UMHLAHLANDLELA Wezinkampani

Databricks

I-Databricks iyinkundla yedatha ne-AI ehlanganisa ubunjiniyela bedatha, izibalo, nokufunda komshini kusisekelo esisodwa 'se-lakehouse'.

2 amaminithi ukufundaIgcine ukubuyekezwa

Uhlolojikelele

It matters because it lets companies manage huge datasets and build AI directly where their data already lives.

I-Deep Dive

I-Databricks yasungulwa ngo-2013 ngabadali bokuqala be-Apache Spark, okuhlanganisa u-Ali Ghodsi no-Matei Zaharia, abaphuma ku-AMPLab ye-UC Berkeley. Umbono wayo wesiginesha 'i-lakehouse'—okuhlanganisa indawo yokugcina eshibhile, evumelana nezimo yechibi ledatha nokuthembeka nokusebenza kwendawo yokugcina idatha, enikwe amandla ifomethi yethebula le-Delta Lake evulekile. Phezulu kuhlezi i-Unity Catalogue yokuphatha, i-MLflow yokulandelela ukuhlolwa, kanye ne-Databricks Runtime eyakhelwe ku-Spark. Ngo-2023 i-Databricks yathola i-MosaicML futhi kamuva yakhipha i-DBRX, imodeli yolimi enkulu evulekile, ebonisa i-pivot eqinile ebheke ekukhiqizeni i-AI. Inkundla manje imaketha 'I-Data Intelligence Platform' yokwakha nokuphakela ama-agent e-AI kudatha yebhizinisi.

I-Technical Insight

Emgogodleni wayo, i-Databricks isebenzisa ikhompuyutha esabalalisiwe ku-Apache Spark, ihlukanisa imisebenzi emikhulu phakathi kwamaqoqo emishini. I-Delta Lake yengeza okwenziwayo kwe-ACID kanye nelogi yokwenziwayo phezu kwendawo yokugcina izinto eshibhile, ukuze amachibi edatha aziphathe ngendlela ethembekile njengemininingwane yolwazi. I-MLflow ilinganisa umjikelezo wempilo we-ML—imigijimo yokulandelela, amamodeli okupakisha, nokuphatha ukusetshenziswa. Ku-AI ekhiqizayo, amathuluzi e-Mosaic AI aphatha ukulungisa kahle, ukusesha ivekhtha, nokunikeza amamodeli, okuvumela izinkampani ukuthi zakhe abasizi ababuyiswayo abathuthukisiwe ngokuqondile ngokumelene nedatha ebusayo.

I-Strategic Impact

Isu lomthengisi

Imephu yemigwaqo yabathengisi ithonya ukuthi yiziphi izici iqembu lakho elingazakha ngokulandelayo.

Izindleko kanye nesabelomali

Imigomo yezohwebo nezinketho zokuthunyelwa zithinta izindleko zesikhathi eside nobungozi.

Ingozi nokuphepha

Izinxephezelo zenkampani zibumba okuzenzakalelayo komkhiqizo, ukuma kokuphepha, nokuvuleleka.

Ikusasa LeDathabricks

I-Databricks igijima ukuze ibe indawo amabhizinisi akha i-AI kudatha yawo siqu, eqhudelana ne-Snowflake kanye neziqhwaga zamafu. Lindela ukutshalwa kwezimali okukhulu kubasebenzeli be-AI, ukubuyiswa okubusayo, namathuluzi avumela abangebona ochwepheshe babuze idatha ngolimi lwemvelo. Ukubheja kwayo komthombo ovulekile (i-Delta Lake, i-MLflow, i-DBRX) ihlose ukuvala i-mindshare ngenkathi yenza imali ngokusebenza nokubusa. Ngokulinganisa okuyimfihlo okuphezulu esibhakabhakeni kanye nokuqagela kwe-IPO okuzinzile, i-Databricks ibeka i-lakehouse njengendawo ezenzakalelayo engaphansi ye-AI ekhiqizayo yebhizinisi.

Ukuqaliswa Komhlaba Wangempela

Umthengisi wenza imisebenzi yasebusuku ye-Spark ku-Databricks ukuze acubungule izigidigidi zamarekhodi okuthengisa abe amathebula ahlanzekile ukuze abikezele.

Ithimba lesayensi yedatha lisebenzisa i-MLflow ku-Databricks ukuze lilandelele izivivinyo futhi likhiphe imodeli yokubikezela kwe-churn.

Ibhange lakha i-chatbot elawulwayo ngosesho lwevekhtha ye-Mosaic AI ephendula imibuzo ngemibhalo yenqubomgomo yangaphakathi.

Iqembu lezibalo lisebenzisa i-Delta Lake ukuze linikeze idatha engcolile amathebula athembekile, ohwebo kumadeshibhodi e-BI.

Izingozi & Guardrails

Izimemezelo zokwethula zingase zeqe ukuzinza ekugelezeni komsebenzi wangempela wokukhiqiza.

Izintengo ze-API noma izinguquko zenqubomgomo zingaphula ukucabanga ngobusuku obubodwa.

Ukuncika komthengisi oyedwa kukhulisa izindleko zokukhiya nokufuduka.

Ukuqalisa Umhlahlandlela

1

Linganisa abahlinzeki usebenzisa eyakho imisebenzi namasethi edatha.

2

Buyekeza ubumfihlo, ukuphepha, nemibandela yomthetho ngaphambi kokuhlanganiswa.

3

Gcina uhlelo lokubuyela emuva kuwo wonke amamodeli noma abathengisi.

4

Gada amanothi okukhululwa ukuze izinguquko zemephu yomgwaqo zingamangazi amaqembu.

Qhubeka Uhlole

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Imibuzo evame ukubuzwa

What is Databricks?

I-Databricks iyinkundla yedatha ne-AI ehlanganisa ubunjiniyela bedatha, izibalo, nokufunda komshini kusisekelo esisodwa 'se-lakehouse'. Kubalulekile ngoba ivumela izinkampani ukuthi zilawule amasethi edatha amakhulu futhi zakhe i-AI ngqo lapho idatha yazo isivele ihlala khona.

I-Databricks yasungulwa abadali bokuqala bayiphi iphrojekthi yomthombo ovulekile?

I-Databricks yaqalwa ngo-2013 ngabadali be-Apache Spark abavela ku-UC Berkeley's AMPLab.

Ihlanganisani i-architecture 'yakehouse'?

I-lakehouse ihlanganisa isitoreji sechibi esivumelana nezimo, esishibhile nokuthembeka kwebanga le-warehouse kanye nesivinini.

Iyiphi ifomethi yethebula evulekile enikeza iDathabricks idatha yamachibi ukuthengiselana kwe-ACID?

I-Delta Lake yengeza ilogu yokwenziwayo kanye neziqinisekiso ze-ACID phezu kwesitoreji sento eshibhile.

Isetshenziselwa ini i-MLflow kuma-Databricks?

I-MLflow ilinganisa ukugijima kokulandela ngomkhondo, amamodeli okupakisha, nokuphatha ukusetshenziswa.

Iyiphi imodeli yokutholwa nevulekile esayine i-pivot ye-Databricks ibheke ku-AI ekhiqizayo?

I-Databricks ithole i-MosaicML ngo-2023 futhi yakhulula imodeli evulekile ye-DBRX, okumaka ukuphusha kwayo kokukhiqiza kwe-AI.