JAGORAN kamfanoni

Tubalin bayanai

Databricks wani dandali ne na bayanai da AI wanda ke haɓaka injiniyan bayanai, nazari, da koyon injin akan tushe ɗaya 'lakehouse'.

Dubawa

Databricks wani dandali ne na bayanai da AI wanda ke haɓaka injiniyan bayanai, nazari, da koyon injin akan tushe ɗaya 'lakehouse'. Yana da mahimmanci saboda yana bawa kamfanoni damar sarrafa manyan bayanan bayanai kuma su gina AI kai tsaye inda bayanan su ke rayuwa.

An fi fahintar tubalin bayanai a cikin mahallin dabarun, samun damar ƙira, yanke shawara, da haɗin gwiwar tsarin muhalli.

Zurfafa nutsewa

An kafa Databrick a cikin 2013 ta ainihin masu ƙirƙirar Apache Spark, gami da Ali Ghodsi da Matei Zaharia, daga AMPLab na UC Berkeley. Tunanin sa hannun sa shine 'Lakehouse'-haɗa arha, mai sassauƙa ma'ajiyar tafkin bayanai tare da amintacce da aikin ma'ajiyar bayanai, wanda buɗaɗɗen tsarin tebur Lake Lake ke aiki. A saman yana zaune Catalog na Unity don mulki, MLflow don bin diddigin gwaji, da Databrick Runtime wanda aka gina akan Spark. A cikin 2023 Databricks ya sami MosaicML kuma daga baya ya fito da DBRX, babban samfurin yare mai buɗewa, yana nuna alamar mahimmanci ga haɓaka AI. Dandali yanzu yana tallata 'Dandalin Intelligence Platform' don ginawa da hidimar wakilan AI akan bayanan kasuwanci.

Fahimtar Fasaha

A ainihin sa, Databricks yana gudanar da lissafin rarraba akan Apache Spark, yana raba manyan ayyuka a cikin gungu na inji. Kogin Delta yana ƙara ma'amalar ACID da ma'amalar ma'amala a saman ma'ajiyar abu mai arha, don haka tafkunan bayanai suna aiki da dogaro kamar bayanan bayanai. MLflow yana daidaita tsarin rayuwar ML - gudanar da bin diddigi, ƙirar marufi, da sarrafa turawa. Don haɓaka AI, kayan aikin Mosaic AI suna ɗaukar daidaitawa mai kyau, binciken vector, da sabis na ƙirar ƙira, barin kamfanoni su gina mataimakan da aka haɓaka kai tsaye akan bayanan da ake gudanarwa.

Mastering Data tubalin

Databricks wani dandali ne na bayanai da AI wanda ke haɓaka injiniyan bayanai, nazari, da koyon injin akan tushe ɗaya 'lakehouse'. Yana da mahimmanci saboda yana bawa kamfanoni damar sarrafa manyan bayanan bayanai kuma su gina AI kai tsaye inda bayanan su ke rayuwa. An fi fahintar tubalin bayanai a cikin mahallin dabarun, samun damar ƙira, yanke shawara, da haɗin gwiwar tsarin muhalli. Don gina zurfin fahimta, bi Databricks a matsayin samfurin aiki, ba fasali ɗaya ba: ayyana sakamakon da ake so, fayyace zato, da raba abin da tsarin zai iya yi da dogaro daga abin da har yanzu ke buƙatar yanke hukunci na ƙwararru.

A aikace, ƙungiyoyi masu ƙarfi masu amfani da Databricks suna kimanta dabarun mai siyarwa, amincin taswirar hanya, da haɗarin kulle-kulle kafin aikatawa. Suna rubuta ƙayyadaddun ƙa'idodin nasara, gwaji akan bayanan gaskiya da gudanawar aiki, da jujjuyawar bisa ga tsarin gazawar da aka lura maimakon cin nasara na lokaci ɗaya. Wannan shine inda fahimtar ka'idar ta juya zuwa iyawa mai dorewa a cikin samfura, manufofi, da ayyuka.

Taswirorin hanyoyin tallace-tallace suna yin tasiri ga abubuwan da ƙungiyar ku za ta iya ginawa na gaba. A lokaci guda, sanarwar ƙaddamarwa na iya wuce kwanciyar hankali a cikin ayyukan samarwa na gaske. Hanyar da ta fi dacewa ita ce haɗa saurin gwaji tare da horon gudanarwa: gudanar da matukin jirgi, kama shaida, buga rajistan ayyukan yanke shawara, da ci gaba da sabunta abubuwan tsaro kamar yadda halayen ƙira, tsammanin mai amfani, da buƙatun tsari ke tasowa.

Dabarun Tasiri

Taswirorin hanyoyin tallace-tallace suna yin tasiri ga abubuwan da ƙungiyar ku za ta iya ginawa na gaba.

Taswirorin hanyoyin tallace-tallace suna yin tasiri ga abubuwan da ƙungiyar ku za ta iya ginawa na gaba. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.

Sharuɗɗan kasuwanci da zaɓuɓɓukan turawa suna shafar farashi na dogon lokaci da haɗari.

Sharuɗɗan kasuwanci da zaɓuɓɓukan turawa suna shafar farashi na dogon lokaci da haɗari. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.

Ƙwararrun kamfani suna siffanta ɓangarorin samfur, yanayin aminci, da buɗewa.

Ƙwararrun kamfani suna siffanta ɓangarorin samfur, yanayin aminci, da buɗewa. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.

Makomar Databrick

Databrick yana tsere don zama wurin da kamfanoni ke gina AI akan bayanan nasu, suna fafatawa da Snowflake da gizagizai. Yi tsammanin saka hannun jari mai nauyi a cikin wakilan AI, dawo da mulki, da kayan aikin da ke barin waɗanda ba ƙwararru ba su nemi bayanan tambaya a cikin yare na halitta. Fare-faren budaddiyar sa (Lake Delta, MLflow, DBRX) yana da niyya don kulle tunani yayin yin kuɗi da hidima da mulki. Tare da babban kima mai zaman kansa na sama da tsayayyen hasashe na IPO, Databrick yana sanya gidan lake a matsayin tsoho don haɓakar kasuwancin AI.

Aiwatar da Gaskiyar Duniya

Dillali yana gudanar da ayyukan Spark na dare akan Databricks don aiwatar da biliyoyin bayanan tallace-tallace a cikin tebur mai tsabta don tsinkaya.

Ƙungiyar kimiyyar bayanai tana amfani da MLflow akan Databricks don bin diddigin gwaje-gwaje da tura samfurin tsinkaya.

Wani banki yana gina hanyar sadarwa ta gwamnati tare da binciken Mosaic AI vector wanda ke amsa tambayoyi kan takaddun manufofin cikin gida.

Ƙungiya mai ƙididdiga tana amfani da tafkin Delta don ba da tabkin bayanai mara kyau abin dogaro, tebur na ma'amala don dashboards BI.

Hanyoyin Aiwatarwa

Databricks a aikace

Dillali yana gudanar da ayyukan Spark na dare akan Databricks don aiwatar da biliyoyin bayanan tallace-tallace a cikin tebur mai tsabta don tsinkaya.

Dillali yana gudanar da ayyukan Spark na dare akan Databricks don aiwatar da biliyoyin bayanan tallace-tallace a cikin tebur mai tsabta don Ƙungiyoyin tsinkaya yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ƙofofin inganci a gaba, kiyaye hanyar haɓaka ɗan adam don ƙararraki, da bin diddigin nasarorin samarwa da tsadar kurakurai akan lokaci.

Databricks a aikace

Ƙungiyar kimiyyar bayanai tana amfani da MLflow akan Databricks don bin diddigin gwaje-gwaje da tura samfurin tsinkaya.

Ƙungiyar kimiyyar bayanai tana amfani da MLflow akan Databrick don bin diddigin gwaje-gwaje da tura ƙirar ƙira-ƙira Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da bin duk nasarorin samarwa da farashi na kuskure akan lokaci.

Databricks a aikace

Wani banki yana gina hanyar sadarwa ta gwamnati tare da binciken Mosaic AI vector wanda ke amsa tambayoyi kan takaddun manufofin cikin gida.

Banki yana gina hanyar sadarwa ta hanyar sadarwa tare da binciken Mosaic AI vector wanda ke amsa tambayoyi kan takaddun manufofin cikin gida Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ƙofofin inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'i, da bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.

Databricks a aikace

Ƙungiya mai ƙididdiga tana amfani da tafkin Delta don ba da tabkin bayanai mara kyau abin dogaro, tebur na ma'amala don dashboards BI.

Ƙungiya mai ƙididdigewa tana amfani da tafkin Delta don ba da tafkin bayanan da ba daidai ba, tebur na ma'amala don dashboards na BI Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'i, da kuma bin duk nasarorin da ake samu da farashi na kuskure akan lokaci.

Hatsari & Tsare-tsare

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Sanarwar ƙaddamarwa na iya ƙetare kwanciyar hankali a cikin ayyukan samarwa na gaske.

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Farashin API ko sauye-sauyen manufofi na iya karya zato cikin dare.

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Dogaro mai siyarwa guda ɗaya yana ƙara kulle-kulle da farashin ƙaura.

Taswirar Hanya

1

Kimanta masu samarwa ta amfani da ayyukan ku da saitin bayanai.

Kimanta masu samarwa ta amfani da ayyukan ku da saitin bayanai. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

2

Yi bitar sirri, tsaro, da sharuɗɗan doka kafin haɗin kai.

Yi bitar sirri, tsaro, da sharuɗɗan doka kafin haɗin kai. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

3

Kula da tsarin koma baya a cikin samfura ko masu siyarwa.

Kula da tsarin koma baya a cikin samfura ko masu siyarwa. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

4

Saka idanu bayanin kula don haka canje-canjen taswirar hanya kada suyi mamakin ƙungiyoyi.

Saka idanu bayanin kula don haka canje-canjen taswirar hanya kada suyi mamakin ƙungiyoyi. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

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