	{"id":3676,"date":"2013-10-09T08:07:15","date_gmt":"2013-10-09T01:07:15","guid":{"rendered":"http:\/\/science-technology.vn\/?p=3676"},"modified":"2013-10-31T10:29:03","modified_gmt":"2013-10-31T03:29:03","slug":"big-data-trong-thi-truong-canh-tranh","status":"publish","type":"post","link":"https:\/\/science-technology.vn\/?p=3676","title":{"rendered":"Big Data trong th\u1ecb tr\u01b0\u1eddng c\u1ea1nh tranh"},"content":{"rendered":"<p><span style=\"font-size: 14px; line-height: 1.428571429;\">M\u1ed9t ng\u01b0\u1eddi qu\u1ea3n l\u00ed h\u1ecfi: \u201cC\u00f3 c\u00e1ch n\u00e0o t\u1ed1t h\u01a1n \u0111\u1ec3 gi\u1ea3i th\u00edch v\u1ec1 Big Data kh\u00f4ng? Nhi\u1ec1u ng\u01b0\u1eddi \u0111ang n\u00f3i v\u1ec1 n\u00f3 nh\u01b0ng t\u00f4i kh\u00f4ng th\u1ea5y nhu c\u1ea7u hay \u00edch l\u1ee3i g\u00ec v\u1ec1 n\u00f3 c\u1ea3? Xin th\u1ea7y gi\u1ea3i th\u00edch.\u201d<\/span><\/p>\n<p>&nbsp;<\/p>\n<p>\u0110\u00e1p: Thu\u1eadt ng\u1eef \u201cBig Data\u201d \u0111\u01b0\u1ee3c d\u00f9ng \u0111\u1ec3 m\u00f4 t\u1ea3 cho t\u00ecnh hu\u1ed1ng kh\u1ed1i l\u01b0\u1ee3ng d\u1eef li\u1ec7u l\u00e0 l\u1edbn h\u01a1n nhi\u1ec1u v\u00e0 ph\u1ee9c t\u1ea1p h\u01a1n nhi\u1ec1u so v\u1edbi ch\u1ed7 l\u01b0u gi\u1eef hi\u1ec7n th\u1eddi hay c\u00f4ng c\u1ee5 v\u1eabn d\u00f9ng \u0111\u1ec3 x\u1eed l\u00ed n\u00f3. Trong qu\u00e1 kh\u1ee9, ph\u1ea7n l\u1edbn d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c x\u00e1c \u0111\u1ecbnh, thu th\u1eadp, t\u1ed5 ch\u1ee9c v\u00e0 l\u01b0u gi\u1eef trong c\u01a1 s\u1edf d\u1eef li\u1ec7u n\u01a1i c\u00e1c c\u00f4ng c\u1ee5 qu\u1ea3n l\u00ed d\u1eef li\u1ec7u c\u00f3 th\u1ec3 truy nh\u1eadp, c\u1eadp nh\u1eadt, ph\u00e2n t\u00edch v\u00e0 t\u1ed5 ch\u1ee9c ch\u00fang th\u00e0nh th\u00f4ng tin c\u00f3 gi\u00e1 tr\u1ecb cho m\u1ee5c \u0111\u00edch trinh s\u00e1t doanh nghi\u1ec7p. Ng\u00e0y nay ph\u1ea7n l\u1edbn c\u00e1c qui tr\u00ecnh doanh nghi\u1ec7p \u0111\u01b0\u1ee3c t\u1ef1 \u0111\u1ed9ng ho\u00e1; internet k\u1ebft n\u1ed1i m\u1ecdi th\u1ee9; v\u00e0 nhi\u1ec1u ng\u01b0\u1eddi h\u01a1n \u0111ang d\u00f9ng ph\u01b0\u01a1ng ti\u1ec7n x\u00e3 h\u1ed9i v.v. C\u00f3 nhi\u1ec1u d\u1eef li\u1ec7u h\u1eefu d\u1ee5ng c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c khai ph\u00e1 cho trinh s\u00e1t doanh nghi\u1ec7p. Tuy nhi\u00ean d\u1eef li\u1ec7u t\u1eeb internet, ph\u01b0\u01a1ng ti\u1ec7n x\u00e3 h\u1ed9i, di \u0111\u1ed9ng, t\u00ednh to\u00e1n, c\u1ea3m bi\u1ebfn t\u00edn hi\u1ec7u v.v. kh\u00f4ng \u0111\u01b0\u1ee3c x\u00e1c \u0111\u1ecbnh, m\u1ed9t s\u1ed1 c\u00f3 c\u1ea5u tr\u00fac nh\u01b0ng nhi\u1ec1u d\u1eef li\u1ec7u kh\u00f4ng c\u1ea5u tr\u00fac, n\u00f3 kh\u00f4ng th\u1ec3 \u0111\u01b0\u1ee3c khai ph\u00e1 b\u1eb1ng vi\u1ec7c d\u00f9ng c\u00f4ng c\u1ee5 khai ph\u00e1 d\u1eef li\u1ec7u hi\u1ec7n h\u00e0nh. V\u00ec c\u00f3 qu\u00e1 nhi\u1ec1u d\u1eef li\u1ec7u (Kh\u1ed1i l\u01b0\u1ee3ng); t\u1eeb nhi\u1ec1u ngu\u1ed3n (\u0110a d\u1ea1ng); v\u00e0 thay \u0111\u1ed5i r\u1ea5t nhanh (Gia t\u1ed1c), r\u1ea5t kh\u00f3 x\u00e1c \u0111\u1ecbnh, thu th\u1eadp, l\u01b0u gi\u1eef, truy nh\u1eadp v\u00e0 t\u1ed5 ch\u1ee9c b\u1eb1ng vi\u1ec7c d\u00f9ng c\u01a1 s\u1edf d\u1eef li\u1ec7u hay c\u00f4ng c\u1ee5 truy\u1ec1n th\u1ed1ng \u0111\u1ec3 thu l\u1ea5y th\u00f4ng tin c\u00f3 gi\u00e1 tr\u1ecb cho m\u1ee5c \u0111\u00edch trinh s\u00e1t doanh nghi\u1ec7p.<\/p>\n<p>V\u1ec1 truy\u1ec1n th\u1ed1ng, m\u1ecdi c\u00f4ng ti \u0111\u1ec1u thu th\u1eadp d\u1eef li\u1ec7u doanh nghi\u1ec7p nh\u01b0 thu nh\u1eadp, chi ph\u00ed, l\u01b0\u01a1ng, l\u1ee3i nhu\u1eadn, kh\u00e1ch h\u00e0ng, nh\u00e0 cung c\u1ea5p, v\u00e0 xu h\u01b0\u1edbng th\u1ecb tr\u01b0\u1eddng tr\u00ean c\u01a1 s\u1edf h\u00e0ng ng\u00e0y hay h\u00e0ng tu\u1ea7n. Ng\u00e0y nay v\u1edbi t\u1ef1 \u0111\u1ed9ng ho\u00e1 qui tr\u00ecnh, c\u00f9ng nh\u1eefng d\u1eef li\u1ec7u n\u00e0y t\u1edbi nhanh ch\u00f3ng trong m\u1ecdi gi\u00e2y, m\u1ecdi ph\u00fat, hay m\u1ecdi gi\u1edd cho n\u00ean ch\u00fang tr\u00e0n ng\u1eadp ch\u1ed7 l\u01b0u gi\u1eef v\u00e0 c\u00f4ng c\u1ee5 ph\u1ea7n m\u1ec1m x\u1eed l\u00ed ch\u00fang. Ph\u00e2n t\u00edch kh\u1ed1i l\u01b0\u1ee3ng d\u1eef li\u1ec7u l\u1edbn n\u00e0y v\u00e0 ph\u00e2n t\u00e1ch d\u1eef li\u1ec7u &#8220;c\u00f3 gi\u00e1 tr\u1ecb&#8221; v\u1edbi d\u1eef li\u1ec7u &#8220;ti\u1ebfng \u1ed3n&#8221; y\u00eau c\u1ea7u c\u00e1ch ti\u1ebfp c\u1eadn kh\u00e1c, ki\u1ec3u l\u01b0u gi\u1eef kh\u00e1c, ph\u01b0\u01a1ng ph\u00e1p kh\u00e1c, v\u00e0 c\u00f4ng c\u1ee5 kh\u00e1c v\u00e0 \u0111\u00f3 l\u00e0 l\u00ed do t\u1ea1i sao m\u1ecdi ng\u01b0\u1eddi g\u1ecdi n\u00f3 l\u00e0 \u201cPh\u00e2n t\u00edch Big Data\u201d.<\/p>\n<p>Big Data c\u00f3 nhi\u1ec1u \u00edch l\u1ee3i nh\u01b0ng hi\u1ec3n nhi\u00ean nh\u1ea5t l\u00e0 n\u00f3 cho ng\u01b0\u1eddi ra quy\u1ebft \u0111\u1ecbnh th\u00f4ng tin c\u00f3 gi\u00e1 tr\u1ecb cho \u01b0u th\u1ebf doanh nghi\u1ec7p m\u00e0 trinh s\u00e1t doanh nghi\u1ec7p truy\u1ec1n th\u1ed1ng kh\u00f4ng th\u1ec3 l\u00e0m \u0111\u01b0\u1ee3c. Khi doanh nghi\u1ec7p tr\u1ef1c tuy\u1ebfn (e-business) b\u1eaft \u0111\u1ea7u v\u00e0i n\u0103m tr\u01b0\u1edbc, c\u00e1c c\u00f4ng ti thu th\u1eadp d\u1eef li\u1ec7u nh\u01b0 thu nh\u1eadp, chi ph\u00ed, v\u00e0 giao t\u00e1c m\u1ed9t c\u00e1ch t\u1ef1 \u0111\u1ed9ng b\u1edfi v\u00ec m\u1ecdi th\u1ee9 \u0111\u1ec1u \u0111\u01b0\u1ee3c th\u1ef1c hi\u1ec7n b\u1edfi m\u00e1y t\u00ednh. Ph\u1ea7n l\u1edbn c\u00e1c c\u00f4ng ti \u0111\u1ec1u d\u00f9ng nh\u1eefng d\u1eef li\u1ec7u n\u00e0y cho quy\u1ebft \u0111\u1ecbnh qu\u1ea3n l\u00ed nh\u01b0 n\u00e2ng gi\u00e1, h\u1ea1 gi\u00e1 tu\u1ef3 theo nhu c\u1ea7u v\u00e0 cung c\u1ea5p. Tuy nhi\u00ean m\u1ed9t s\u1ed1 c\u00f4ng ti \u0111i xa h\u01a1n b\u1eb1ng vi\u1ec7c ph\u00e2n t\u00edch nh\u1eefng d\u1eef li\u1ec7u n\u00e0y \u0111\u1ec3 bi\u1ebft nhi\u1ec1u h\u01a1n v\u1ec1 th\u00f3i quen mua h\u00e0ng c\u1ee7a kh\u00e1ch h\u00e0ng. Ch\u1eb3ng h\u1ea1n, Amazon thu th\u1eadp m\u1ecdi \u0111\u01a1n mua h\u00e0ng c\u1ee7a kh\u00e1ch h\u00e0ng, ph\u00e2n t\u00edch ch\u00fang v\u00e0 bi\u1ebft nhi\u1ec1u v\u1ec1 th\u00f3i quen mua c\u1ee7a kh\u00e1ch h\u00e0ng. Amazon bi\u1ebft kh\u00e1ch h\u00e0ng th\u00edch g\u00ec, h\u1ecd mu\u1ed1n g\u00ec r\u1ed3i khuy\u1ebfn c\u00e1o h\u1ecd mua nhi\u1ec1u h\u01a1n b\u1eb1ng vi\u1ec7c c\u00f3 nh\u1eefng g\u1ee3i \u00fd ki\u1ec3u nh\u01b0 \u201cN\u1ebfu b\u1ea1n mua c\u00e1i n\u00e0y th\u00ec b\u1ea1n c\u00f3 th\u1ec3 th\u00edch c\u00e1i n\u00e0y \u2026\u201d hay \u201cPh\u1ea7n l\u1edbn kh\u00e1ch h\u00e0ng mua c\u00e1i n\u00e0y c\u0169ng mua c\u00e1i kia \u2026\u201d Ng\u00e0y nay Amazon c\u00f3 h\u00e0ng petabytes d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c thu th\u1eadp trong h\u1ec7 th\u1ed1ng CNTT c\u1ee7a h\u1ecd. V\u1edbi h\u00e0ng tr\u0103m tri\u1ec7u kh\u00e1ch h\u00e0ng truy nh\u1eadp v\u00e0 mua c\u00e1c th\u1ee9, h\u1ecd thu \u0111\u01b0\u1ee3c th\u00f3i quen mua c\u1ee7a m\u1ecdi ng\u01b0\u1eddi v\u00e0 bi\u1ebft kh\u00e1ch h\u00e0ng mu\u1ed1n g\u00ec cho n\u00ean h\u1ecd s\u1ebd g\u1eedi emails tr\u1ef1c ti\u1ebfp cho kh\u00e1ch h\u00e0ng \u0111\u1ec3 qu\u1ea3nh c\u00e1o ch\u1ec9 \u0111i\u1ec1u kh\u00e1ch h\u00e0ng th\u00edch v\u00e0 t\u0103ng s\u1ed1 b\u00e1n l\u00ean 45% ch\u1ec9 trong v\u00e0i n\u0103m d\u00f9ng ph\u00e2n t\u00edch Big Data. B\u1eb1ng vi\u1ec7c bi\u1ebft v\u1ec1 kh\u00e1ch h\u00e0ng v\u00e0 \u0111i\u1ec1u h\u1ecd mu\u1ed1n Amazon \u0111\u00e3 c\u00f3 kh\u1ea3 n\u0103ng kh\u1eed b\u1ecf \u0111\u01b0\u1ee3c h\u1ea7u h\u1ebft c\u00e1c \u0111\u1ed1i th\u1ee7 c\u1ea1nh tranh v\u00e0 chi ph\u1ed1i kinh doanh tr\u1ef1c tuy\u1ebfn. Ng\u00e0y nay Amazon \u0111\u00e3 tr\u1edf th\u00e0nh c\u00f4ng ti tr\u1ef1c tuy\u1ebfn s\u1ed1 m\u1ed9t tr\u00ean th\u1ebf gi\u1edbi.<\/p>\n<p>V\u1edbi m\u1ea1ng x\u00e3 h\u1ed9i, c\u00e1c c\u00f4ng ti c\u00f3 th\u1ec3 thu th\u1eadp d\u1eef li\u1ec7u c\u00f3 gi\u00e1 tr\u1ecb ph\u1ee5 th\u00eam b\u1eb1ng vi\u1ec7c bi\u1ebft ai \u0111ang n\u00f3i v\u1edbi ai trong m\u1ea1ng x\u00e3 h\u1ed9i v\u00e0 hi\u1ec3u xu h\u01b0\u1edbng trong nh\u1eefng ng\u01b0\u1eddi n\u00e0y, h\u1ecd th\u00edch g\u00ec, h\u1ecd quan t\u00e2m t\u1edbi c\u00e1i g\u00ec v.v. T\u1ea5t c\u1ea3 h\u1ecd \u0111\u1ec1u c\u00f3 th\u1ec3 l\u00e0 kh\u00e1ch h\u00e0ng ti\u1ec1m n\u0103ng cho doanh nghi\u1ec7p. V\u1edbi d\u1eef li\u1ec7u mua s\u1eafm qua th\u1ebb t\u00edn d\u1ee5ng, c\u00e1c c\u00f4ng ti c\u00f3 th\u1ec3 thu th\u1eadp d\u1eef li\u1ec7u v\u1ec1 ai l\u00e0m kinh doanh v\u1edbi ai v\u00e0 thu h\u00fat kh\u00e1ch h\u00e0ng th\u00eam; c\u00e1c c\u00f4ng ti c\u0169ng thu th\u1eadp d\u1eef li\u1ec7u tr\u00ean c\u00e1c websites m\u00e0 m\u1ecdi ng\u01b0\u1eddi \u0111ang t\u1edbi th\u0103m qua vi\u1ec7c b\u1ea5m chu\u1ed9t c\u1ee7a h\u1ecd \u0111\u1ec3 nh\u1eadn di\u1ec7n kh\u00e1ch h\u00e0ng ti\u1ec1m n\u0103ng v\u00e0 qu\u1ea3ng c\u00e1o cho s\u1ea3n ph\u1ea9m c\u1ee7a h\u1ecd t\u01b0\u01a1ng \u1ee9ng; c\u00e1c c\u00f4ng ti thu th\u1eadp d\u1eef li\u1ec7u v\u1ec1 ai \u0111ang \u1ea3nh h\u01b0\u1edfng b\u1eb1ng vi\u1ec7c qu\u1ea3ng c\u00e1o n\u00e0o \u0111\u00f3 qua vi\u1ec7c b\u1ea5m v\u00e0o qu\u1ea3ng c\u00e1o \u0111\u1ec3 x\u00e1c \u0111\u1ecbnh qu\u1ea3ng c\u00e1o n\u00e0o hi\u1ec7u qu\u1ea3 h\u01a1n; c\u00e1c c\u00f4ng ti thu th\u1eadp d\u1eef li\u1ec7u v\u1ec1 n\u01a1i kh\u00e1ch h\u00e0ng \u0111ang \u0111\u1ee9ng trong c\u1eeda h\u00e0ng qua d\u1eef li\u1ec7u \u0111\u1ecbnh v\u1ecb GPS di \u0111\u1ed9ng \u0111\u1ec3 g\u1eedi tin nh\u1eafn v\u00e0 cho h\u1ecd tho\u1ea3 thu\u1eadn mua b\u00e1n \u0111\u1eb7c bi\u1ec7t \u0111\u1ec3 l\u00e0m cho h\u1ecd mua nhi\u1ec1u h\u01a1n v\u00e2n v\u00e2n. B\u1eb1ng vi\u1ec7c c\u00f3 m\u1ecdi d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c thu th\u1eadp v\u00e0 ph\u00e2n t\u00edch, c\u00e1c c\u00f4ng ti c\u00f3 th\u1ec3 ph\u00e1t tri\u1ec3n nh\u1eefng \u01b0u th\u1ebf doanh nghi\u1ec7p n\u00e0o \u0111\u00f3 \u0111\u1ec3 cho h\u1ecd c\u00f3 th\u1ec3 b\u00e1n \u0111\u01b0\u1ee3c m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3y h\u01a1n.<\/p>\n<p>Ng\u00e0y nay c\u00e1c h\u00e3ng h\u00e0ng kh\u00f4ng, kh\u00e1ch s\u1ea1n, cho thu\u00ea xe, \u0111\u1eb7t chuy\u1ebfn du l\u1ecbch v.v t\u1ea5t c\u1ea3 \u0111\u1ec1u c\u1ed1 c\u1ea3i ti\u1ebfn kinh doanh c\u1ee7a h\u1ecd b\u1eb1ng vi\u1ec7c d\u00f9ng Big data \u0111\u1ec3 d\u1ef1 b\u00e1o \u0111\u1eb7t gi\u00e1, \u00fd ki\u1ebfn kh\u00e1ch h\u00e0ng, khuy\u1ebfn c\u00e1o, xu h\u01b0\u1edbng th\u1ecb tr\u01b0\u1eddng v.v. \u00a0Kh\u00f4ng c\u00f3 ph\u00e2n t\u00edch Big Data th\u1eddi gian th\u1ef1c ph\u1ee9c t\u1ea1p, c\u00e1c c\u00f4ng ti kh\u00f4ng th\u1ec3 c\u1ea1nh tranh hi\u1ec7u qu\u1ea3 trong th\u1ebf gi\u1edbi c\u1ea1nh tranh cao \u0111\u1ed9 n\u00e0y.<\/p>\n<p>&nbsp;<\/p>\n<p>&#8212;English version&#8212;<\/p>\n<p>&nbsp;<\/p>\n<p>Big Data in the competitive market<\/p>\n<p>A manager asked: \u201cIs there a better way to explain Big Data? Many people are talking about it but I do not see a need or any benefits for it? Please explain.\u201d<\/p>\n<p>&nbsp;<\/p>\n<p>Answer: The term \u201cBig Data\u201d is used to describe a situation where the volume of the data is much bigger and more complex than the current storage place or the tool that uses to process it. In the past, most data are defined, collected, organized and stored in database where data management tools can access, update, analyzed and organized them into valuable information for business intelligence purposes. Today most business processes are automated; the internet connects everything; and more people are using social media etc. there are a lot of useful data that can be mined for business intelligence. However data from the internet, social media, mobile, computing, signal sensors etc. are not defined, some are structured but many are unstructured, it cannot be mined using current data mining tools. Since there are too many of them (Volume); from many sources (Varieties); and they change very fast (Velocity), it is very difficult to define, collect, store, access and organize using traditional database or tools to gather valuable information for business intelligence purpose.<\/p>\n<p>Traditionally, every company collects business data such as revenues, costs, sales, profits, customers, suppliers, and market trends on a daily or weekly basis. Today with process automation, these same data come in rapidly every second, every minute, or hour so they overwhelmed the storage and the software tools that process them. To analyze these massive data amount and to separate the \u201cvaluable\u201d data from the \u201cnoisy\u201d data requires different approach, different type of storage, different method, and different tools and that is why people called it \u201cBig Data Analytics\u201d.<\/p>\n<p>Big Data has many benefits but the most obvious is it gives decision makers valuable information for business advantages that traditional business intelligence cannot do. When on line business (e-business) started several years ago, companies collected data such as revenues, costs, and transactions automatically because everything is done by a computer. Most companies are using these data for management decision such as raise price, drop price depending on the demand and supply. However some companies go further by analyzing these data to learn more about the buying habit of customers to create business advantage. For example, Amazon collects all customers\u2019 purchases orders, analyzes them and knows more about customers\u2019 buying habit. Amazon know what customers like, what they want then recommends them to buy more by having suggestion such as \u201cIf you buy this and then you may like this \u2026\u201d or \u201cMost customers who buy this also buy that \u2026\u201d Today Amazon have petabytes of data collected in their IT systems. With hundred million of customers access and buy things they have everyone buying habit and know what they want so they will send emails directly to them to advertising only on what they like and increase sales by 45% in just few years using Big Data analytics. By knowing about customer and what they want Amazon was able to eliminate most competitors and dominates the online business. Today Amazon has become the number one on line company in the world.<\/p>\n<p>With social networks, companies can collect additional valuable data by knowing who is talking to whom in the social network and understand the trends among these people, what they like, what they are concerned with etc. All of them could be potential customers for the business; With credit card purchasing data, companies can collect data on who are doing business with whom and solicit additional customers; companies also collect data on websites that people are visiting via their mouse click to identify potential customers and advertise their products accordingly; companies collect data on who are influencing by certain advertising via advertising click to determine which advertising is more effective; companies collect data on where customers are standing in a store via mobile GPS location data to send text messages and give them special deal to get them buy more and so on. By having all data collected and analyzed, companies can develop certain business advantages so they can sell more effectively.<\/p>\n<p>Today airline, hotel, car rental, vacation tours, etc. all have tried to improve their business by using Big data to predict pricing, customer comments, recommendations, market trends, etc. \u00a0Without a sophisticated real-time Big Data analytics, companies can not compete effectively in this highly competitive world.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>M\u1ed9t ng\u01b0\u1eddi qu\u1ea3n l\u00ed h\u1ecfi: \u201cC\u00f3 c\u00e1ch n\u00e0o t\u1ed1t h\u01a1n \u0111\u1ec3 gi\u1ea3i th\u00edch v\u1ec1 Big Data kh\u00f4ng? Nhi\u1ec1u ng\u01b0\u1eddi \u0111ang n\u00f3i v\u1ec1 n\u00f3 nh\u01b0ng t\u00f4i &hellip; <\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36,26],"tags":[],"class_list":["post-3676","post","type-post","status-publish","format-standard","hentry","category-social-media-mobility-big-data-analytics-and-cloud-computing","category-xu-huong-cong-nghe"],"_links":{"self":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/3676","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=3676"}],"version-history":[{"count":3,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/3676\/revisions"}],"predecessor-version":[{"id":3678,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/3676\/revisions\/3678"}],"wp:attachment":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3676"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3676"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3676"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}