{"id":4168,"date":"2014-03-30T09:14:52","date_gmt":"2014-03-30T02:14:52","guid":{"rendered":"http:\/\/science-technology.vn\/?p=4168"},"modified":"2014-03-30T09:14:52","modified_gmt":"2014-03-30T02:14:52","slug":"big-data-bien-gioi-moi","status":"publish","type":"post","link":"https:\/\/science-technology.vn\/?p=4168","title":{"rendered":"Big Data: bi\u00ean gi\u1edbi m\u1edbi"},"content":{"rendered":"

Big Data c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c m\u00f4 t\u1ea3 l\u00e0 \u201cC\u00f4ng ngh\u1ec7 m\u1edbi \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 tr\u00edch r\u00fat gi\u00e1 tr\u1ecb t\u1eeb kh\u1ed1i l\u01b0\u1ee3ng r\u1ea5t l\u1edbn c\u1ee7a \u0111a d\u1ea1ng r\u1ed9ng c\u00e1c d\u1eef li\u1ec7u b\u1eb1ng vi\u1ec7c t\u1ea1o kh\u1ea3 n\u0103ng n\u1eafm b\u1eaft gia t\u1ed1c cao, kh\u00e1m ph\u00e1 v\u00e0 ph\u00e2n t\u00edch.\u201d C\u00e1c \u1ee9ng d\u1ee5ng ti\u1ec1m n\u0103ng c\u1ee7a ph\u00e2n t\u00edch big data v\u1eabn c\u00f2n \u0111ang t\u0103ng tr\u01b0\u1edfng v\u1edbi c\u00e1c \u00fd t\u01b0\u1edfng m\u1edbi, \u1ee9ng d\u1ee5ng m\u1edbi v\u00e0 gi\u00e1 tr\u1ecb m\u1edbi. M\u1ed9t nh\u00e0 ph\u00e2n t\u00edch c\u00f4ng nghi\u1ec7p vi\u1ebft: \u201cBig data r\u1ea5t t\u01b0\u01a1ng t\u1ef1 nh\u01b0 Internet hai m\u01b0\u01a1i n\u0103m tr\u01b0\u1edbc. Khi internet \u0111\u01b0\u1ee3c ph\u00e1t minh ra, ch\u1ec9 v\u00e0i ng\u01b0\u1eddi bi\u1ebft n\u00f3 c\u00f3 th\u1ec3 l\u00e0m \u0111\u01b0\u1ee3c g\u00ec hay c\u00e1i g\u00ec c\u00f3 th\u1ec3 x\u1ea3y ra. N\u1ebfu b\u1ea1n nh\u00ecn l\u1ea1i l\u00fac b\u1eaft \u0111\u1ea7u c\u1ee7a internet, b\u1ea1n th\u1ea5y v\u00e0i c\u00f4ng ti nh\u01b0 Google v\u00e0 Amazon \u0111\u00e3 c\u00f3 kh\u1ea3 n\u0103ng n\u1eafm l\u1ea5y c\u01a1 h\u1ed9i n\u00e0y v\u00e0 th\u00e2u t\u00f3m th\u1ecb tr\u01b0\u1eddng v\u00e0 c\u00e1ch m\u1ecdi th\u1ee9 b\u1ecb thay \u0111\u1ed5i. C\u00f9ng \u0111i\u1ec1u \u0111\u00f3 \u0111ang x\u1ea3y ra b\u00e2y gi\u1edd v\u1edbi ph\u00e2n t\u00edch Big data v\u00e0 n\u1ebfu b\u1ea1n h\u1ecdc th\u00eam v\u1ec1 n\u00f3 v\u00e0 n\u1eafm l\u1ea5y c\u01a1 h\u1ed9i n\u00e0y, b\u1ea1n s\u1ebd l\u00e0m r\u1ea5t t\u1ed1t. N\u1ebfu b\u1ea1n b\u1ecf qua n\u00f3, b\u1ea1n s\u1ebd b\u1ecf l\u1ee1 m\u1ed9t c\u01a1 h\u1ed9i l\u1edbn v\u00e0 c\u00f3 l\u1ebd s\u1ebd kh\u00f4ng s\u1ed1ng s\u00f3t trong t\u01b0\u01a1ng lai g\u1ea7n.\u201d<\/span><\/p>\n

Ng\u00e0y nay Big data \u0111ang b\u1eaft \u0111\u1ea7u t\u00e1c \u0111\u1ed9ng t\u1edbi nhi\u1ec1u th\u1ee9, khi nhi\u1ec1u c\u00f4ng ti \u0111ang nh\u1eadn ra ti\u1ec1m n\u0103ng n\u00e0y v\u00e0 nhanh ch\u00f3ng th\u1ef1c hi\u1ec7n ph\u00e2n t\u00edch Big data trong ti\u1ebfp th\u1ecb, b\u00e1n h\u00e0ng v\u00e0 v\u1eadn h\u00e0nh. Ch\u1eb3ng h\u1ea1n, c\u1eeda h\u00e0ng b\u00e1n l\u1ebb l\u1edbn Target d\u00f9ng ph\u00e2n t\u00edch big data n\u00e0y \u0111\u1ec3 th\u00e2u t\u00f3m th\u1ecb tr\u01b0\u1eddng sinh l\u1eddi: c\u00e1c b\u1ed1 m\u1eb9 m\u1edbi. H\u1ecd bi\u1ebft r\u1eb1ng c\u00e1c b\u1ed1 m\u1eb9 m\u1edbi bao gi\u1edd c\u0169ng chi nhi\u1ec1u ti\u1ec1n mua s\u1eafm h\u01a1n cho \u0111\u1ee9a con m\u1edbi sinh cho n\u00ean h\u1ecd thu th\u1eadp d\u1eef li\u1ec7u t\u1eeb kh\u00e1ch h\u00e0ng nh\u1eefng ng\u01b0\u1eddi mua vitamins, thu\u1ed1c xoa da, qu\u1ea7n \u00e1o, kh\u0103n, v\u00e0 c\u00e1c th\u1ee9 ph\u1ee5 n\u1eef mang thai th\u01b0\u1eddng mua v\u00e0 d\u00f9ng c\u00e1c thu\u1eadt to\u00e1n \u0111\u1eb7c bi\u1ec7t \u0111\u1ec3 x\u00e1c \u0111\u1ecbnh kh\u1ea3 n\u0103ng nh\u1eefng kh\u00e1ch h\u00e0ng n\u00e0o \u0111\u00f3 c\u00f3 th\u1ec3 mang thai. Khi Target nh\u1eadn di\u1ec7n kh\u00e1ch h\u00e0ng, h\u1ecd g\u1eedi cho kh\u00e1ch h\u00e0ng nh\u1eefng phi\u1ebfu mua \u0111\u1eb7c bi\u1ec7t v\u00e0 gi\u1ea3m gi\u00e1 ngay tr\u01b0\u1edbc khi nh\u1eefng ng\u01b0\u1eddi n\u00e0y c\u00f3 con. (Ch\u1eb3ng h\u1ea1n, gi\u1ea3m gi\u00e1 20% v\u1ec1 qu\u1ea7n \u00e1o tr\u1ebb con, \u0111\u1ed3 \u0111\u1ea1c tr\u1ebb con, \u0111\u1ed3 ch\u01a1i v.v.) \u0110i\u1ec1u n\u00e0y gi\u00fap ph\u00e1t tri\u1ec3n m\u1ed1i quan h\u1ec7 t\u1ed1t v\u1edbi c\u00e1c b\u1ed1 m\u1eb9 m\u1edbi \u0111\u1ec3 cho h\u1ecd s\u1ebd mua b\u00e1n t\u1ea1i Target ch\u1ee9 kh\u00f4ng t\u1ea1i c\u00e1c c\u1eeda h\u00e0ng kh\u00e1c. B\u1eb1ng vi\u1ec7c d\u00f9ng ph\u00e2n t\u00edch Big data, ng\u00e0y nay Target th\u00e2u t\u00f3m th\u1ecb tr\u01b0\u1eddng sinh l\u1eddi c\u1ef1c k\u00ec v\u00ec ph\u1ea7n l\u1edbn c\u00e1c b\u1ed1 m\u1eb9 m\u1edbi \u0111\u1ec1u \u01b0a th\u00edch \u0111i mua s\u1eafm t\u1ea1i Target.<\/p>\n

Best Buy, m\u1ed9t c\u1eeda h\u00e0ng b\u00e1n l\u1ebb \u0111\u1ed3 \u0111i\u1ec7n t\u1eed kh\u00e1c c\u0169ng d\u00f9ng ph\u00e2n t\u00edch big data \u0111\u1ec3 l\u00e0m t\u0103ng s\u1ed1 b\u00e1n. Best Buy d\u00f9ng m\u1ed9t app di \u0111\u1ed9ng \u0111\u1eb7c bi\u1ec7t c\u00f3 t\u00ean l\u00e0 \u201cShopSavvy\u201d \u0111\u1ec3 trao \u0111\u1ed5i v\u1edbi kh\u00e1ch h\u00e0ng khi h\u1ecd quan t\u00e2m t\u1edbi vi\u1ec7c mua c\u00e1i g\u00ec \u0111\u00f3. App n\u00e0y cho ph\u00e9p kh\u00e1ch h\u00e0ng so s\u00e1nh gi\u00e1 c\u1ee7a Best Buy v\u1edbi c\u00e1c c\u1eeda h\u00e0ng c\u1ee7a \u0111\u1ed1i th\u1ee7 c\u1ea1nh tranh. Khi kh\u00e1ch h\u00e0ng b\u1eaft \u0111\u1ea7u so s\u00e1nh gi\u00e1, ph\u1ea7n m\u1ec1m l\u1eadp t\u1ee9c theo d\u00f5i nh\u1eefng \u0111\u01b0\u1eddng kh\u00e1ch h\u00e0ng c\u1ee7a c\u1eeda h\u00e0ng \u0111ang \u0111i, nh\u1eadn di\u1ec7n h\u1ecd mu\u1ed1n mua g\u00ec, v\u00e0 ki\u1ec3m c\u0103n c\u01b0\u1edbc, con s\u1ed1 t\u00edn d\u1ee5ng t\u00e0i ch\u00ednh, v\u00e0 c\u00e1c th\u00f4ng tin kh\u00e1c \u0111\u1ec3 x\u00e1c \u0111\u1ecbnh li\u1ec7u kh\u00e1ch h\u00e0ng c\u00f3 th\u1ec3 mua \u0111\u01b0\u1ee3c h\u00e0ng ho\u00e1 kh\u00f4ng. N\u1ebfu h\u1ecd c\u00f3 t\u00edn d\u1ee5ng t\u1ed1t, Best Buy l\u1eadp t\u1ee9c \u0111\u01b0a ra \u0111\u1ed1i s\u00e1nh gi\u00e1 hay gi\u1ea3m gi\u00e1 \u0111\u1eb7c bi\u1ec7t \u0111\u1ec3 ch\u1eafc kh\u00e1ch h\u00e0ng kh\u00f4ng mua t\u1eeb c\u00e1c c\u1eeda h\u00e0ng kh\u00e1c. Big Data t\u1ea1i Best Buy \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng tr\u00ean c\u1ee5m Hadoop \u0111\u01b0\u1ee3c c\u00e0i \u0111\u1eb7t v\u1edbi ph\u1ea7n m\u1ec1m \u0111\u1eb7c bi\u1ec7t \u0111\u1ec3 qu\u00e9t gi\u00e1 c\u1ee7a m\u1ecdi \u0111\u1ed1i th\u1ee7 c\u1ea1nh tranh trong th\u1eddi gian th\u1ef1c \u0111\u1ec3 ch\u1eafc r\u1eb1ng n\u00f3 bao gi\u1edd c\u0169ng c\u00f3 gi\u00e1 t\u1ed1t nh\u1ea5t c\u00f3 th\u1ec3. Best Buy c\u0169ng thu th\u1eadp th\u00f4ng tin v\u1ec1 bao nhi\u00eau c\u1eeda h\u00e0ng \u0111ang b\u00e1n c\u00f9ng s\u1ea3n ph\u1ea9m, v\u00e0 c\u00e1ch h\u1ecd \u0111\u1eb7t gi\u00e1 cho s\u1ea3n ph\u1ea9n c\u1ee7a h\u1ecd. M\u1ecdi l\u1ea7n, m\u1ed9t kh\u00e1ch h\u00e0ng \u0111\u01b0\u1ee3c nh\u1eadn di\u1ec7n, ng\u01b0\u1eddi qu\u1ea3n l\u00ed c\u1eeda h\u00e0ng ph\u1ea3i c\u00f3 h\u00e0nh \u0111\u1ed9ng \u0111\u1ec3 ch\u1eafc r\u1eb1ng kh\u00e1ch h\u00e0ng kh\u00f4ng b\u1ecf sang mua \u1edf c\u1eeda h\u00e0ng kh\u00e1c b\u1eb1ng vi\u1ec7c \u0111\u1ed1i s\u00e1nh gi\u00e1 c\u1ee7a \u0111\u1ed1i th\u1ee7 c\u1ea1nh tranh hay \u0111\u1ec1 ngh\u1ecb c\u00e1c khuy\u1ebfn kh\u00edch kh\u00e1c nh\u01b0 chuy\u1ec3n giao v\u00e0 l\u1eafp \u0111\u1eb7t ch\u00fang t\u1ea1i nh\u00e0 kh\u00e1ch h\u00e0ng m\u00e0 kh\u00f4ng th\u00eam ph\u00ed ph\u1ee5 v.v.<\/p>\n

Google d\u00f9ng ph\u00e2n t\u00edch big data \u0111\u1ec3 nh\u1eadn di\u1ec7n b\u00f9ng ph\u00e1t d\u1ecbch c\u00fam \u1edf M\u0129 khi n\u00f3 l\u1ea7n \u0111\u1ea7u ti\u00ean x\u1ea3y ra v\u00ec Trung t\u00e2m ki\u1ec3m so\u00e1t v\u00e0 ph\u00f2ng ng\u1eeba th\u1ea3m ho\u1ea1 (CDC) c\u1ea7n qu\u00e3ng hai tu\u1ea7n \u0111\u1ec3 l\u00e0m \u0111i\u1ec1u \u0111\u00f3 v\u00ec n\u00f3 d\u1ef1a tr\u00ean c\u00e1c b\u00e1o c\u00e1o t\u1eeb c\u00e1c mi\u1ec1n n\u00e0o \u0111\u00f3 tr\u01b0\u1edbc khi l\u00e0m quy\u1ebft \u0111\u1ecbnh. Google c\u00f3 th\u1ec3 l\u00e0m \u0111i\u1ec1u \u0111\u00f3 nhanh h\u01a1n v\u00ec m\u1ed7i ng\u00e0y n\u00f3 nh\u1eadn \u0111\u01b0\u1ee3c h\u01a1n ba t\u1ec9 c\u00e2u h\u1ecfi t\u00ecm ki\u1ebfm. B\u1eb1ng vi\u1ec7c d\u00f9ng ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1edbn, Google c\u00f3 th\u1ec3 nh\u1eadn di\u1ec7n m\u1ed9t mi\u1ec1n \u0111\u1eb7c bi\u1ec7t n\u01a1i nhi\u1ec1u ng\u01b0\u1eddi \u0111ang t\u00ecm t\u1eeb \u201cc\u00fam\u201d v\u00e0 d\u00f9ng c\u00e1c thu\u1eadt to\u00e1n ph\u1ee9c t\u1ea1p \u0111\u1ec3 ch\u1ec9 ra m\u1ed1i t\u01b0\u01a1ng quan m\u1ea1nh gi\u1eefa s\u1ed1 t\u00ecm ki\u1ebfm v\u00e0 vi\u1ec7c b\u00f9ng ph\u00e1t c\u00fam th\u1ef1c t\u1ea1i.<\/p>\n

C\u00f4ng ti tr\u1ef1c tuy\u1ebfn eBay d\u00f9ng ph\u00e2n t\u00edch Big data \u0111\u1ec3 nh\u1eadn di\u1ec7n vi\u1ec7c m\u1ea5t t\u00e0i n\u0103ng \u0111\u1ec3 ng\u0103n ng\u1eeba c\u00f4ng nh\u00e2n kh\u1ecfi r\u1eddi b\u1ecf c\u00f4ng ti. Ph\u1ea7n m\u1ec1m ph\u00e2n t\u00edch big data c\u1ee7a h\u1ecd qu\u00e9t qua h\u1ed3 s\u01a1 nh\u00e2n vi\u00ean c\u1ee7a c\u00f4ng ti \u0111\u1ec3 t\u00ecm c\u00e1c c\u00f4ng nh\u00e2n \u0111\u00e3 t\u1eebng \u1edf trong vi\u1ec7c l\u00e0m h\u01a1n ba n\u0103m nh\u01b0ng ch\u01b0a \u0111\u01b0\u1ee3c c\u1ea5t nh\u1eafc, \u0111\u1ed5i vai tr\u00f2, hay t\u0103ng l\u01b0\u01a1ng \u0111\u1ec3 k\u1ebft lu\u1eadn r\u1eb1ng c\u00f3 x\u00e1c su\u1ea5t l\u1edbn h\u01a1n v\u1ec1 vi\u1ec7c h\u1ecd c\u00f3 th\u1ec3 b\u1ecf sang c\u00f4ng ti kh\u00e1c. V\u00ec c\u00f3 thi\u1ebfu h\u1ee5t c\u00f4ng nh\u00e2n c\u00f3 k\u0129 n\u0103ng trong c\u00f4ng nghi\u1ec7p v\u00e0 chi ph\u00ed t\u00ecm v\u00e0 thu\u00ea c\u00f4ng nh\u00e2n l\u00e0 \u0111\u1eaft, eBay ph\u1ea3i gi\u1eef nh\u1eefng c\u00f4ng nh\u00e2n n\u00e0y h\u00e0i l\u00f2ng. Khi m\u1ed9t danh s\u00e1ch nh\u00e2n vi\u00ean ti\u1ec1m n\u0103ng nh\u1eefng ng\u01b0\u1eddi c\u00f3 th\u1ec3 r\u1eddi b\u1ecf \u0111\u01b0\u1ee3c nh\u1eadn di\u1ec7n, ng\u01b0\u1eddi qu\u1ea3n l\u00ed ph\u1ea3i h\u00e0nh \u0111\u1ed9ng nhanh ch\u00f3ng \u0111\u1ec3 ki\u1ec3m \u0111i\u1ec3m v\u00e0 l\u00e0m b\u1ea5t k\u00ec c\u00e1i g\u00ec h\u1ecd c\u00f3 th\u1ec3 l\u00e0m \u0111\u1ec3 ng\u0103n c\u1ea3n \u0111i\u1ec1u \u0111\u00f3 kh\u1ecfi x\u1ea3y ra.<\/p>\n

V\u00ec ph\u00e2n t\u00edch Big data l\u00e0 l\u0129nh v\u1ef1c m\u1edbi, nhi\u1ec1u sinh vi\u00ean \u0111ang h\u1ecfi l\u00e0m sao h\u1ecd c\u00f3 th\u1ec3 c\u00f3 \u0111\u01b0\u1ee3c vi\u1ec7c l\u00e0m nhu c\u1ea7u cao n\u00e0y. \u0110\u1ec3 l\u00e0m vi\u1ec7c trong khu v\u1ef1c n\u00e0y, b\u1ea1n c\u1ea7n c\u00f3 \u00edt nh\u1ea5t l\u00e0 b\u1eb1ng th\u1ea1c s\u0129 trong Khoa h\u1ecdc d\u1eef li\u1ec7u hay t\u01b0\u01a1ng \u0111\u01b0\u01a1ng nh\u01b0 th\u1ea1c s\u0129 trong K\u0129 ngh\u1ec7 ph\u1ea7n m\u1ec1m hay th\u1ea1c s\u0129 trong Qu\u1ea3n l\u00ed h\u1ec7 th\u00f4ng tin.<\/p>\n

Nh\u00e0 khoa h\u1ecdc Big Data ph\u1ea3i l\u00e0 chuy\u00ean gia chuy\u00ean l\u0129nh v\u1ef1c ng\u01b0\u1eddi c\u00f3 kh\u1ea3 n\u0103ng gi\u1ea3i th\u00edch c\u00e1ch ph\u00e2n t\u00edch th\u00f4ng tin c\u00f3 th\u1ec3 gi\u00fap cho ng\u01b0\u1eddi l\u00e3nh \u0111\u1ea1o doanh nghi\u1ec7p l\u00e0m quy\u1ebft \u0111\u1ecbnh th\u00edch h\u1ee3p trong th\u1eddi gian th\u1ef1c. Do \u0111\u00f3, nh\u00e0 khoa h\u1ecdc Big data ph\u1ea3i hi\u1ec3u c\u00e1c qui tr\u00ecnh doanh nghi\u1ec7p trong to\u00e0n c\u00f4ng ti, t\u1eeb ti\u1ebfp th\u1ecb, b\u00e1n h\u00e0ng, ph\u00e2n ph\u1ed1i, v\u1eadn h\u00e0nh, l\u00e0m gi\u00e1, s\u1ea3n ph\u1ea9m, t\u00e0i ch\u00ednh, r\u1ee7i ro v.v. Nh\u00e0 khoa h\u1ecdc Big data ph\u1ea3i l\u00e0 m\u1ed9t chuy\u00ean gia v\u1ec1 c\u01a1 s\u1edf d\u1eef li\u1ec7u ng\u01b0\u1eddi c\u00f3 hi\u1ec3u bi\u1ebft t\u1ed1t v\u1ec1 c\u00e1c ngu\u1ed3n d\u1eef li\u1ec7u b\u00ean ngo\u00e0i v\u00e0 b\u00ean trong, c\u00e1ch ch\u00fang \u0111\u01b0\u1ee3c thu th\u1eadp v\u00e0 l\u01b0u gi\u1eef. (\u0110\u00f3 l\u00e0 l\u00ed do t\u1ea1i sao sinh vi\u00ean trong Qu\u1ea3n l\u00ed h\u1ec7 th\u00f4ng tin l\u00e0 kh\u1edbp h\u01a1n trong l\u0129nh v\u1ef1c n\u00e0y.)<\/p>\n

Nh\u00e0 khoa h\u1ecdc Big data ph\u1ea3i c\u00f3 kh\u1ea3 n\u0103ng tr\u00edch r\u00fat, bi\u1ebfn \u0111\u1ed5i v\u00e0 t\u1ea3i c\u00e1c kho d\u1eef li\u1ec7u n\u00e0y t\u1eeb c\u00e1c ngu\u1ed3n n\u1ed9i b\u1ed9 c\u0169ng nh\u01b0 truy l\u1ee5c d\u1eef li\u1ec7u t\u1eeb c\u00e1c ngu\u1ed3n ngo\u00e0i nh\u01b0 internet, ph\u01b0\u01a1ng ti\u1ec7n x\u00e3 h\u1ed9i hay c\u00e1c ngu\u1ed3n kh\u00e1c r\u1ed3i thao t\u00e1c ch\u00fang b\u1eb1ng vi\u1ec7c d\u00f9ng Hadoop, Hive, Pig, MapReduce, Mahoot v.v. \u0111\u1ec3 ph\u00e2n t\u00edch d\u1eef li\u1ec7u v\u00e0 ph\u00e1t sinh c\u00e1c b\u00e1o c\u00e1o \u0111\u1eb7c bi\u1ec7t n\u01a1i c\u00e1c gi\u00e1 tr\u1ecb nh\u00ecn s\u00e2u \u0111\u1eb7c bi\u1ec7t \u0111\u01b0\u1ee3c nh\u1eadn di\u1ec7n. \u0110i\u1ec1u n\u00e0y KH\u00d4NG t\u01b0\u01a1ng t\u1ef1 nh\u01b0 c\u00e1c k\u0129 thu\u1eadt c\u01a1 s\u1edf d\u1eef li\u1ec7u v\u00e0 trinh s\u00e1t doanh nghi\u1ec7p truy\u1ec1n th\u1ed1ng \u00a0v\u00ec n\u00f3 gi\u1ea3i quy\u1ebft v\u1edbi kh\u1ed1i l\u01b0\u1ee3ng r\u1ea5t l\u1edbn\u00a0 d\u1eef li\u1ec7u t\u1eeb nhi\u1ec1u ngu\u1ed3n trong \u0111\u00f3 d\u1eef li\u1ec7u l\u00e0 c\u00f3 c\u1ea5u tr\u00fac v\u00e0 phi c\u1ea5u tr\u00fac. (L\u01b0u \u00fd: Trinh s\u00e1t doanh nghi\u1ec7p truy\u1ec1n th\u1ed1ng ch\u1ec9 gi\u1ea3i quy\u1ebft v\u1edbi c\u00e1c d\u1eef li\u1ec7u c\u00f3 c\u1ea5u tr\u00fac x\u00e1c \u0111\u1ecbnh \u0111\u01b0\u1ee3c l\u01b0u trong c\u01a1 s\u1edf d\u1eef li\u1ec7u v\u00e0 h\u1ed9i t\u1ee5 v\u00e0o d\u1eef li\u1ec7u qu\u00e1 kh\u1ee9). V\u00ec Big data \u0111ang gi\u1ea3i quy\u1ebft v\u1edbi d\u1ef1 b\u00e1o theo th\u1eddi gian th\u1ef1c hay t\u01b0\u01a1ng lai, nh\u00e0 khoa h\u1ecdc Big data ph\u1ea3i c\u00f3 kh\u1ea3 n\u0103ng x\u00e1c \u0111\u1ecbnh c\u00e1c k\u0129 thu\u1eadt th\u1ed1ng k\u1ebf th\u00edch h\u1ee3p nh\u1ea5t cho vi\u1ec7c \u0111\u1ec1 c\u1eadp t\u1edbi kh\u1ea3 n\u0103ng n\u00e0y. Nh\u00e0 khoa h\u1ecdc Big data ph\u1ea3i c\u00f3 kh\u1ea3 n\u0103ng \u00e1p d\u1ee5ng c\u00e1c k\u0129 thu\u1eadt li\u00ean quan, v\u00e0 d\u1ecbch th\u00e0nh k\u1ebft qu\u1ea3 v\u00e0 ph\u00e1t sinh ra \u201cb\u00e1o c\u00e1o nh\u00ecn s\u00e2u\u201d theo c\u00e1ch ng\u01b0\u1eddi l\u00e3nh \u0111\u1ea1o c\u00f4ng ti c\u00f3 th\u1ec3 hi\u1ec3u v\u00e0 h\u00e0nh \u0111\u1ed9ng r\u1ea5t nhanh \u0111\u1ec3 n\u1eafm b\u1eaft \u0111\u01b0\u1ee3c gi\u00e1 tr\u1ecb. \u0110i\u1ec1u n\u00e0y y\u00eau c\u1ea7u nh\u00e0 khoa h\u1ecdc Big data ph\u1ea3i c\u00f3 hi\u1ec3u bi\u1ebft k\u0129 l\u01b0\u1ee1ng v\u1ec1 c\u00e1c k\u0129 thu\u1eadt th\u1ed1ng k\u00ea (nh\u01b0, ph\u00e2n t\u00edch h\u1ed3i qui, ph\u00e2n t\u00edch c\u1ee5m, v\u00e0 k\u0129 thu\u1eadt t\u1ed1i \u01b0u) v\u00e0 c\u00e1c c\u00f4ng c\u1ee5 v\u00e0 ng\u00f4n ng\u1eef \u0111\u01b0\u1ee3c d\u00f9ng \u0111\u1ec3 cho ch\u1ea1y vi\u1ec7c ph\u00e2n t\u00edch nh\u01b0 \u201cSAS\u201d hay \u201cR\u201d. \u0110\u1ec3 l\u00e0m \u0111i\u1ec1u \u0111\u00f3 nh\u00e0 khoa h\u1ecdc Big data ph\u1ea3i c\u00f3 kh\u1ea3 n\u0103ng vi\u1ebft ph\u1ea7n m\u1ec1m \u0111\u1eb7c bi\u1ec7t th\u1ef1c hi\u1ec7n c\u00e1c k\u0129 thu\u1eadt t\u00ednh to\u00e1n nh\u01b0 h\u1ecdc m\u00e1y, x\u1eed l\u00ed ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean, ph\u00e2n t\u00edch m\u1ea1ng \u0111\u1ed3 th\u1ecb\/x\u00e3 h\u1ed9i, l\u01b0\u1edbi th\u1ea7n kinh, v\u00e0 m\u00f4 h\u00ecnh ho\u00e1 m\u00f4 ph\u1ecfng. Ph\u1ea7n l\u1edbn nh\u1eefng \u1ee9ng d\u1ee5ng n\u00e0y \u0111\u1ec1u \u0111\u01b0\u1ee3c vi\u1ebft trong \u0111a d\u1ea1ng ng\u00f4n ng\u1eef nh\u01b0 Java, Python, C++, Math lab v\u00e0 R. (\u0110\u00f3 l\u00e0 l\u00ed do t\u1ea1i sao sinh vi\u00ean K\u0129 ngh\u1ec7 ph\u1ea7n m\u1ec1m l\u00e0 kh\u1edbp t\u1ed1t h\u01a1n trong l\u0129nh v\u1ef1c n\u00e0y.)<\/p>\n

 <\/p>\n

—English version—<\/p>\n

 <\/p>\n

Big Data: the new frontier<\/p>\n

Big Data can be described as \u201cThe new technologies designed to extract value from very large volumes of a wide variety of data by enabling high-velocity capture, discovery, and analysis.\u201d The potential applications of big data analytics is still growing with new ideas, new applications and new values. An industry analyst wrote: \u201cBig data is very similar to the Internet twenty years ago. When the internet was invented, only few people know what it could do or what may happen. The same thing is happening now as few people know what it could do and what may happen. If you look back to the beginning of internet, you saw few companies such as Google and Amazon were able to seize the opportunities and captured the market and how everything is changed. The same thing is happening now with Big data analytics and if you learn more about it and seize the opportunities, you will do very well. If you ignore it, you will miss a big opportunity and probably will not survive in the near future.\u201d<\/p>\n

Today Big data is beginning to impact many things, as more companies are realizing this potential and quickly implementing Big data analytics in marketing, sales, and operations. For example, the large retail store Target used big data analytics to capture a lucrative market: new parents. They know that new parents always spend more money shopping for their newborn baby so they collects data from its customers who are buying vitamins, lotion, clothes, towel, and things that pregnant women often buy and use special algorithms to determine the likelihood that certain customers might be pregnant. When Target identifies customers, they send them special coupons and discounts before they even have the baby. (For example, 20% discount on baby clothes, baby furniture, toys etc.) This help develops good relationships with new parents so they will shop at Target and not at other stores. By using Big data analytics, today Target captures an extremely profitable market as most new parents prefer to shop at Target.<\/p>\n

Best Buy, another big electronic retail store also use big data analytics to increase sales. Best Buy uses special mobile app called \u201cShopSavvy\u201d to communicate with customers when they are interested in buying something. This app allows customers to compare prices from Best Buy to competitors\u2019 stores. When customers begin to compare prices, the software immediately tracks the store customers are in, identify what they want to buy, and check the identity, financial credit scores, and other information to determine if customers could pay for the merchandise. If they have good credit, Best Buy immediately offers a price match or special discount to make sure customers do not buy from other stores. The Big Data at Best Buy is built on a Hadoop cluster installed with special software to scan all competitors\u2019 prices in real time to make sure that it always has the best price possible. Best Buy also collects information on how many stores are selling the same products, and how they price their products. Every time, a customer is identified, store manager must takes action to make sure that customer does not leave to buy from other stores by match the competitor’s price or offer other incentives such as deliver and install them at customer\u2019s home at no extra charge etc.<\/p>\n

Google uses big data analytics to identify flu outbreaks in the U.S. when it first happens when the Centers for Disease Control and Prevention (CDC) needs about two weeks to do it because it relies on reports from some regions before making decision. Google can do it faster because each day it receives more than three billion search queries. By using big data analytics, Google can identify a particular region where more people are searching for the terms \u201cFlu\u201d and uses complex algorithms to show a strong correlation between the number of search and the actual flu outbreak.<\/p>\n

Online company eBay uses Big data analytics to identify talent loss to prevent workers from leaving the company. Their big data analytic software scans company\u2019s employee records to look for worker who has been in a job for more than three years but has not been promoted, changed roles, or increase in wages to conclude that there is a higher probability that they may leave for another company. Since there is a shortage of skilled workers in the industry and the cost of finding and hiring workers are expensive, eBay must keep these workers happy. When a list of potential employees who may leave is identified, managers must act quickly to review and do whatever they can to prevent it from happening.<\/p>\n

Since Big data analytics is a new field, many students are asking how they can get in this high demand jobs. To work in this area, you need to have at least a Master degree in Data Science or equivalent such as Master in Software Engineering or Master in Information System Management.<\/p>\n

Big Data Scientist must be a domain expert who has the ability to explain how information analytics can help business leaders to make appropriate decisions in real time. Therefore, Big data scientist must understand the business processes across the company, from marketing, sales, distribution, operations, pricing, products, finance, risk, etc. The Big data scientist must be a database expert who has good understanding of external and internal data sources, how they are collected and stored. (That is why students in Information System Management are better fit in this field).<\/p>\n

The Big data scientist must be able to extract, transform and load these data stores from internal source as well as retrieve data from external sources such as internet, social media or other sources then manipulate them using Hadoop, Hive, Pig, MapReduce, Mahoot etc. to analyze the data and generates special reports where special insight values are identified. This is NOT similar to traditional database and business intelligence techniques because it deals with massive amount of data from several sources in which many data are structured and unstructured (Note: Traditional business intelligence only deals with defined structured data stored in the database and focus on past data). Since Big data are dealing with prediction which is in real time or the future, Big data scientist must be able to determine the most appropriate statistical techniques for addressing the possibility. Big data scientist must be able to apply relevant techniques, and translate the results and generate \u201cinsights reports\u201d in such a way that company leaders can understand and act very fast to capture the value. This require Big data scientist to have a thorough understanding of statistics (e.g., regression analysis, cluster analysis, and optimization techniques) techniques and the tools and languages used to run the analysis such as \u201cSAS\u201d or \u201cR\u201d. To do that Big data scientist must be able to write special software who implement computational techniques such as machine learning, natural language processing, graph\/social network analysis, neural nets, and simulation modelling. Most of these applications are written in a variety of languages such as Java, Python, C++, Math lab and R. (That is why Software Engineering students are better fit in this field)<\/p>\n","protected":false},"excerpt":{"rendered":"

Big Data c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c m\u00f4 t\u1ea3 l\u00e0 \u201cC\u00f4ng ngh\u1ec7 m\u1edbi \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 tr\u00edch r\u00fat gi\u00e1 tr\u1ecb t\u1eeb kh\u1ed1i l\u01b0\u1ee3ng r\u1ea5t l\u1edbn c\u1ee7a … <\/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-4168","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\/4168","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=4168"}],"version-history":[{"count":2,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/4168\/revisions"}],"predecessor-version":[{"id":4170,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/4168\/revisions\/4170"}],"wp:attachment":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4168"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4168"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4168"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}