p>\n

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Answer: Although it is difficult to predict which technology will be the most important in the next five or ten years. However my own opinion, Cloud computing, Big data analytics and Computing security are the three most promising technologies. Since I conduct research and teach Big data analytics at CMU, I have a bias to favor this technology. I think what the industry is doing today with Big data is only the beginning. Since there is a critical shortage of skilled data scientists to collect, organize, process, and analyze, this technology has not reach the full potential yet. However, when there are more data scientists, the situation will change and the technology could explode. The fact is last year the industry had spent several billions of dollars in this technology and there is a race to see who will be first among companies such as IBM, Oracle, GE, SAS, and SAP as they invest billion dollars to develop software and hardware that perform Big data analytics.<\/p>\n

GE is taking data from everything that they built i.e., Jet engines, power plants, locomotive engines, hospital equipments etc. integrate them with data from the web to extract valuable information. Basically, it is the integration of big data and cloud computing to monitor and predict what is happening inside GE products. By having such data, GE can help customers identify maintenance problems before they occur, improve fuel efficiency, and make other operational improvements that could add up to trillions of dollars in business. A senior manager said: \u201cOur goal is to make our machines more intelligent and getting valuable data to customers in real-time.\u201d The data that GE collects through its equipments are gigantic. For example a power plant turbine generates 500 gigabytes of data daily. With 12,000 of them are being used to power a quarter of the world\u2019s electricity, the business opportunity is valued at several trillion dollars. A manager told me: \u201cEven we use a conservative estimate of improving only one percent in our machinery (aviation, power plant, healthcare, railroad), we can make additional $300 billion. If we can improve our jet engines only one percent in fuel efficiency that could mean saving $2 billion a year for the airlines. That is why big data is \u201cbig business\u201d as the industry can envision a $30 trillion opportunity in the next ten year. It is the biggest technology impact ever, bigger than oil, bigger than manufacturing, and bigger than the Internet. If a company can seize this opportunity, it can be ten times bigger than Google, Apple, and Facebook combine. That is why we called it \u201cBig data\u201d<\/p>\n

A Wall Street Analyst wrote: \u201cWe believe Big data will be a major change in the same way that the Internet has changed the industries in the past decade. Before the Internet, Walmart was the largest retail company in the world but now it has a competitor: Amazon. com. In the next 10 years, the changes that we saw in the Internet will happen in the industries with Big data. It will impact every industry, every business, and everything and that is why investing in Big data is the priority of many Wall Street investors.\u201d<\/p>\n

For Big data analytics, industry needs \u201cSmart computer\u201d who can think like people but much faster. That is why IBM creates a special computer called \u201cWatson\u201d that combines artificial intelligence, natural language processing to process Big data and making decisions quickly. By \u201cthinking\u201d and make \u201cdecision faster\u201d than human, smart computers can be used in industries such as healthcare, finance, stock markets, transportation and robotics. With special computer that can think and act like human, it can help drive cars instead of people. Some self-driving cars are available now (Several Google executives already have them) and soon it will be available to the public as more people want cars that can take them to wherever they want to go without have to drive it. Last year, when Taxi companies invested billion dollars in this technology, taxi drivers were angry as they can see that in few more years, they may not have jobs. But software engineers and programmers were happy when Taxi companies are planning to hire thousands of them to program and manage their self-driving Taxi fleets.<\/p>\n

I think \u201cBig data\u201d will grow fast and impact the industry in the next few years. I think 2014 is the beginning of a data-focus era where data is the new assets. Of course since you ask, my advice is to put your efforts in learning more about this new technology as I think it has a very good future.<\/p>\n","protected":false},"excerpt":{"rendered":"

M\u1ed9t sinh vi\u00ean K\u0129 ngh\u1ec7 ph\u1ea7n m\u1ec1m vi\u1ebft cho t\u00f4i: \u201cC\u00f4ng ngh\u1ec7 thay \u0111\u1ed5i nhanh v\u00e0 kh\u00f3 h\u1ecdc \u0111\u01b0\u1ee3c m\u1ecdi th\u1ee9. Theo \u00fd th\u1ea7y, c\u00e1i … <\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[26],"tags":[],"class_list":["post-4180","post","type-post","status-publish","format-standard","hentry","category-xu-huong-cong-nghe"],"_links":{"self":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/4180","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4180"}],"version-history":[{"count":2,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/4180\/revisions"}],"predecessor-version":[{"id":4182,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/4180\/revisions\/4182"}],"wp:attachment":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4180"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4180"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4180"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}