1 00:00:00,000 --> 00:00:11,370 2 00:00:11,370 --> 00:00:12,370 JEFFREY Licht: Hi huko. 3 00:00:12,370 --> 00:00:13,550 Mimi nina Jeffrey Licht. 4 00:00:13,550 --> 00:00:17,890 Na mimi niko hapa kuzungumza na wewe kuhusu Harvard Library na kujenga kesho 5 00:00:17,890 --> 00:00:20,870 maktaba leo, mimi nadhani. 6 00:00:20,870 --> 00:00:23,040 Hivyo background hapa, lami kwa ajili ya kikao hiki 7 00:00:23,040 --> 00:00:26,930 kimsingi ni kwamba kuna mengi ya data bibliographic 8 00:00:26,930 --> 00:00:28,400 inapatikana katika maktaba Harvard. 9 00:00:28,400 --> 00:00:33,434 Na kuna nafasi, kupitia baadhi ya zana 10 00:00:33,434 --> 00:00:36,350 na mradi hiyo kuwa na maendeleo, ili kupata habari 11 00:00:36,350 --> 00:00:42,430 na kuchukua kwa maeneo ambayo Harvard Library si kufanya sasa hivi, 12 00:00:42,430 --> 00:00:45,460 kufanya mambo mapya na hayo, majaribio na kucheza karibu na hiyo. 13 00:00:45,460 --> 00:00:52,413 >> Hivyo hatua ya kuingia ndani ya hii ni API kuitwa Harvard Library Cloud, ambayo 14 00:00:52,413 --> 00:00:57,650 ni wazi metadata server, ambayo nitazungumzia sasa. 15 00:00:57,650 --> 00:01:02,595 Hivyo background ni kwamba kuna mengi ya mambo katika maktaba Harvard. 16 00:01:02,595 --> 00:01:07,150 Tuna zaidi ya milioni 13 bibliographic kumbukumbu, mamilioni ya picha, 17 00:01:07,150 --> 00:01:11,090 na maelfu ya misaada kutafuta, ambayo kimsingi nyaraka kuelezea 18 00:01:11,090 --> 00:01:15,500 makusanyo, kusema nini ndani yao, masanduku ya karatasi 19 00:01:15,500 --> 00:01:21,080 na kadhalika kwamba kuwakilisha juu ya milioni nyaraka binafsi. 20 00:01:21,080 --> 00:01:24,290 Na pia kuna mengi ya habari kwamba maktaba ina 21 00:01:24,290 --> 00:01:28,180 kuhusu jinsi ya maudhui ni kutumika kwamba inaweza kuwa ya manufaa kwa watu 22 00:01:28,180 --> 00:01:32,400 ambao wanaweza wanataka kufanya kazi na yake. 23 00:01:32,400 --> 00:01:36,150 >> Hivyo wote wa habari maktaba ina metadata. 24 00:01:36,150 --> 00:01:39,500 Hivyo metadata ni data kuhusu data. 25 00:01:39,500 --> 00:01:42,070 Hivyo wakati sisi majadiliano juu ya habari kwamba 26 00:01:42,070 --> 00:01:44,890 inapatikana kwa njia ya maktaba wingu hiyo inapatikana, 27 00:01:44,890 --> 00:01:47,760 ni si lazima nyaraka halisi 28 00:01:47,760 --> 00:01:53,060 wenyewe, si lazima full Nakala ya vitabu au picha kamili, 29 00:01:53,060 --> 00:01:54,890 ingawa kwamba kweli inaweza kuwa kesi. 30 00:01:54,890 --> 00:01:57,550 Lakini ni kweli habari kuhusu data. 31 00:01:57,550 --> 00:02:00,909 >> Hivyo unaweza kufikiria cataloging habari, namba ya simu, masomo, 32 00:02:00,909 --> 00:02:02,700 nakala ngapi ya kitabu kuna, nini 33 00:02:02,700 --> 00:02:06,380 matoleo, ni nini muundo, waandishi, na kadhalika. 34 00:02:06,380 --> 00:02:12,250 Hivyo kuna habari nyingi kuhusu habari katika ukusanyaji kwamba, 35 00:02:12,250 --> 00:02:14,400 yenyewe, ni aina ya asili muhimu. 36 00:02:14,400 --> 00:02:19,230 Na ingawa kama wewe ni kufanya utafiti wa kina, 37 00:02:19,230 --> 00:02:25,160 wewe ni wazi wanataka kupata halisi yaliyomo yenyewe na kuangalia data, 38 00:02:25,160 --> 00:02:30,140 metadata ni muhimu katika suala la wote kuchambua corpus kwa ujumla, 39 00:02:30,140 --> 00:02:33,870 kama mambo ni katika ukusanyaji. 40 00:02:33,870 --> 00:02:35,520 Jinsi gani wao yanahusiana? 41 00:02:35,520 --> 00:02:39,482 Ni husaidia kweli kupata mambo mengine, ambayo ni kweli lengo kuu yake. 42 00:02:39,482 --> 00:02:41,190 hatua ya metadata na catalog 43 00:02:41,190 --> 00:02:43,230 ni kukusaidia kupata yote habari kwamba 44 00:02:43,230 --> 00:02:46,590 inapatikana ndani ya makusanyo. 45 00:02:46,590 --> 00:02:53,690 >> Hivyo hii ni mfano wa metadata kwa ajili ya kitabu katika maktaba Harvard. 46 00:02:53,690 --> 00:02:56,370 Hivyo ni huko. 47 00:02:56,370 --> 00:02:59,850 Na unaweza kuona ni kweli kiasi tata. 48 00:02:59,850 --> 00:03:04,610 Na sehemu ya thamani ya metadata ndani ya mfumo wa Harvard Library 49 00:03:04,610 --> 00:03:09,320 ni kwamba imekuwa ni aina ya kujengwa na catalogers 50 00:03:09,320 --> 00:03:12,720 na walikutana na watu kuomba mengi ya utaalamu na ujuzi 51 00:03:12,720 --> 00:03:20,030 na mawazo yake baada ya muda, ambayo ina mengi ya thamani. 52 00:03:20,030 --> 00:03:25,450 >> Hivyo kama wewe kuangalia rekodi hii kwa Annotated Alice, unaweza kupata nje 53 00:03:25,450 --> 00:03:32,590 nimepata cheo, ambaye aliandika, mwandishi, na masomo yote tofauti 54 00:03:32,590 --> 00:03:35,380 ambayo watu kuorodhesha ndani. 55 00:03:35,380 --> 00:03:40,110 Na unaweza kuona kuna pia, katika Mbali na habari nzuri nyingi 56 00:03:40,110 --> 00:03:42,852 hapa, kuna baadhi ya kurudia. 57 00:03:42,852 --> 00:03:45,560 Kuna mengi ya utata kwamba yalijitokeza kwa njia ya metadata 58 00:03:45,560 --> 00:03:46,300 kwamba una. 59 00:03:46,300 --> 00:03:50,320 >> Hivyo cheo moja ya kitabu hiki ni Adventures Alice katika Wonderland. 60 00:03:50,320 --> 00:03:53,880 Hivyo hii ni zenye maelezo toleo la kitabu hicho. 61 00:03:53,880 --> 00:03:56,380 Lakini pia hujulikana Annotated Alice, Adventures Alice ya 62 00:03:56,380 --> 00:03:58,570 katika Wonderland kwa sababu ni kitu ambacho 63 00:03:58,570 --> 00:04:00,430 Martin Gardner aliandika na Annotated kitabu. 64 00:04:00,430 --> 00:04:03,369 Na kuna mengi ya habari kubwa kuhusu puzzles mantiki na mambo 65 00:04:03,369 --> 00:04:05,410 ndani ya Alice kwamba pengine hawakujua juu. 66 00:04:05,410 --> 00:04:07,000 Hivyo unapaswa kwenda kusoma. 67 00:04:07,000 --> 00:04:11,940 >> Lakini unaweza kuona kuna mengi ya undani hapa, 68 00:04:11,940 --> 00:04:15,340 ikiwa ni pamoja na vitambulisho, wakati iliundwa, ambapo alifika kutoka, 69 00:04:15,340 --> 00:04:17,420 katika suala la Harvard mfumo, na kadhalika. 70 00:04:17,420 --> 00:04:20,350 Hivyo hii ni sampuli ya aina ya metadata 71 00:04:20,350 --> 00:04:24,340 kwamba unaweza kuona kwa kitabu katika Mkusanyiko Harvard Library. 72 00:04:24,340 --> 00:04:26,680 >> Hii ni kitu tofauti kabisa. 73 00:04:26,680 --> 00:04:32,610 Kwa hiyo, kuna mfumo uitwao VIA Harvard, ambayo kimsingi 74 00:04:32,610 --> 00:04:39,990 ni akaorodhesha picha na malengo ya sanaa na mambo ya Visual katika Harvard, 75 00:04:39,990 --> 00:04:44,010 na kuongeza baadhi ya metadata kwao, kuainisha yao, 76 00:04:44,010 --> 00:04:49,200 na katika baadhi ya kesi, kutoa images ndogo thumbnail 77 00:04:49,200 --> 00:04:51,250 kuwa unaweza kuchukua kuangalia kama hivyo unataka. 78 00:04:51,250 --> 00:04:54,240 >> Hivyo hii ni mfano wa metadata kwamba una kwa sahani 79 00:04:54,240 --> 00:04:57,840 kutoka, labda, Alice katika Wonderland. 80 00:04:57,840 --> 00:05:00,499 Na unaweza kuona kuna metadata chini hapa. 81 00:05:00,499 --> 00:05:02,040 Ni tu aina tofauti ya kifaa. 82 00:05:02,040 --> 00:05:03,425 Na hivyo kuna habari kidogo. 83 00:05:03,425 --> 00:05:07,790 >> You zaidi na ukweli kwamba, wito simu, kimsingi aliye Muumba yake, - 84 00:05:07,790 --> 00:05:10,410 >> Hatujui wakati iliundwa. 85 00:05:10,410 --> 00:05:13,320 >> --and cheo. 86 00:05:13,320 --> 00:05:14,300 >> Mfano mwingine. 87 00:05:14,300 --> 00:05:16,380 Hii ni misaada kutafuta. 88 00:05:16,380 --> 00:05:19,030 Hivyo kuna mkusanyiko wa Lewis Karatasi Carroll ya saa Harvard. 89 00:05:19,030 --> 00:05:23,601 Hivyo hii inaeleza nini ni katika ukusanyaji hiyo. 90 00:05:23,601 --> 00:05:26,100 Hivyo mtu aliyepata kupitia na inaonekana kwa njia ya masanduku yote 91 00:05:26,100 --> 00:05:32,220 na kuorodhesha yake, kutokana na baadhi ya background, imeandikwa muhtasari wa nini hapa. 92 00:05:32,220 --> 00:05:35,290 Na kama wewe walikuwa kuangalia zaidi katika hii, 93 00:05:35,290 --> 00:05:39,620 unaendelea kwa kurasa na kurasa na kurasa, lakini atakuambia 94 00:05:39,620 --> 00:05:41,860 herufi gani na nini tarehe kutokana na kile masanduku 95 00:05:41,860 --> 00:05:44,289 kuwepo katika ukusanyaji. 96 00:05:44,289 --> 00:05:46,330 Lakini hili ni jambo kwamba, kama uko katika Harvard, 97 00:05:46,330 --> 00:05:50,720 unaweza kwenda na kwa kweli kimwili kuangalia up na, pengine, tuangalie. 98 00:05:50,720 --> 00:05:53,440 >> Hivyo hii ni makuu yote. 99 00:05:53,440 --> 00:05:54,450 Metadata huu muhimu. 100 00:05:54,450 --> 00:05:56,327 Ni katika mfumo Harvard Library. 101 00:05:56,327 --> 00:05:58,910 Kuna zana online ambapo unaweza kwenda na kuangalia saa hiyo, 102 00:05:58,910 --> 00:05:59,993 na kuona, na kutafuta yake. 103 00:05:59,993 --> 00:06:02,810 Na unaweza kipande na kete katika kura ya njia tofauti. 104 00:06:02,810 --> 00:06:06,920 >> Lakini ni kweli inapatikana tu kama wewe ni binadamu kukaa chini 105 00:06:06,920 --> 00:06:12,600 katika mtandao browser yako au kitu au simu yako na punde kwa njia hiyo. 106 00:06:12,600 --> 00:06:16,730 Ni kweli inapatikana katika aina yoyote ya usable mtindo 107 00:06:16,730 --> 00:06:19,520 kwa mifumo mingine au kompyuta nyingine kutumia, 108 00:06:19,520 --> 00:06:21,500 si kwa mifumo ya ndani ya Harvard Library, 109 00:06:21,500 --> 00:06:24,890 lakini mifumo katika dunia ya nje, tu watu wengine kwa ujumla. 110 00:06:24,890 --> 00:06:30,210 Hivyo swali ni, ni jinsi gani sisi kufanya hivyo inapatikana kwa kompyuta 111 00:06:30,210 --> 00:06:33,560 ili tuweze kufanya zaidi ya kuvutia mambo nayo kuliko tu 112 00:06:33,560 --> 00:06:36,550 kuvinjari wenyewe? 113 00:06:36,550 --> 00:06:39,766 >> Hivyo ni kwa nini unataka kufanya hili? 114 00:06:39,766 --> 00:06:41,140 Kuna mengi ya uwezekano. 115 00:06:41,140 --> 00:06:43,980 Moja ni unaweza kujenga kabisa njia tofauti ya kuvinjari 116 00:06:43,980 --> 00:06:46,962 maudhui ambayo inapatikana kupitia Maktaba Harvard. 117 00:06:46,962 --> 00:06:48,670 Mimi nitakuonyesha moja baadaye kuitwa Stacklife, 118 00:06:48,670 --> 00:06:52,440 ambayo ina tofauti kabisa kuchukua kuangalia kwa maudhui. 119 00:06:52,440 --> 00:06:54,560 >> Unaweza kujenga injini mapendekezo. 120 00:06:54,560 --> 00:06:57,955 Hivyo Harvard Library si katika biashara ya kusema, wewe kama kitabu hiki. 121 00:06:57,955 --> 00:07:01,080 Kisha kwenda kuangalia hayo mengine 17 vitabu kwamba unaweza kuwa na nia ya 122 00:07:01,080 --> 00:07:03,200 au hizi 18 picha nyingine. 123 00:07:03,200 --> 00:07:06,040 Lakini kwamba hakika inaweza kuwa kipengele muhimu. 124 00:07:06,040 --> 00:07:09,272 Na kutokana na metadata, inaweza kuwa inawezekana kuweka kwamba pamoja. 125 00:07:09,272 --> 00:07:11,980 Unaweza kuwa na mahitaji mbalimbali katika suala la kutafuta maudhui, 126 00:07:11,980 --> 00:07:16,200 kama labda licha zana kwamba zinapatikana kwamba maktaba hufanya 127 00:07:16,200 --> 00:07:18,450 inapatikana, unaweza kutaka kutafuta katika njia tofauti 128 00:07:18,450 --> 00:07:21,847 au kuongeza kwa fulani matumizi ya kesi, ambayo labda ni maalumu sana. 129 00:07:21,847 --> 00:07:23,930 Labda kuna wachache tu watu katika ulimwengu ambao 130 00:07:23,930 --> 00:07:25,846 unataka kutafuta maudhui kwa njia hii, lakini 131 00:07:25,846 --> 00:07:28,985 Itakuwa kubwa kama sisi inaweza waache kufanya hivyo. 132 00:07:28,985 --> 00:07:30,860 Kuna mengi ya analytics katika watu tu jinsi 133 00:07:30,860 --> 00:07:33,860 kutumia maudhui kwamba itakuwa kweli kuvutia kujua kuhusu, kujua 134 00:07:33,860 --> 00:07:37,280 nini vitabu zinatumika, nini si, na kadhalika. 135 00:07:37,280 --> 00:07:41,670 Na kisha kuna mengi ya nafasi ya kuunganisha 136 00:07:41,670 --> 00:07:45,210 na taarifa nyingine kwamba huko nje kwenye mtandao. 137 00:07:45,210 --> 00:07:46,880 Hivyo sisi have-- 138 00:07:46,880 --> 00:07:50,260 >> Kwa mfano, NPR ina kitabu mapitio sehemu, 139 00:07:50,260 --> 00:07:53,090 ambako mahojiano waandishi juu ya vitabu. 140 00:07:53,090 --> 00:07:56,837 Na hivyo itakuwa kubwa kama ungekuwa kuangalia juu kitabu katika Harvard 141 00:07:56,837 --> 00:07:59,670 Library, na kusema, OK, kuna imekuwa mahojiano na mwandishi. 142 00:07:59,670 --> 00:08:00,878 Hebu kwenda kuangalia hiyo. 143 00:08:00,878 --> 00:08:05,461 Au kuna ukurasa Wikipedia, kama mamlaka, kitaalamu kumbukumbu 144 00:08:05,461 --> 00:08:07,710 juu ya kitabu hiki kwamba kutaka kuangalia. 145 00:08:07,710 --> 00:08:12,600 >> Kuna aina hii ya vyanzo kutawanyika katika mtandao. 146 00:08:12,600 --> 00:08:16,555 Na kuwaleta pamoja inaweza kuwa matumizi makubwa 147 00:08:16,555 --> 00:08:18,930 kwa mtu kuangalia maudhui, kutafuta kitu. 148 00:08:18,930 --> 00:08:20,180 Lakini pia ni si aina ya kitu wewe d 149 00:08:20,180 --> 00:08:23,205 wanataka maktaba kuwajibika kwa ajili ya kwenda chini na uwindaji chini 150 00:08:23,205 --> 00:08:25,455 vyanzo vyote hivi tofauti na plugging yao pamoja 151 00:08:25,455 --> 00:08:28,920 kwa sababu wao ni kubadilisha daima. 152 00:08:28,920 --> 00:08:33,570 Na nini wanafikiri ni muhimu may kuwa nini unafikiri ni muhimu. 153 00:08:33,570 --> 00:08:36,929 >> Na hata hivyo zaidi, kimsingi kuna mengi ya mambo sisi si mawazo ya bado. 154 00:08:36,929 --> 00:08:42,222 Hivyo kama tunaweza kufungua hili, zaidi watu badala ya nusu dazeni au hivyo, 155 00:08:42,222 --> 00:08:45,174 ambao ni kuangalia hii juu ya mara kwa mara unaweza kufikiria mawazo 156 00:08:45,174 --> 00:08:47,340 na massage data, na kufanya nini wanataka na hayo. 157 00:08:47,340 --> 00:08:49,920 158 00:08:49,920 --> 00:08:54,045 >> Hivyo tunataka kufanya hili data inapatikana kwa ulimwengu. 159 00:08:54,045 --> 00:08:55,670 Naam, kuna matatizo ya wanandoa. 160 00:08:55,670 --> 00:08:58,540 Moja ni kwamba metadata hii ni katika mifumo tofauti. 161 00:08:58,540 --> 00:09:01,110 Ni katika miundo mbalimbali. 162 00:09:01,110 --> 00:09:04,719 Hivyo kuna baadhi ya kuhalalisha ambayo mahitaji ya kutokea, 163 00:09:04,719 --> 00:09:08,010 ambayo kuhalalisha kuwa mchakato wa kuleta mambo kutoka miundo mbalimbali 164 00:09:08,010 --> 00:09:12,940 na kuchora ramani yao na muundo moja ili mashamba mechi up. 165 00:09:12,940 --> 00:09:15,160 >> Kuna vikwazo baadhi ya hati miliki. 166 00:09:15,160 --> 00:09:21,010 Oddly kutosha, kuingia catalog kuhusu kitabu ni yeye binafsi kwa hati miliki. 167 00:09:21,010 --> 00:09:24,060 Hivyo hata kama ni tu habari inayotokana na kitabu, 168 00:09:24,060 --> 00:09:25,330 ni copyrightable. 169 00:09:25,330 --> 00:09:28,400 Na kulingana na ambao kwa kweli kuundwa metadata kwamba, 170 00:09:28,400 --> 00:09:32,175 kunaweza kuwa na vikwazo juu ya nani unaweza kugawa, sawa to-- 171 00:09:32,175 --> 00:09:33,402 >> Sijui. 172 00:09:33,402 --> 00:09:36,110 Ni wanaweza au si kuwa sawa na hali ya wimbo lyrics, 173 00:09:36,110 --> 00:09:36,610 kwa mfano. 174 00:09:36,610 --> 00:09:38,560 Hivyo sisi wote tunajua jinsi kwamba sufuria nje. 175 00:09:38,560 --> 00:09:40,450 Hivyo haja ya kupata kote kwamba suala hilo. 176 00:09:40,450 --> 00:09:44,910 >> Na kisha mwingine kipande ni kwamba kuna mengi ya data. 177 00:09:44,910 --> 00:09:52,420 Hivyo kama mimi ni mtu ambaye anataka kufanya kazi na data au ana wazo baridi, 178 00:09:52,420 --> 00:09:55,350 kushughulika na milioni 14 kumbukumbu juu ya mbali yangu 179 00:09:55,350 --> 00:09:57,487 inaweza kuwa tatizo na vigumu kusimamia. 180 00:09:57,487 --> 00:09:59,320 Hivyo tunataka kupunguza vikwazo kwa watu 181 00:09:59,320 --> 00:10:02,130 kuwa na uwezo wa kufanya kazi na data. 182 00:10:02,130 --> 00:10:07,880 >> Hivyo mbinu kwamba hopefully anwani wote wa masuala hayo ni sehemu mbili. 183 00:10:07,880 --> 00:10:11,770 Moja ni kujenga jukwaa kwamba inachukua data kutoka vyanzo haya yote tofauti 184 00:10:11,770 --> 00:10:14,350 na aggravates yake, normalizes, kuimarisha, na hufanya 185 00:10:14,350 --> 00:10:16,650 kupatikana katika eneo moja. 186 00:10:16,650 --> 00:10:20,950 Na inafanya inapatikana kwa njia ya API umma kwamba watu wanaweza kupiga simu. 187 00:10:20,950 --> 00:10:24,430 >> Hivyo API ni Maombi Programming Interface. 188 00:10:24,430 --> 00:10:28,930 Na kimsingi inahusu endpoint kwamba mfumo au teknolojia 189 00:10:28,930 --> 00:10:31,720 wanaweza kupiga na kupata data nyuma katika format muundo katika njia 190 00:10:31,720 --> 00:10:32,900 kwamba inaweza kutumika. 191 00:10:32,900 --> 00:10:36,060 Hivyo si tegemezi juu ya kwenda tovuti 192 00:10:36,060 --> 00:10:37,970 na kugema data off yake, kwa mfano. 193 00:10:37,970 --> 00:10:40,690 194 00:10:40,690 --> 00:10:45,010 >> Hivyo hii ni ukurasa wa nyumbani wa Library Cloud Item API, 195 00:10:45,010 --> 00:10:47,220 ambayo kimsingi ni toleo zake mbili. 196 00:10:47,220 --> 00:10:50,130 Hivyo ni iteration pili ya kujaribu kufanya yote ya takwimu hii 197 00:10:50,130 --> 00:10:53,280 inapatikana kwa ulimwengu. 198 00:10:53,280 --> 00:10:59,560 Hivyo ni http://api.lib.harvard.edu/v2/items. 199 00:10:59,560 --> 00:11:03,830 Na tu kuvunja hii chini kidogo, hii ina maana gani 200 00:11:03,830 --> 00:11:06,115 ni kwamba hii ni toleo wawili wa API. 201 00:11:06,115 --> 00:11:08,490 Kuna toleo moja, ambayo Mimi si kwenda kuzungumza kuhusu. 202 00:11:08,490 --> 00:11:09,750 Lakini kuna toleo moja. 203 00:11:09,750 --> 00:11:14,740 >> Na kama wewe ni wito huu API, wewe ni kupata vitu. 204 00:11:14,740 --> 00:11:20,640 Na sehemu ya wazo la API ni API ni mkataba. 205 00:11:20,640 --> 00:11:23,440 Ni kitu ambacho ni si kwenda na mabadiliko. 206 00:11:23,440 --> 00:11:24,850 Hivyo kwa mfano, - 207 00:11:24,850 --> 00:11:27,410 >> Na sababu ni kwamba kama mimi kujenga aina fulani ya mfumo kwamba 208 00:11:27,410 --> 00:11:33,210 ni kwenda kutumia maktaba wingu API kuonyesha vitabu au kuwasaidia watu kupata 209 00:11:33,210 --> 00:11:36,190 habari kwa namna ya kipekee, nini hatutaki kutokea 210 00:11:36,190 --> 00:11:38,940 ni kwa ajili yetu kwenda kubadili jinsi kwamba API kazi, na ghafla 211 00:11:38,940 --> 00:11:41,340 kila kitu mapumziko upande mtumiaji wa mwisho. 212 00:11:41,340 --> 00:11:46,710 Hivyo sehemu ya kama wewe ni kufanya API inapatikana kwa dunia, ni 213 00:11:46,710 --> 00:11:49,396 mazoezi mazuri kuweka nambari ya toleo katika hivyo watu 214 00:11:49,396 --> 00:11:51,020 kujua nini version wao ni kushughulika na. 215 00:11:51,020 --> 00:11:54,300 >> Hivyo kama sisi kuamua sisi kupata njia bora ya kufanya habari hii inapatikana, 216 00:11:54,300 --> 00:11:57,295 tupate mabadiliko ya kwamba kwa wito kwamba toleo tatu. 217 00:11:57,295 --> 00:11:59,920 Hivyo kila mtu ambaye bado ni kutumia toleo mbili, kwamba utakuwa bado kazi. 218 00:11:59,920 --> 00:12:03,490 Lakini toleo tatu ingekuwa na mambo yote mapya. 219 00:12:03,490 --> 00:12:06,680 220 00:12:06,680 --> 00:12:09,210 >> Hivyo hii ni API, lakini hii kweli inaonekana kama URL. 221 00:12:09,210 --> 00:12:11,680 Na hivyo jambo hili ni mfano wa ni nini 222 00:12:11,680 --> 00:12:16,615 kuitwa API wengine, ambayo inapatikana juu ya mara kwa mara tu mtandao uhusiano. 223 00:12:16,615 --> 00:12:19,680 Na unaweza kweli kwenda katika browser. 224 00:12:19,680 --> 00:12:28,550 >> Hivyo hapa nimekuwa tu wazi juu ya Firefox na wamekwenda api.lib.harvard.edu/v2/items. 225 00:12:28,550 --> 00:12:31,560 Na hivyo kile mimi kupata hapa ni kimsingi ukurasa wa kwanza 226 00:12:31,560 --> 00:12:34,740 kwa matokeo ya nzima seti ya vitu kwamba sisi tumepewa. 227 00:12:34,740 --> 00:12:37,460 Na ni hapa katika XML format. 228 00:12:37,460 --> 00:12:40,130 229 00:12:40,130 --> 00:12:42,210 Na ni pia wamekuwa prettified na Firefox. 230 00:12:42,210 --> 00:12:45,850 Haina kweli kuwa yote haya kupanua kidogo na kuambukizwa 231 00:12:45,850 --> 00:12:47,880 doohickeys hapa. 232 00:12:47,880 --> 00:12:52,520 Hii ni aina ya nicer toleo njia ya kuangalia saa yake. 233 00:12:52,520 --> 00:12:57,040 >> Lakini nini hii ni kutuambia ni Nimekuwa aliomba vitu vyote. 234 00:12:57,040 --> 00:13:03,120 Hivyo kuna vitu 13,289,475. 235 00:13:03,120 --> 00:13:06,150 Na mimi nina kuangalia kwa mara ya kwanza 10, kuanzia saa nafasi zero 236 00:13:06,150 --> 00:13:09,760 kwa sababu katika sayansi ya kompyuta sisi daima kuanza saa sifuri. 237 00:13:09,760 --> 00:13:15,150 Na kile Mimi hapa, kama mimi tu kuanguka hii, utaona Mimi nimepata vitu 10. 238 00:13:15,150 --> 00:13:20,410 239 00:13:20,410 --> 00:13:25,210 >> Na kama mimi kuangalia bidhaa, naweza kuona kwamba mimi nimepata habari kuhusu hilo. 240 00:13:25,210 --> 00:13:27,400 Na hii ni katika kile kinachoitwa mods fomu. 241 00:13:27,400 --> 00:13:30,860 Na hivyo mimi nina kwenda kubadili nyuma hapa kwa sasa. 242 00:13:30,860 --> 00:13:33,750 OK. 243 00:13:33,750 --> 00:13:37,447 >> Basi hebu kutafuta kitu katika maalum kwa sababu bidhaa ya kwanza kwamba 244 00:13:37,447 --> 00:13:40,030 kinachotokea kuja wakati ukiangalia njia ya ukusanyaji nzima 245 00:13:40,030 --> 00:13:41,750 ni, kwa ufafanuzi, random. 246 00:13:41,750 --> 00:13:44,550 Basi hebu kuangalia kwa baadhi donuts. 247 00:13:44,550 --> 00:13:46,830 Oh. 248 00:13:46,830 --> 00:13:49,190 >> OK. 249 00:13:49,190 --> 00:13:49,940 Hivyo donuts. 250 00:13:49,940 --> 00:13:55,360 Hivyo sisi kupatikana kuna 80 vitu katika ukusanyaji kwamba rejea donuts. 251 00:13:55,360 --> 00:13:57,150 Sisi ni kuangalia kwa mara ya kwanza 10 kati yao. 252 00:13:57,150 --> 00:14:01,890 Sasa, unaweza kuona hapa kwamba njia Mimi alisema mimi nina kuangalia kwa donuts, 253 00:14:01,890 --> 00:14:04,400 I just aliongeza na kitu cha kamba swala la URL. 254 00:14:04,400 --> 00:14:09,680 Hivyo q sawa donuts, ambayo unaweza kuona kidogo kwa urahisi zaidi hapa. 255 00:14:09,680 --> 00:14:12,131 >> Na hii kimsingi ina maana kuna spec kwa API, ambayo 256 00:14:12,131 --> 00:14:13,880 amefafanua nini yote ya vigezo haya yana maana. 257 00:14:13,880 --> 00:14:17,150 Na hii ina maana tunakwenda kutafuta kila kitu kwa ajili donuts. 258 00:14:17,150 --> 00:14:24,910 >> Hivyo bidhaa kwanza hapa tuna unaweza kuona cheo ni Donuts, 259 00:14:24,910 --> 00:14:29,310 na kuna Subtitle kuitwa An Passion Marekani, ambayo ni, mimi nadhani, 260 00:14:29,310 --> 00:14:31,610 sahihi. 261 00:14:31,610 --> 00:14:36,134 Kuna mengi ya different-- 262 00:14:36,134 --> 00:14:38,050 Baada ya kupata kwa uhakika ya kupata data, 263 00:14:38,050 --> 00:14:41,020 kuna mengi ya tofauti muundo kwamba unaweza kupata ndani. 264 00:14:41,020 --> 00:14:44,050 Na kuna nguvu mbalimbali na udhaifu kwa wao wote. 265 00:14:44,050 --> 00:14:49,000 Hivyo hii moja, unaweza kuona hapa, aina hii ni tajiri sana. 266 00:14:49,000 --> 00:14:51,946 Na ni sanifu. 267 00:14:51,946 --> 00:14:55,040 >> Hivyo kuna cheo maalum uwanja, shamba Subtitle. 268 00:14:55,040 --> 00:14:58,950 Kuna mbadala cheo, Passion Marekani. 269 00:14:58,950 --> 00:15:01,650 Kuna jina yanayohusiana na hayo. 270 00:15:01,650 --> 00:15:03,120 Aina ya rasilimali ni wa maandishi. 271 00:15:03,120 --> 00:15:06,070 Kuna mengi ya habari hapa katika muundo huu. 272 00:15:06,070 --> 00:15:09,480 >> Lakini kuna rundo muundo wa tofauti. 273 00:15:09,480 --> 00:15:11,920 Hivyo kile sisi walikuwa tu kuangalia ni format 274 00:15:11,920 --> 00:15:17,700 kuitwa mods, ambayo inasimamia kwa Metadata Object Maelezo Service, 275 00:15:17,700 --> 00:15:18,250 uwezekano. 276 00:15:18,250 --> 00:15:23,030 Mimi kwa kweli si uhakika kabisa kuhusu S. Lakini ni format haki tata. 277 00:15:23,030 --> 00:15:24,240 Ni format default. 278 00:15:24,240 --> 00:15:30,260 >> Lakini ni moja kwamba anaendelea utajiri wa data wote 279 00:15:30,260 --> 00:15:33,820 kwamba maktaba ina sababu ni karibu sana na kile 280 00:15:33,820 --> 00:15:35,110 maktaba inatumia ndani. 281 00:15:35,110 --> 00:15:39,030 Ni kiwango ambacho ni kutumika nchini kote, 282 00:15:39,030 --> 00:15:40,944 duniani kote katika maktaba kitaaluma. 283 00:15:40,944 --> 00:15:42,110 Na ni haishirikiani sana. 284 00:15:42,110 --> 00:15:44,852 Hivyo kama wewe nimepata hati yaani katika mods format, 285 00:15:44,852 --> 00:15:47,560 unaweza kutoa kwamba kwa mtu mwingine mifumo ambao kuelewa mods, 286 00:15:47,560 --> 00:15:48,518 na wanaweza kuagiza. 287 00:15:48,518 --> 00:15:50,840 Hivyo ni standard. 288 00:15:50,840 --> 00:15:54,250 Ni vizuri sana defined, maalum sana. 289 00:15:54,250 --> 00:15:58,980 Na kwamba ni nini hufanya haishirikiani kwa sababu kama mtu anasema, 290 00:15:58,980 --> 00:16:04,930 hii ni cheo mbadala ya rekodi, kila mtu anajua kwamba ina maana gani. 291 00:16:04,930 --> 00:16:07,740 Upande wa flip, ni ngumu sana. 292 00:16:07,740 --> 00:16:13,160 >> Hivyo kama wewe kuangalia katika rekodi hii hapa, 293 00:16:13,160 --> 00:16:15,320 kama nataka tu kupata jina la waraka huu, 294 00:16:15,320 --> 00:16:21,150 ya kitabu hiki, ambayo pengine ni Donuts, Passion Marekani, parsing nje 295 00:16:21,150 --> 00:16:22,940 ni kidogo wanaohusika. 296 00:16:22,940 --> 00:16:27,380 Wakati kuna mwingine format inaitwa Dublin Core, 297 00:16:27,380 --> 00:16:29,730 ambayo ni mengi, mengi rahisi format. 298 00:16:29,730 --> 00:16:33,764 >> Na hivyo unaweza kuona hapa, hakuna cheo, Subtitle, jina mbadala. 299 00:16:33,764 --> 00:16:35,930 Kuna tu cheo ni, Donuts, Passion Marekani, 300 00:16:35,930 --> 00:16:38,780 na mwingine cheo, American Passion. 301 00:16:38,780 --> 00:16:42,907 Hivyo wakati wewe ni kuangalia namna gani unataka kupata data nje ya, 302 00:16:42,907 --> 00:16:44,740 mengi inategemea jinsi wewe ni kwenda kuitumia. 303 00:16:44,740 --> 00:16:46,573 Je, wewe ni kutumia kwa ajili ya driftskompatibilitet au kufanya 304 00:16:46,573 --> 00:16:49,970 unataka kitu rahisi kwamba inaweza kuwa rahisi kufanya kazi na? 305 00:16:49,970 --> 00:16:56,002 >> Upande wa flip, mengi ya maelezo kupata aina ya squished chini. 306 00:16:56,002 --> 00:16:58,460 Unaweza kupoteza nuances ya nini uwanja njia fulani 307 00:16:58,460 --> 00:17:02,960 kama wewe ni kushughulika na Dublin Core, ambayo bila kupata na mods. 308 00:17:02,960 --> 00:17:06,462 Basi hizo mbili ya muundo unaweza kupata nje ya API. 309 00:17:06,462 --> 00:17:08,920 Na kimsingi, sisi ni kutunza ni nyuma ya pazia katika mods. 310 00:17:08,920 --> 00:17:14,179 Lakini tunaweza kukupa ni katika mods na Dublin Core na kitu kingine chochote pia. 311 00:17:14,179 --> 00:17:16,470 kuzingatia wengine wakati wewe ni kuangalia katika data 312 00:17:16,470 --> 00:17:21,210 ni unaweza kupata kama ama JSON, ambayo anasimama kwa JavaScript Object Notation, 313 00:17:21,210 --> 00:17:24,720 au XML, ambayo inasimamia kwa Extensible ghafi lugha. 314 00:17:24,720 --> 00:17:30,080 Na hawa uwakilishi data wote na hasa data huo, hasa 315 00:17:30,080 --> 00:17:31,080 sawa mashamba. 316 00:17:31,080 --> 00:17:33,644 Lakini wao uko tu syntactically tofauti. 317 00:17:33,644 --> 00:17:40,401 >> Hivyo hii ni a-- 318 00:17:40,401 --> 00:17:41,400 Naam, hebu tu kubadili. 319 00:17:41,400 --> 00:17:47,490 Hivyo hii ni swala yetu kwa ajili ya donuts katika XML format. 320 00:17:47,490 --> 00:17:53,470 Kama mimi tu kubadili hili kuwa JSON, Mimi naona inaonekana tofauti. 321 00:17:53,470 --> 00:17:58,580 Hivyo sasa hii ni maudhui sawa, lakini muundo tofauti. 322 00:17:58,580 --> 00:18:00,080 Kuna mabano wachache pembeni. 323 00:18:00,080 --> 00:18:02,530 Kuna chini verbose. 324 00:18:02,530 --> 00:18:06,440 >> Na hii ni format kwamba, kama wewe wanafanya kazi katika mazingira ya mtandao, 325 00:18:06,440 --> 00:18:09,680 wewe ni zaidi uwezekano wa kwenda kutaka kutumia kwa sababu moja 326 00:18:09,680 --> 00:18:12,630 ya mambo mazuri kuhusu JSON ni ni sambamba na JavaScript. 327 00:18:12,630 --> 00:18:17,680 Hivyo kama mimi nina maandishi mtandao programu, siwezi kuvuta katika JSON na tu kazi na hivyo moja kwa moja. 328 00:18:17,680 --> 00:18:20,187 Ambapo pamoja na XML, ni kidogo ngumu zaidi. 329 00:18:20,187 --> 00:18:21,520 Hivyo tena, hizi ni wawili muhimu. 330 00:18:21,520 --> 00:18:26,387 Wao tu ni kesi ya matumizi mbalimbali ambapo watu kutaka kutumia yao. 331 00:18:26,387 --> 00:18:26,886 OK. 332 00:18:26,886 --> 00:18:29,810 333 00:18:29,810 --> 00:18:31,680 Hivyo nyuma API. 334 00:18:31,680 --> 00:18:32,900 Hivyo tunaweza kutafuta for-- 335 00:18:32,900 --> 00:18:36,220 >> Mimi kutoa mfano wa kwa ajili ya kutafuta donuts. 336 00:18:36,220 --> 00:18:39,330 Sisi pia unaweza kutafuta tu katika Hasa uwanja ndani ya hapa. 337 00:18:39,330 --> 00:18:41,310 Hivyo badala ya kutafuta rekodi nzima, 338 00:18:41,310 --> 00:18:43,870 Naweza tu kutafuta uwanja cheo. 339 00:18:43,870 --> 00:18:48,810 Na hivyo sasa kuna mambo 25 ambayo kuwa donuts katika cheo, moja ambayo 340 00:18:48,810 --> 00:18:52,430 ni juu ya kurejesha ardhi katika usimamizi 341 00:18:52,430 --> 00:18:54,990 ya shimo katika donut mpango, ambayo pengine ni 342 00:18:54,990 --> 00:18:58,970 sio kile sisi ni kuangalia kwa wakati sisi ni kwa ajili ya kutafuta donuts. 343 00:18:58,970 --> 00:19:02,790 344 00:19:02,790 --> 00:19:05,490 >> Unaweza pia, wakati uko kushughulika na API-- 345 00:19:05,490 --> 00:19:08,827 >> Sehemu ya kuwa API ni kutoa watu upatikanaji wa seti kubwa data. 346 00:19:08,827 --> 00:19:11,410 Na kuna wanandoa mbalimbali zana unaweza kutumia kufanya hivyo. 347 00:19:11,410 --> 00:19:14,170 Moja ni, sana tu, wewe unaweza ukurasa kupitia data. 348 00:19:14,170 --> 00:19:17,340 Hivyo tu kama wewe kufanya swala kupitia interface mtandao, 349 00:19:17,340 --> 00:19:19,470 unaweza kuangalia ukurasa mmoja, ukurasa mbili, ukurasa wa tatu. 350 00:19:19,470 --> 00:19:22,040 Unaweza kufanya hivyo Jambo kupitia API. 351 00:19:22,040 --> 00:19:24,150 Wewe tu haja ya kuwa na wazi katika jinsi ya kufanya hivyo. 352 00:19:24,150 --> 00:19:29,511 >> Hivyo kwa mfano, kama mimi nina kuangalia katika swala yangu ya kwanza hapa, 353 00:19:29,511 --> 00:19:32,510 ambapo mimi nina kufanya search kwa ajili ya mambo na donuts katika cheo, naweza kusema, 354 00:19:32,510 --> 00:19:35,415 na kikomo ni sawa na 20, ambayo ina maana nipe kwanza rekodi 20, si 355 00:19:35,415 --> 00:19:38,540 10 ya kwanza, ambayo ni ya msingi, kwa sababu nataka kuangalia 20 wakati huo. 356 00:19:38,540 --> 00:19:43,435 Au naweza kusema, kuweka kuanza sawa na 20 na kikomo 357 00:19:43,435 --> 00:19:47,150 sawa 20, ambayo nitakupa mimi kumbukumbu 21 kwa njia ya 40. 358 00:19:47,150 --> 00:19:52,680 >> Kwa hiyo mimi nadhani jambo kuchukua hapa ni 359 00:19:52,680 --> 00:19:57,290 kwamba sisi ni kutumia masharti query kuweka vigezo juu ya swala. 360 00:19:57,290 --> 00:20:02,760 Na inakuwezesha kudhibiti wewe nini kupata nyuma. 361 00:20:02,760 --> 00:20:05,980 >> Chombo kingine kwamba unaweza kutumia, - 362 00:20:05,980 --> 00:20:09,250 >> Na hii ni kweli kusaidia katika suala la kuchunguza data. 363 00:20:09,250 --> 00:20:10,840 >> --is kitu kinachoitwa Faceting. 364 00:20:10,840 --> 00:20:15,530 Hivyo mrefu Faceting ni si lazima kawaida. 365 00:20:15,530 --> 00:20:16,880 Lakini ve wote kuonekana ni kabla. 366 00:20:16,880 --> 00:20:18,630 Kama wewe kuangalia Amazon, kwa mfano, 367 00:20:18,630 --> 00:20:20,870 na kufanya search kwa donuts katika vitabu, 368 00:20:20,870 --> 00:20:27,080 hapa nimepata mfululizo wa vitabu, na wao uko makundi na jamii, 369 00:20:27,080 --> 00:20:30,470 na wewe kupata makundi mbalimbali, na jinsi vitabu katika kila jamii nyingi 370 00:20:30,470 --> 00:20:31,330 show up. 371 00:20:31,330 --> 00:20:33,420 >> Hivyo hii ni kimsingi facet. 372 00:20:33,420 --> 00:20:37,570 Unaweza kuchukua vitabu vyao yote, 1,800 vitabu wanaofanana donuts katika Amazon. 373 00:20:37,570 --> 00:20:39,820 12 kati yao ni katika kifungua kinywa jamii. 374 00:20:39,820 --> 00:20:43,100 21 katika keki na kuoka, na kadhalika na kadhalika. 375 00:20:43,100 --> 00:20:47,670 >> Hivyo hii ni kweli muhimu chombo kwa ajili ya kuchunguza maudhui 376 00:20:47,670 --> 00:20:53,260 ndani ya maktaba pamoja kwa sababu wakati ukiangalia facet, 377 00:20:53,260 --> 00:20:56,520 inakupa wazo la nini masomo lipo, kama ni aina gani ya masomo 378 00:20:56,520 --> 00:20:58,510 ni maarufu zaidi ndani ya kuweka yako swala. 379 00:20:58,510 --> 00:21:00,950 Na inasaidia gari mbali na kuchunguza. 380 00:21:00,950 --> 00:21:02,770 Hivyo tunaweza kufanya kitu kimoja. 381 00:21:02,770 --> 00:21:05,940 >> Kama tunataka kutumia API na kuangalia pande, 382 00:21:05,940 --> 00:21:08,950 sisi kuongeza parameter mwingine rafiki yetu kamba swala. 383 00:21:08,950 --> 00:21:12,540 Hivyo pande sawa comma kutengwa orodha ya nini tunataka facet juu. 384 00:21:12,540 --> 00:21:14,790 Hivyo moja ya pande inaweza kuwa chini. 385 00:21:14,790 --> 00:21:16,565 Mwingine anaweza kuwa lugha. 386 00:21:16,565 --> 00:21:19,665 Na hivyo kama sisi kukimbia kwamba swala, sisi get-- 387 00:21:19,665 --> 00:21:23,372 388 00:21:23,372 --> 00:21:24,830 Inaonekana pretty kiasi sawa hapa. 389 00:21:24,830 --> 00:21:29,010 Lakini tumekuwa aliongeza kwa mwisho orodha ya seti ya pande. 390 00:21:29,010 --> 00:21:34,060 Hivyo tuna facet kuitwa somo. 391 00:21:34,060 --> 00:21:40,250 Hivyo hii ni kutuambia kwamba kama mimi kuangalia katika matokeo yangu 80 kutoka donut swala, 392 00:21:40,250 --> 00:21:42,100 13 kati yao na somo nchini Marekani. 393 00:21:42,100 --> 00:21:43,684 Tatu na donuts somo. 394 00:21:43,684 --> 00:21:45,600 Tatu kuwa na somo ya ardhi oevu marejesho, 395 00:21:45,600 --> 00:21:47,720 ambayo inaweza kuwa shimo wetu katika donut. 396 00:21:47,720 --> 00:21:51,780 Wawili kati yao, Simpsons, na kadhalika na kadhalika. 397 00:21:51,780 --> 00:21:59,211 >> Hivyo hii inaweza kuwa na manufaa kama wewe wanataka nyembamba chini tafuta wako. 398 00:21:59,211 --> 00:22:00,210 Ni inaweza kukusaidia kufanya hivyo. 399 00:22:00,210 --> 00:22:03,580 Hasa kama una zaidi, kusema, matokeo 80. 400 00:22:03,580 --> 00:22:05,980 >> Vile vile, sisi pia aliuliza kwa pande lugha. 401 00:22:05,980 --> 00:22:14,790 Hivyo kama sisi kuangalia matokeo yetu, tunaona 76 wao ni katika Kiingereza, nne katika Kifaransa, 402 00:22:14,790 --> 00:22:19,620 mbili katika lugha ya Kihispaniola, mbili, nadhani hiyo ni undefined au haijulikani, Uholanzi na Kilatini. 403 00:22:19,620 --> 00:22:22,830 Hivyo nadhani Kilatini donut matokeo, tena, 404 00:22:22,830 --> 00:22:24,922 ina kitu cha kufanya na bidhaa Motoni. 405 00:22:24,922 --> 00:22:25,630 Lakini kuna kwenda. 406 00:22:25,630 --> 00:22:31,420 407 00:22:31,420 --> 00:22:38,630 >> Hivyo hii ni aina ya kuonyesha jinsi gani unaweza kuvuta maudhui nyuma 408 00:22:38,630 --> 00:22:41,270 kutoka API kupitia tu mtandao browser, ambayo ni kubwa. 409 00:22:41,270 --> 00:22:44,320 Lakini si kweli nini wewe ungekuwa kawaida kuwa kutumia katika API kwa ajili yake. 410 00:22:44,320 --> 00:22:48,710 Basi mfano mmoja wa jinsi gani inaweza kweli kufanya hivyo ni mimi wameweza 411 00:22:48,710 --> 00:22:54,720 imeandikwa mpango super ndogo, ambayo, tena, haina donut yangu search 412 00:22:54,720 --> 00:22:59,010 na kuchagua mashamba wanandoa na kuvipanga katika meza. 413 00:22:59,010 --> 00:23:01,610 Hivyo hii ni mengi sana maudhui sawa kwamba sisi tu 414 00:23:01,610 --> 00:23:04,830 saw na mashamba chache vunjwa nje. 415 00:23:04,830 --> 00:23:12,090 Hivyo orodha ya majina, eneo la kile kitabu 416 00:23:12,090 --> 00:23:15,120 ni kuhusu, lugha, na kadhalika na kadhalika. 417 00:23:15,120 --> 00:23:20,480 >> Hivyo ni jinsi hii kweli kilichotokea, tangu Nadhani tuna kuangalia baadhi ya kanuni, 418 00:23:20,480 --> 00:23:22,420 is-- 419 00:23:22,420 --> 00:23:28,060 >> Nini sisi hapa ni HTML rahisi ukurasa, ambayo maonyesho maandishi, 420 00:23:28,060 --> 00:23:32,900 kuwakaribisha kwa maktaba wingu na kisha maonyesho jedwali la matokeo. 421 00:23:32,900 --> 00:23:37,790 Na kuna wazi hakuna matokeo katika meza wakati ukurasa anapata kubeba. 422 00:23:37,790 --> 00:23:41,380 Lakini nini sisi ni kufanya ni, kwanza ya yote, sisi 423 00:23:41,380 --> 00:23:46,290 ni upakiaji maktaba kuitwa jQuery, ambayo kimsingi ni 424 00:23:46,290 --> 00:23:52,030 Maktaba JavaScript, ambayo inafanya rahisi sana kuendesha JavaScript 425 00:23:52,030 --> 00:23:58,780 natively, HTML, na kujenga kurasa za mtandao, mteja upande mantiki na kurasa za mtandao. 426 00:23:58,780 --> 00:24:01,595 >> Hivyo nini sisi hapa ni jQuery ina njia inayoitwa Kupata, 427 00:24:01,595 --> 00:24:05,270 ambayo kimsingi watakwenda URL, ambayo, katika kesi hii, 428 00:24:05,270 --> 00:24:09,070 hii ni familiar kuangalia URL. 429 00:24:09,070 --> 00:24:14,440 Na kisha kupata bidhaa kutoka URL na kisha kukimbia kazi juu yake. 430 00:24:14,440 --> 00:24:19,240 Hivyo tulisema kwenda api.lib.harvard / edu. 431 00:24:19,240 --> 00:24:20,060 Kutafuta donuts. 432 00:24:20,060 --> 00:24:21,300 Utupe rekodi 20. 433 00:24:21,300 --> 00:24:28,590 Na kisha kukimbia kazi hii, ambayo Nimekuwa kuchaguliwa, kupita data. 434 00:24:28,590 --> 00:24:34,430 Na data ni JSON kwamba got akarudi kutoka API. 435 00:24:34,430 --> 00:24:40,120 >> Na kisha sisi ni kusema, ndani ya kwamba data kuna shamba iitwayo item. 436 00:24:40,120 --> 00:24:48,117 Na nikienda kuangalia nyuma katika mmoja wa haya matokeo ya kuwa hapa, 437 00:24:48,117 --> 00:24:49,200 kuna kitu called-- 438 00:24:49,200 --> 00:24:50,220 >> Naam, ni kuitwa item. 439 00:24:50,220 --> 00:24:53,520 Hivyo kwamba inaweza kuwa kwamba. 440 00:24:53,520 --> 00:25:01,840 Na nini ni gani ni huenda kwa njia ya kila kitu 441 00:25:01,840 --> 00:25:05,300 na kisha wito mwingine kazi juu ya kila kitu. 442 00:25:05,300 --> 00:25:08,440 Na kazi kwamba kimsingi ni kuchukua thamani 443 00:25:08,440 --> 00:25:12,010 ya bidhaa, ambayo ni kimsingi rekodi ya mtu binafsi 444 00:25:12,010 --> 00:25:18,220 na inaruhusu sisi kujiondoa cheo, chanjo na lugha. 445 00:25:18,220 --> 00:25:21,640 >> Hivyo tunatoa wito kazi juu ya kila bidhaa kwamba sisi got nyuma kutoka API. 446 00:25:21,640 --> 00:25:25,397 Na kama wewe tu kuangalia kipande haki hii hapa, 447 00:25:25,397 --> 00:25:27,230 nini sisi ni kufanya ni sisi ni kujenga kamba, 448 00:25:27,230 --> 00:25:31,810 ambayo kimsingi ni baadhi ghafi HTML karibu na meza, na value.title, 449 00:25:31,810 --> 00:25:35,790 ambayo ni jina la kitu, value.coverage, 450 00:25:35,790 --> 00:25:36,790 ambayo ni chanjo, - 451 00:25:36,790 --> 00:25:38,225 >> Na sisi ni kufanya hundi hapa kuona nani kisichojulikana 452 00:25:38,225 --> 00:25:40,570 na kujificha ni kama anasema undefined, kwa sababu sisi siyo kweli nia 453 00:25:40,570 --> 00:25:41,600 katika hiyo. 454 00:25:41,600 --> 00:25:42,939 >> --and basi lugha. 455 00:25:42,939 --> 00:25:44,730 Na kisha nini tuko kufanya ni appending kwamba 456 00:25:44,730 --> 00:25:48,510 mezani kwamba ni kutambuliwa na hii kamba hapa. 457 00:25:48,510 --> 00:25:50,790 Na jinsi jQuery kazi ni nini hii ni kusema 458 00:25:50,790 --> 00:25:56,420 ni kuangalia kwa meza na wazo matokeo na kuongeza Nakala hii yake. 459 00:25:56,420 --> 00:25:59,380 Na hii ni meza na matokeo wazo. 460 00:25:59,380 --> 00:26:04,998 Hivyo nini kuishia na ni ukurasa hii hapa. 461 00:26:04,998 --> 00:26:06,206 Na ili kuona source-- 462 00:26:06,206 --> 00:26:11,310 463 00:26:11,310 --> 00:26:13,810 Naam, chanzo ni si kweli updated wakati yaliyotokea. 464 00:26:13,810 --> 00:26:18,740 Hivyo unaweza kuona halisi matokeo ya meza hapa ingawa. 465 00:26:18,740 --> 00:26:24,770 >> Hivyo hiyo ni mfano tu rahisi ya kufanya swala ya msingi sana juu ya API 466 00:26:24,770 --> 00:26:29,020 na kuonyesha habari katika baadhi ya wengine kuunda, na si kufanya kitu chochote pia dhana tu. 467 00:26:29,020 --> 00:26:36,370 Sasa, mfano mwingine ni kama maombi iliyoandikwa na David Weinberger 468 00:26:36,370 --> 00:26:39,120 kama demo ya hii, ambayo kimsingi inaonyesha 469 00:26:39,120 --> 00:26:44,620 jinsi gani unaweza mash up matokeo uko kupata kutoka maktaba wingu API 470 00:26:44,620 --> 00:26:46,250 na, kusema, vitabu Google. 471 00:26:46,250 --> 00:26:52,225 >> Na kufikiri hapa ni kwamba naweza kukimbia swala dhidi Books Google, 472 00:26:52,225 --> 00:26:56,060 kupata Nakala search kamili, kupata baadhi ya matokeo nyuma, kupata nje ambayo ya vitu hivyo 473 00:26:56,060 --> 00:27:01,180 kweli zipo katika Hollis, mfumo maktaba, 474 00:27:01,180 --> 00:27:03,200 na kisha nipe viungo nyuma vitu hivyo. 475 00:27:03,200 --> 00:27:12,730 Hivyo kama mimi kutafuta, ilikuwa giza na dhoruba usiku, mimi 476 00:27:12,730 --> 00:27:16,210 kupata nyuma rundo la matokeo kutoka Google, na kisha moja ya matokeo 477 00:27:16,210 --> 00:27:19,460 ambayo ni kasoro katika Time. 478 00:27:19,460 --> 00:27:29,330 Na hawa ni viungo vitabu ambazo zipo ndani ya mfumo wa Harvard Library. 479 00:27:29,330 --> 00:27:32,160 >> Kwa hiyo mimi nadhani uhakika hapa ni si kiasi kwamba hii inaweza au si 480 00:27:32,160 --> 00:27:34,118 kuwa njia unataka kutafuta maktaba, 481 00:27:34,118 --> 00:27:38,310 lakini ni tofauti kabisa njia ambayo ilikuwa si inapatikana na wewe 482 00:27:38,310 --> 00:27:42,884 kabla ya, kama wewe hakuwa na njia ya kufanya Nakala kamili utafutaji katika vitabu kwamba hata 483 00:27:42,884 --> 00:27:44,550 walikuwa sehemu ya mfumo wa Harvard Library. 484 00:27:44,550 --> 00:27:46,870 Hivyo sasa hii ni njia kwamba unaweza kufanya hivyo. 485 00:27:46,870 --> 00:27:51,930 Na unaweza kuonyesha yao katika chochote format unataka. 486 00:27:51,930 --> 00:27:55,990 Hivyo uhakika hapa ni, kimsingi, tuko kufungua njia mpya kwa ajili ya watu 487 00:27:55,990 --> 00:27:59,080 kufanya kazi na data. 488 00:27:59,080 --> 00:28:07,925 >> Mwingine kipande ya maktaba wingu ni kwamba inasaidia nje baadhi ya matumizi ya data 489 00:28:07,925 --> 00:28:08,800 kwamba maktaba ina. 490 00:28:08,800 --> 00:28:12,630 Hivyo kama wewe kwenda maktaba, na wewe ni kuangalia kwa vitabu, 491 00:28:12,630 --> 00:28:15,770 huna lazima kweli kuwa na wazo la, 492 00:28:15,770 --> 00:28:19,080 ajili ya vitu vyote katika mada fulani, nini 493 00:28:19,080 --> 00:28:21,200 ni watu katika jamii, kama ni 494 00:28:21,200 --> 00:28:24,890 hufafanuliwa kama Harvard au nchi au darasa lako, 495 00:28:24,890 --> 00:28:26,421 nini kuwa wao kupatikana muhimu zaidi? 496 00:28:26,421 --> 00:28:28,920 Na maktaba kweli ina tani wa habari kuhusu nini 497 00:28:28,920 --> 00:28:32,999 ni muhimu sana kwa sababu kama mengi ya watu ni kuangalia nje kitabu, 498 00:28:32,999 --> 00:28:34,040 anayewaambia kitu. 499 00:28:34,040 --> 00:28:36,498 Kuna lazima wamekuwa sababu baadhi wanataka kuangalia ni nje. 500 00:28:36,498 --> 00:28:38,270 mengi ya watu kuiweka juu ya hifadhi. 501 00:28:38,270 --> 00:28:42,520 >> Kama ni kwenye orodha ya hifadhi kwa ajili ya kura wa madarasa, anayewaambia kitu. 502 00:28:42,520 --> 00:28:45,960 Kama wanachama kitivo ni kuangalia ni nje mengi na undergraduates si, 503 00:28:45,960 --> 00:28:47,200 kwamba anaelezea mimi kitu. 504 00:28:47,200 --> 00:28:49,280 Kinyume chake, kwamba pia atakwambia kitu. 505 00:28:49,280 --> 00:28:54,680 Hivyo itakuwa kweli kuvutia kuweka habari kwamba huko nje na basi 506 00:28:54,680 --> 00:28:59,969 watu kuitumia ili kuwasaidia kupata kazi ndani ya mfumo wa maktaba. 507 00:28:59,969 --> 00:29:02,260 hasara ya hii ni kuna faragha baadhi kubwa 508 00:29:02,260 --> 00:29:07,854 wasiwasi kwa sababu moja ya malengo ya msingi ya maktaba 509 00:29:07,854 --> 00:29:10,770 ni sisi siyo kwenda kuwa kuwaambia watu nini watu wengine ni kusoma. 510 00:29:10,770 --> 00:29:17,360 Na hata kama wewe ni kusema hii kitabu alikuwa checked nje mara nne 511 00:29:17,360 --> 00:29:20,070 katika mwezi husika, ambayo inaweza kutumika 512 00:29:20,070 --> 00:29:25,252 zilizounganishwa nyuma na hasa mtu na data de-anonymizing 513 00:29:25,252 --> 00:29:26,710 na kutafuta nje ambao checked nje. 514 00:29:26,710 --> 00:29:30,792 Hivyo njia kwamba tunaweza avoid-- 515 00:29:30,792 --> 00:29:33,750 njia hiyo tunaweza kujaribu kutafuta baadhi ishara kutoka habari zote 516 00:29:33,750 --> 00:29:36,740 bila zinazokiuka wasiwasi wa faragha ya mtu yeyote 517 00:29:36,740 --> 00:29:42,150 kimsingi ni sisi kuangalia Miaka 10 ya matumizi ya data, - 518 00:29:42,150 --> 00:29:43,930 >> Hivyo ni juu ya kipindi cha muda mrefu. 519 00:29:43,930 --> 00:29:50,639 >> --and kusema, OK, hebu angalia jinsi mara nyingi kazi hii ilitumika, 520 00:29:50,639 --> 00:29:52,930 na kwa ambaye katika kipindi hiki ya muda, na kisha kimsingi 521 00:29:52,930 --> 00:29:56,300 kutoa nyuma ya simu, ambayo sisi kuwaita stack alama, ambayo kimsingi 522 00:29:56,300 --> 00:29:59,910 inawakilisha ni kiasi gani imekuwa kutumika. 523 00:29:59,910 --> 00:30:01,084 Na kwamba number-- 524 00:30:01,084 --> 00:30:03,250 mengi ya mahesabu tofauti kwenda katika idadi hiyo. 525 00:30:03,250 --> 00:30:05,150 --but ni mbaya sana metric kwamba anatoa 526 00:30:05,150 --> 00:30:11,300 wazo baadhi ya jinsi jamii wanaweza kuthamini kazi hiyo. 527 00:30:11,300 --> 00:30:16,772 >> Na hivyo aina nyingine ya hata zaidi fleshed nje maombi 528 00:30:16,772 --> 00:30:18,480 kwamba inachukua faida ya hili ni jambo 529 00:30:18,480 --> 00:30:24,000 kuitwa Stacklife, ambayo ni kweli inapatikana kwa njia ya Harvard kuu 530 00:30:24,000 --> 00:30:24,880 Library portal. 531 00:30:24,880 --> 00:30:26,700 Hivyo wewe kwenda library.harvard.edu. 532 00:30:26,700 --> 00:30:29,360 Utaona idadi ya tofauti njia ya kutafuta maktaba. 533 00:30:29,360 --> 00:30:32,300 Na mmoja wao aitwaye Stacklife. 534 00:30:32,300 --> 00:30:38,980 >> Na hii ni maombi ambayo browses maudhui ya maktaba, 535 00:30:38,980 --> 00:30:43,490 lakini ni kabisa kujengwa juu ya APIs haya. 536 00:30:43,490 --> 00:30:46,910 Hivyo hakuna mambo maalum kinachoendelea nyuma ya pazia. 537 00:30:46,910 --> 00:30:49,570 Hakuna upatikanaji wa data kwamba huna. 538 00:30:49,570 --> 00:30:54,090 Ni kwa kutumia APIs kutoa na kuvinjari tofauti kabisa 539 00:30:54,090 --> 00:30:55,480 uzoefu. 540 00:30:55,480 --> 00:30:58,570 >> Hivyo kama mimi kutafuta Alice katika Wonderland katika kesi hii, 541 00:30:58,570 --> 00:31:02,600 Mimi kupata matokeo kwamba inaonekana kama hii, ambayo ni pretty much-- 542 00:31:02,600 --> 00:31:05,430 543 00:31:05,430 --> 00:31:10,870 >> Ni sawa na yoyote search nyingine unaweza kufanya, isipokuwa katika kesi hii 544 00:31:10,870 --> 00:31:15,730 tuko cheo vitu kwa stackscore, ambayo inakupa 545 00:31:15,730 --> 00:31:19,850 wazo baadhi ya jinsi maarufu hizi vitu walikuwa ndani ya jamii. 546 00:31:19,850 --> 00:31:25,610 Na hivyo kwa uwazi, Alice katika Wonderland na Walt Disney ni maarufu sana. 547 00:31:25,610 --> 00:31:36,570 Lakini pia unaweza kuona juu nne hapa ni wale unaweza si actually-- 548 00:31:36,570 --> 00:31:39,220 >> Mambo ambayo ni sana kutumika, lakini msitende mara moja 549 00:31:39,220 --> 00:31:41,240 kuungana na Alice katika Wonderland. 550 00:31:41,240 --> 00:31:44,650 Hivyo rafiki yetu ya zamani Annotated Alice ni hapa. 551 00:31:44,650 --> 00:31:46,350 Hivyo siwezi kuangalia saa yake. 552 00:31:46,350 --> 00:31:52,010 Na sasa nini mimi nina kuangalia katika kimsingi kuweka of-- 553 00:31:52,010 --> 00:31:53,760 Naweza kuwa Annotated Alice haki hapa. 554 00:31:53,760 --> 00:31:56,700 Mimi kuwa na taarifa kuhusu hilo. 555 00:31:56,700 --> 00:32:00,230 Na mimi pia stackscore ya, katika kesi hii, 26. 556 00:32:00,230 --> 00:32:03,169 Na hii inaniambia aina ya takribani jinsi tulipata stackscore hii, 557 00:32:03,169 --> 00:32:05,835 kama ambao checked nje, kama jinsi mara nyingi ilikuwa ni checked nje, 558 00:32:05,835 --> 00:32:08,440 kama kitivo au undergrads, jinsi nakala nyingi maktaba ina, 559 00:32:08,440 --> 00:32:11,300 na kadhalika na kadhalika. 560 00:32:11,300 --> 00:32:16,460 >> Na unaweza pia, ya kuvutia ya kutosha hapa, kuvinjari mwingi karibu. 561 00:32:16,460 --> 00:32:19,550 Hivyo data hapa, hii ni kuonyesha wewe aina 562 00:32:19,550 --> 00:32:23,547 ya uwakilishi virtual ya nini rafu nguvu 563 00:32:23,547 --> 00:32:25,880 kuangalia kama kama ungekuwa na kuchukua Holdings maktaba wote 564 00:32:25,880 --> 00:32:28,940 na kuziweka pamoja juu ya moja usio rafu. 565 00:32:28,940 --> 00:32:30,990 Na jambo zuri ni kwamba sisi can-- 566 00:32:30,990 --> 00:32:33,380 >> Awali ya yote, metadata kuhusu vitabu hivi 567 00:32:33,380 --> 00:32:35,627 mara nyingi anakwambia wakati ilikuwa kuchapishwa. 568 00:32:35,627 --> 00:32:37,085 Hukueleza kurasa nyingi ina. 569 00:32:37,085 --> 00:32:38,459 Huenda kukuambia vipimo. 570 00:32:38,459 --> 00:32:42,930 Hivyo unaweza kuona hiyo yalijitokeza hapa katika suala la ukubwa wa vitabu. 571 00:32:42,930 --> 00:32:46,740 >> Na kisha tunaweza kutumia stack alama ya kuonyesha 572 00:32:46,740 --> 00:32:49,170 vitabu na alama ya juu stack. 573 00:32:49,170 --> 00:32:54,930 Hivyo kama ni nyeusi, maana yake ni kwamba, labda, ni kutumika mara nyingi zaidi. 574 00:32:54,930 --> 00:32:57,040 Hivyo katika kesi hii, mimi nina kwenda nadhani kwamba hii 575 00:32:57,040 --> 00:33:03,226 ni toleo la Alice katika Wonderland kuwa ni kawaida sana kutumika na wengi 576 00:33:03,226 --> 00:33:05,100 kupatikana, maktaba ina nakala zaidi ya. 577 00:33:05,100 --> 00:33:06,975 Hivyo kama wewe ni kuangalia kwa Alice katika Wonderland, 578 00:33:06,975 --> 00:33:10,220 hii inaweza kuwa nafasi nzuri kuanza. 579 00:33:10,220 --> 00:33:13,500 >> Na kisha hapa unaweza pia kiungo nje kwa, kusema, Amazon kununua kitabu, 580 00:33:13,500 --> 00:33:15,182 na kadhalika na kadhalika. 581 00:33:15,182 --> 00:33:17,140 uhakika hapa, tena, si sana kwamba hii 582 00:33:17,140 --> 00:33:25,030 ni njia bora ya kuvinjari maktaba au chombo cha haki kwa kila tukio. 583 00:33:25,030 --> 00:33:28,400 Lakini ni njia nyingine ya kufanya hivyo. 584 00:33:28,400 --> 00:33:31,359 Na kwa kufanya data inapatikana kwa njia ya API, ambayo 585 00:33:31,359 --> 00:33:34,650 ni alifanya ya vitalu rahisi sana kujenga, ambayo utapata kutafuta maudhui, 586 00:33:34,650 --> 00:33:39,420 unaweza kujenga kitu kama hii ambayo inaweza 587 00:33:39,420 --> 00:33:41,520 kuwa extraordinarily thamani kwa baadhi ya watu. 588 00:33:41,520 --> 00:33:46,640 589 00:33:46,640 --> 00:33:51,860 >> Hivyo hiyo ni aina ya, kama vile nataka kusema kweli kuhusu nini API ni 590 00:33:51,860 --> 00:33:56,070 na nini ni kuanika, kuna nzima rundo la mambo nyuma ya pazia, ambayo 591 00:33:56,070 --> 00:33:59,480 Mimi tu kwenda kugusa ufupi tu kwa sababu ni aina ya inakuja katika hii 592 00:33:59,480 --> 00:34:03,720 kutoka angle tofauti kabisa katika suala la jinsi gani kitu kama hii 593 00:34:03,720 --> 00:34:04,580 kupata kuweka katika nafasi? 594 00:34:04,580 --> 00:34:10,820 >> Hivyo API ni kiwango interface yote ya maudhui hii. 595 00:34:10,820 --> 00:34:13,820 Lakini kupata huko, Jambo la kwanza tulikuwa na kufanya 596 00:34:13,820 --> 00:34:17,260 mara kuvuta kwa pamoja habari ya vitabu na picha 597 00:34:17,260 --> 00:34:21,580 na misaada kutafuta, ukusanyaji waraka kutoka mifumo mbalimbali Harvard. 598 00:34:21,580 --> 00:34:23,929 Aleph, VIA, na OASIS ni majina ya mifumo. 599 00:34:23,929 --> 00:34:28,820 Na wao kimsingi kwenda katika bomba, usindikaji bomba. 600 00:34:28,820 --> 00:34:33,230 >> Hivyo kwanza ya yote, sisi kupata nje files kutoka wote wa mifumo ya haya. 601 00:34:33,230 --> 00:34:35,130 Sisi kupasuliwa yao juu katika vitu binafsi. 602 00:34:35,130 --> 00:34:39,360 Hivyo tuna file, ambayo ni gigabyte, ambayo ina milioni kumbukumbu ndani yake. 603 00:34:39,360 --> 00:34:42,290 Hivyo sisi kupasuliwa up ndani ya vitu binafsi. 604 00:34:42,290 --> 00:34:45,374 Basi, kwa kila kitu, sisi kubadili katika mods, kwa sababu baadhi ya haya 605 00:34:45,374 --> 00:34:47,040 ni mods natively, baadhi yao si. 606 00:34:47,040 --> 00:34:49,204 Hivyo sisi kupata yao yote kwa kuwa katika utaratibu huo huo. 607 00:34:49,204 --> 00:34:51,120 Kisha kuna mbalimbali hatua utajiri, ambapo 608 00:34:51,120 --> 00:34:55,969 sisi kuongeza habari zaidi na data kuliko ilikuwa inapatikana katika maktaba. 609 00:34:55,969 --> 00:34:59,750 Hivyo tunahitaji kuongeza, kwanza ya yote tuna nini maktaba kushikilia yake. 610 00:34:59,750 --> 00:35:02,250 Sisi kwenda kwa njia ya hatua ya kuhesabu stackscore. 611 00:35:02,250 --> 00:35:07,112 Sisi kwenda kwa njia ya hatua nyingine ya kuongeza metadata zaidi katika suala 612 00:35:07,112 --> 00:35:10,730 ya nini makusanyo watu anaweza kuwa aliongeza this-- 613 00:35:10,730 --> 00:35:12,532 >> Watu ni kujenga makusanyo ya vitu. 614 00:35:12,532 --> 00:35:13,990 Nini makusanyo gani ni ya? 615 00:35:13,990 --> 00:35:17,220 Jinsi ya kuwa na watu tagged maudhui hii katika siku za nyuma? 616 00:35:17,220 --> 00:35:20,750 Basi kuchuja nje, na kuzuia kumbukumbu kwa sababu, kama nilivyoeleza, 617 00:35:20,750 --> 00:35:24,120 kuna baadhi ya kumbukumbu kwamba, kwa sababu ya sababu hati miliki, hatuwezi kuonyesha. 618 00:35:24,120 --> 00:35:26,700 Na kisha sisi shehena yao katika kitu kinachoitwa 619 00:35:26,700 --> 00:35:31,680 Solr, ambayo si misspelling, lakini ni jina la kipande cha programu 620 00:35:31,680 --> 00:35:35,710 kwamba hana search Indexing, ambayo anatoa wote search nyuma API. 621 00:35:35,710 --> 00:35:40,110 Na kisha inakuwa inapatikana kwa API, na watu wanaweza kuitumia. 622 00:35:40,110 --> 00:35:44,640 >> Hivyo hii ni kama haki moja kwa moja mchakato. 623 00:35:44,640 --> 00:35:47,230 Moja ya kuvutia mambo kuhusu ni 624 00:35:47,230 --> 00:35:50,990 kwamba sisi ni kushughulika na rekodi milioni 13 625 00:35:50,990 --> 00:35:53,820 na sisi ni kwenda kuwa kushughulika au zaidi. 626 00:35:53,820 --> 00:36:01,260 Na tunataka kuwa na uwezo wa kushughulikia hizi katika mtindo kiasi haraka. 627 00:36:01,260 --> 00:36:03,630 Inachukua muda mrefu kwa mchakato rekodi milioni 13. 628 00:36:03,630 --> 00:36:09,529 >> Hivyo ni jinsi bomba hilo ni kuanzisha ni kwamba can-- 629 00:36:09,529 --> 00:36:12,070 Nadhani faida ya bomba, tatizo kwamba tuko 630 00:36:12,070 --> 00:36:15,580 kujaribu kutatua hapa, ni kwamba mabadiliko yote, kila 631 00:36:15,580 --> 00:36:18,729 hatua hizi katika hii bomba ni ungulika. 632 00:36:18,729 --> 00:36:19,645 Hakuna utegemezi. 633 00:36:19,645 --> 00:36:22,146 Kama wewe ni usindikaji rekodi ya kitabu kimoja, 634 00:36:22,146 --> 00:36:24,270 hakuna utegemezi katika kwamba kati ya kitabu kingine. 635 00:36:24,270 --> 00:36:27,760 >> Hivyo nini tunaweza kufanya ni kimsingi, katika kila hatua katika bomba, 636 00:36:27,760 --> 00:36:30,470 sisi kuiweka katika foleni katika wingu. 637 00:36:30,470 --> 00:36:32,250 Mimi kilichotokea kwa kuwa juu ya Amazon Huduma za mtandao. 638 00:36:32,250 --> 00:36:35,140 Hivyo kuna orodha ya, kusema, vitu 10,000 kwamba 639 00:36:35,140 --> 00:36:38,100 haja ya kuwa normalized na waongofu na mods format. 640 00:36:38,100 --> 00:36:41,620 Na sisi spin up servrar kama wengi kama tunataka, labda 10 servrar. 641 00:36:41,620 --> 00:36:44,860 Na kila moja ya servrar wale tu anakaa pale, inaonekana katika foleni hiyo, 642 00:36:44,860 --> 00:36:46,730 anaona kwamba kuna moja kwamba mahitaji ya kuwa processed, pulls ni mbali foleni, 643 00:36:46,730 --> 00:36:48,740 michakato yake, na vijiti ni katika foleni ya pili. 644 00:36:48,740 --> 00:36:54,200 >> Na hivyo kile ambayo inaruhusu sisi kufanya ni kuomba, kimsingi, 645 00:36:54,200 --> 00:36:58,110 kama vifaa vile tunataka hii tatizo kwa muda mfupi sana wa muda 646 00:36:58,110 --> 00:37:02,970 mchakato wa data kwa haraka kama inawezekana, ambayo ni kitu ambacho tu, 647 00:37:02,970 --> 00:37:08,220 sasa katika ulimwengu wa kompyuta wingu tunaweza utoaji servrar kimsingi 648 00:37:08,220 --> 00:37:09,890 mara moja, ni kwamba muhimu. 649 00:37:09,890 --> 00:37:12,260 Hivyo hatuna kuwa na kubwa server wamekaa kuzunguka 650 00:37:12,260 --> 00:37:16,700 muda wote kufanya usindikaji ambayo yanaweza kutokea mara moja tu kwa wiki. 651 00:37:16,700 --> 00:37:21,440 >> Hivyo kwamba ni wengi. 652 00:37:21,440 --> 00:37:27,590 Kuna nyaraka inapatikana kwa Library Cloud Item API 653 00:37:27,590 --> 00:37:31,960 katika URL hii, ambayo itakuwa kuwa inapatikana baadaye. 654 00:37:31,960 --> 00:37:36,730 Na tafadhali kwenda kuangalia ni kuona kama kuna kitu chochote, 655 00:37:36,730 --> 00:37:37,579 una mawazo yoyote. 656 00:37:37,579 --> 00:37:38,120 Kucheza na hayo. 657 00:37:38,120 --> 00:37:38,830 Matani. 658 00:37:38,830 --> 00:37:42,800 Na hopefully unaweza kuja na kitu kubwa. 659 00:37:42,800 --> 00:37:44,740 Asante. 660 00:37:44,740 --> 00:37:45,899