Ngenxa yokubaluleka okukhulayo kokuhlalutywa kwedatha kunye nokulawulwa kwedatha kumashishini, ukuthelekiswa kwamaqonga edatha i-Snowflake kunye neDatabricks iyimfuneko kwimarike yanamhlanje.
Imibutho idinga indlela yokuqokelela yonke idatha eyidingayo ukuze ivavanye kwindawo enye apho inokulungela ukumbiwa kwedatha njengoko isixa sedatha ekufuneka ifundwe sikhula ngokuthe ngcembe.
Ngaphandle kwamathandabuzo, iinkqubo ezidumileyo zedatha esekwe kwilifu le-Snowflake kunye neDathabricks zombini ziinkokeli zeshishini. Leliphi iqonga ledatha, nangona kunjalo, lilungele inkampani yakho?
Ubungakanani, isantya, kunye nomgangatho ofunwa yizicelo zobuntlola beshishini zonke zibonelelwa yi-Snowflake kunye neDatabricks.
Ngelixa kukho ukungafani, kukwakho ukuhambelana okuninzi. Zinendlela eyahlukileyo yokuqhelaniswa nayo, ethi ibonakale xa ijongiwe.
Abaseki beApache Spark baseka ishishini lesoftware yeDathabricks.
Idume ngokudibanisa eyona miba mikhulu yedatha yamachibi kunye iindawo zokugcina idatha kwi-architecture ye-lakehouse.
Ishishini lokugcinwa kwedatha i-Snowflake inikezela ngogcino olusekwe kwilifu kunye neenkonzo zofikelelo ezinobunzima obuncinci. Iseka ukuma kwayo njengesisombululo esinika ukufikelela ngokukhuselekileyo kwidatha yakho ngelixa ifuna ukugcinwa okuncinci.
Eli nqaku likunika uthelekiso oluneenkcukacha lwe-Snowflake Vs. Databricks kwaye ichaza izibonelelo zemveliso nganye ukuze ukwazi ukwenza isigqibo sokuba yeyiphi eyona ilungileyo kwishishini lakho. Masiqale ngentshayelelo yabo.
Yintoni i Snowflake?
I-Snowflake yinkonzo elawulwa ngokupheleleyo enikezela abathengi phantse ukulinganisa okungapheliyo komthwalo ohambelanayo wokudibanisa idatha elula, ukulayisha, uhlalutyo kunye nokwabelana.
Amachibi eDatha, ubuNjineli beDatha, uPhuhliso lweSicelo seDatha, iSayensi yeDatha, kunye nokusetyenziswa ngokukhuselekileyo kwedatha ekwabelwana ngayo ezinye zeendlela eziqhelekileyo zokusetyenziswa.
Ikhompuyutha kunye nogcino zahlulwe ngokwendalo luyilo olwahlukileyo lwe-Snowflake.
Ngoncedo lolwakhiwo, unokubonelela bonke abasebenzisi bakho kunye nomsebenzi wedatha ukufikelela kwikopi enye yedatha yakho ngaphandle kokufumana imiphumo emibi yokusebenza.
Ukufumana amava omsebenzisi angaguqukiyo, i-Snowflake ikuvumela ukuba usebenzise isisombululo sakho sedatha ngokungabonakaliyo kwiindawo ezahlukeneyo kunye namafu.
Ngokususa ubunzima beziseko ze-Cloud ezisisiseko, i-Snowflake yenza ukuba ibe nokwenzeka.
I-Snowflake Data Marketplace, enikezela ngeendlela ezininzi zokusebenzisana kunye namawakawaka abathengi be-Snowflake, kwakhona ikuvumela ukuba ufikelele kwiidatha ekwabelwana ngazo kunye neenkonzo zedatha.
Iimbonakalo
- Ukwenziwa kwezigqibo okusebenzayo okuqhutywa yidatha: Nge-Snowflake, unokuphelisa i-silos yedatha kwaye unikeze wonke umntu kwishishini ukufikelela kwiimbono eziluncedo. Eli linyathelo lokuqala elibalulekileyo ekwandiseni ubudlelwane bamahlakani, ukunyusa amaxabiso, ukucutha iindleko ezinxulumene nokusebenza, ukwandisa impumelelo yokuthengisa, kunye nezinye izinto ezininzi.
- Ukuphucula i-Analytics Speed kunye noMgangatho: Unokomeleza umbhobho wakho wokuhlalutya nge-Snowflake ngokutshintsha ukusuka kwimithwalo yebhetshi yasebusuku ukuya kwimithombo yedatha yexesha langempela. Ngokuvumela wonke umntu okwishishini lakho ukuba akhuseleke, ngaxeshanye, kwaye alawule ukufikelela kwindawo yokugcina idatha, unokuphucula umgangatho wohlalutyo emsebenzini. Oku kunciphisa iindleko kunye nomsebenzi wezandla, okwenza ukuba iifemu zisasaze izibonelelo ngokugqibeleleyo ukuze kwandiswe ingeniso.
- Utshintshiselwano lwedatha kunye nokwenza ngokwezifiso: Unokwenza utshintshiselwano lwedatha yakho kunye ne-Snowflake, ekuvumela ukuba uthumele idatha ephilayo, elawulwayo ngendlela ekhuselekileyo. Ukongeza, isebenza njengenkuthazo yokuphuhlisa unxibelelwano olunamandla lwedatha kunye namaqabane, abathengi, kunye nezinye iiyunithi zoshishino. Ifezekisa oku ngokufumana umbono we-360-degree yomthengi wakho, enika ulwazi malunga neempawu ezibalulekileyo zabathengi kubandakanya umdla, umsebenzi, kunye nokunye okuninzi.
- uMveliso oMkhulu kunye namava oMsebenzisi: Uyakwazi ukuqonda ukuziphatha komsebenzisi kunye nokusetyenziswa kwemveliso ngcono nge-Snowflake endaweni. Ukongeza, unokusebenzisa yonke idatha eseti ukwanelisa abathengi, uphucule kakhulu umgca wemveliso yakho, kwaye ukhuthaze ukuqanjwa kwesayensi yedatha.
- Ukhuseleko oluqinileyo: Yonke idatha yokuthotyelwa kunye ne-cybersecurity ingafakwa kwindawo ephakathi kwichibi ledatha ekhuselekileyo. Ukusabela ngokukhawuleza kwesiganeko kuqinisekiswa ngamachibi edatha ye-snowflake. Ukudibanisa izixa ezikhulu zedatha yelog kwindawo enye kunye nokuvavanya ngokukhawuleza iminyaka yedatha yelog, ikuvumela ukuba ufumane umfanekiso opheleleyo wesehlo. Iilogi ezilungelelanisiweyo kunye nedatha yeshishini ehleliweyo ngoku inokudityaniswa kwichibi ledatha enye. Ngaphandle kwesalathiso, i-Snowflake ikuvumela ukuba ufumane unyawo lwakho emnyango ngelixa usenza kube lula ukuhlela kunye nokutshintsha idatha xa sele ingenisiwe.
Yintoni i Izitena zedatha?
I-Databricks yi-platform yedatha esekwe kwifu eqhutywa yi-Apache Spark. Igxile kuHlahlo lweDatha enkulu kunye neNtsebenziswano ikakhulu.
Unokubonelela ngendawo yokusebenza epheleleyo yeNzululwazi yeDatha Abahlalutyi bamashishini, IiNzululwazi zeDatha, kunye neeNjineli zeDatha ukusebenzisana zisebenzisa iDatabricks' Machine Learning Runtime, i-ML Flow elawulwayo, kunye neeNcwadi zamanqaku ezisebenzisanayo.
I-dataframes kunye neelayibrari ze-Spark SQL, ezikuvumela ukuba ujongane nedatha ehleliweyo, zigcinwe kwi-Databricks.
Ukongeza ekuncedeni ukudala Kukubhadla okungeyonyani Izisombululo, I-Databricks yenza kube lula ukwenza izigqibo kwidatha yakho yangoku.
Ukongeza, iDatabricks ibonelela ngeendidi zamathala eencwadi yokufunda umatshini, kubandakanywa i-Tensorflow, i-Pytorch, kunye nabanye, ukwakha kunye nokuqeqeshwa kweemodeli zokufunda koomatshini.
Uluhlu olubanzi lwabathengi beshishini basebenzisa iDatabricks ukwenza iinkqubo ezinkulu zemveliso kuzo zonke iindidi ezininzi zeendlela zokusetyenziswa kunye namacandelo, kubandakanya ukhathalelo lwempilo, iMedia kunye noLonwabo, iiNkonzo zezeMali, ukuthengisa, nokunye okuninzi.
Iimbonakalo
- Delta Lake: Izitena zedatha inomaleko wotshintshiselwano wogcino mthombo ovulekileyo kwaye uyilelwe ukuba usetyenziswe kuwo wonke umjikelo wobomi bedatha. Lo maleko ingasetyenziselwa ukubonelela scalability data kunye nokuthembeka echibini data yakho yangoku.
- Iincwadana zamanqaku eziSebenzayo: Unokufikelela ngokukhawuleza kwidatha yakho, uyihlalutye, wakhe imifuziselo nabanye, kwaye wabelane ngemibono emitsha, eluncedo xa unezixhobo ezifanelekileyo kunye nolwimi. I-Scala, i-R, i-SQL, kunye ne-Python zimbalwa nje zeelwimi ezixhaswa yi-Databricks.
- U kufunda: Ngoncedo lwezakhelo zokusika ezinje ngeTensorflow, iScikit-Learn, kunye nePytorch, iDatabricks ikunika ukufikelela ngocofa-kanye kwiindawo zokuFunda zoomatshini ezilungiselelwe kwangaphambili. Ungabelana kwaye ubeke iliso kwimifuniselo, ulawule imifuziselo kunye, kwaye uphinde uphinde usebenze zonke ukusuka kwindawo enye yokugcina.
- Injini yeSpark ephuculweyo: Ungafumana ezona nguqulelo zamva nje zeApache Spark usebenzisa iDatabricks. Iilayibrari ezahlukeneyo ezinomthombo ovulekileyo zinokudityaniswa ngaphandle komthungo kunye neDatabricks. Ungakhawuleza ukuseta amaqela kwaye wenze indawo elawulwa ngokupheleleyo ye-Apache Spark ukuba unokufikelela kubukho kunye nokulinganisa kwababoneleli benkonzo bamafu amaninzi. Amaqela anokuthi aqwalaselwe, amiswe, kwaye alungelelaniswe kakuhle kunye neDathabricks ngaphandle kwesidingo sokubeka iliso okuqhubekayo ukugcina ukusebenza kakuhle kunye nokuthembeka.
Umahluko ongundoqo phakathi kweflake lekhephu kunye neDatabricks
Architecture
I-Snowflake yinkqubo ye-ANSI SQL-based serverless kunye nokugcinwa okwahluke ngokupheleleyo kwaye ibala iileya zokusetyenzwa.
Uvimba ngamnye onenyani (okt, compute cluster) kwiSnowflake igcina iseti yedatha iyonke ekuhlaleni ngelixa isebenzisa massively parallel processing (MPP) ukwenza imibuzo.
Ukulungelelaniswa kwedatha yangaphakathi kunye nokulungiswa kwifomathi ecinezelweyo yekholomu enokugcinwa efini, i-Snowflake isebenzisa izahlulo ezincinci.
Inyaniso yokuba i-Snowflake igcina yonke imiba yolawulo lwedatha, kubandakanywa ubungakanani befayile, ukunyanzeliswa, isakhiwo, i-metadata, izibalo, kunye nezinye izinto zedatha ezingabonakali ngokukhawuleza kubasebenzisi kwaye zinokufumaneka kuphela ngemibuzo ye-SQL, yenza konke oku ukuba kwenziwe. ngokuzenzekelayo.
Iindawo zokugcina iimpahla ezibonakalayo, ezingamaqela ahlanganisiweyo enziwe ziinodi ezininzi ze-MPP, zisetyenziselwa ukwenza konke ukusetyenzwa ngaphakathi kwe-Snowflake.
I-Snowflake kunye neDatabricks zombini izisombululo ze-SaaS, nangona kunjalo, i-Databricks'architecture yahluke kakhulu kuba yakhiwe kwi-Spark.
Injini yeelwimi ezininzi ebizwa ngokuba yi-Spark inokufakwa efini kwaye isekwe kwindawo enye okanye amaqela. Izitena zedatha ngoku zisebenzisa i-AWS, i-GCP, kunye ne-Azure, njenge-Snowflake.
Inqwelomoya yokulawula kunye nedatha yedatha yenza isakhiwo sayo. Yonke idatha ecwangcisiweyo iqulethwe kwindiza yedatha, ngelixa zonke iinkonzo zasemva ezilawulwa yi-Databricks Serverless computing zifumaneka kwinqwelomoya yokulawula.
I-Serverless computing yenza abalawuli benze ii-endpoints ze-SQL ezingenaseva ezilawulwa ngokupheleleyo yi-Databricks kwaye zinikeze i-computing yangoko.
Ngelixa izixhobo zokubala zobuninzi bezinye izibalo zeDatabricks zabelwana ngaphakathi kwi-akhawunti yefu okanye indiza yedatha yemveli, ezi zixhobo zabelwana ngazo kwi-Serverless data plane.
Uyilo lweDatabricks lwenziwe ngamacandelo abalulekileyo:
- Databricks Delta Lake
- Databricks Delta Injini
- MLFlow
Ulwakhiwo lweDatha
Zomibini iifayile eziqingqiweyo kunye nezicwangcisiweyo zingagcinwa kwaye zilayishwe ngokusebenzisa i-Snowflake ngaphandle kwesidingo sesixhobo se-ETL sokuqala ukulungiselela idatha ngaphambi kokuyingenisa kwi-EDW.
I-Snowflake iguqulela ngokukhawuleza idatha kwifomathi yayo yangaphakathi, ehleliweyo xa idatha ingenisiwe. Ngokwahlukileyo kwiLake yeDatha, i-Snowflake ayifuni ukuba unikeze isakhiwo kwidatha yakho engacwangciswanga ngaphambi kokuba ulayishe kwaye usebenzisane nayo.
Iindidi zedatha zingasetyenziswa zonke kunye neDatabricks kwifomathi yazo yangaphambili. Ukunika ulwakhiwo lwedatha yakho olungacwangciswanga ukuze lusetyenziswe zezinye izixhobo ezifana ne-Snowflake, unokusebenzisa iDatabricks njengesixhobo se-ETL..
Kwingxoxo-mpikiswano phakathi kweDatabricks kunye ne-Snowflake, i-Databricks iphumelela kwi-Snowflake ngokwemiqathango yoLwakhiwo lweDatha.
Ubunini beDatha
Ukucutshungulwa kunye neengqimba zokugcina zihlukaniswe kwi-Snowflake, ezivumela ukuba zikhule ngokuzimeleyo kwilifu. Oku kubonisa ukuba zonke zinokukhula ngokuzimeleyo kwiLifu ngokusekelwe kwiimfuno zakho.
Iimali zakho ziya kuxhamla koku. Ukongeza, ubunini bomaleko omabini bugciniwe. I-snowflake ikhusela ukufikelela kwidatha kunye nezixhobo zomatshini usebenzisa indlela yokulawula ukufikelela kwindima (RBAC).
Ukucutshungulwa kwedatha kunye neengqimba zokugcina zeDatabricks zihlanjululwe ngokupheleleyo, ngokungafaniyo nemigangatho edibeneyo kwi-Snowflake.
Abasebenzisi banokubeka idatha yabo naphi na kuyo nayiphi na ifomathi, kwaye i-Databricks iya kusingatha ngokufanelekileyo kuba injongo yayo ephambili kukusetyenziswa kwedatha.
I-Databricks iphumelele ngokucacileyo kwingxoxo phakathi kweDathabricks kunye ne-Snowflake kuba unokuyisebenzisa ngokulula ukucubungula idatha.
Ukukhuselwa kwedatha
Ixesha lokuhamba kunye nokungaphumeleli-ukhuseleko zizinto ezimbini ezikhethekileyo ze-Snowflake. Umsebenzi we-Time Travel of Snowflake ugcina idatha kwimeko ngaphambi kohlaziyo.
Ngelixa abathengi boShishino banokukhetha uluhlu lwexesha ukuya kuthi ga kwiintsuku ezingama-90, ukuHamba kweXesha kuhlala kuthintelwe kusuku olunye. Oovimba beenkcukacha, i-schemas, kunye neetafile zinokusebenzisa obu buchule.
Xa ixesha lokugcinwa kweXesha lokuHamba liphelile, i-7-day fail-safe period iqala, eyenzelwe ukukhusela nokubuyisela idatha yangaphambili.
I-Databricks iyafana nendlela i-Snowflake's Time Travel feature esebenza ngayo, iDelta Lake's nayo yenza njalo. Idatha egcinwe kwi-Delta Lake iguqulelwa ngokuzenzekelayo, ivumela abasebenzisi ukuba bafumane kwakhona iinguqulelo zedatha zangaphambili zokusetyenziswa kwixesha elizayo.
I-Databricks isebenza kwi-Spark, kwaye ekubeni i-Spark yakhelwe kwindawo yokugcina into, i-Databricks ayinakuze igcine nayiphi na idatha.
Le yenye yeenzuzo zayo eziphambili. Oku kukwathetha ukuba iDatabricks inokusingatha iimeko zokusetyenziswa kwiinkqubo ezikwindawo.
ukhuseleko
Yonke idatha iguqulelwe ngokuntsonkothileyo kwindawo yokuphumla ngaphakathi kwe-Snowflake.
Lonke unxibelelwano phakathi kwendiza yolawulo kunye nendiza yedatha yenzeke ngaphakathi kwinethiwekhi yabucala yomnikezeli welifu, kwaye yonke idatha egcinwe ngaphakathi kweDatabricks ikhuselekile.
Zombini iinketho zibonelela nge-RBAC (ulawulo lokufikelela kwindima). I-Snowflake kunye neeDatabricks zithobela imithetho emininzi kunye neziqinisekiso, kuquka i-SOC 2 Uhlobo lwe-II, i-ISO 27001, i-HIPAA, kunye ne-GDPR.
Nangona kunjalo, njengoko iDatabricks isebenza ngaphezulu kwendawo yokugcina into efana ne-AWS S3, iAzure Blob Storage, Ifu leGoogle Ukugcinwa, njl., ayinayo indawo yokugcina ngokungafaniyo ne-Snowflake.
ukwenza
Ngokubhekiselele ekusebenzeni, i-Snowflake kunye neDatabricks zizisombululo ezingafaniyo kakhulu kangangokuba kunzima ukuzithelekisa.
Kuyenzeka ukuguqula ibhenchmark nganye ukuze ubonise ibali elahluke kancinane. Umzekelo ogqibeleleyo wale nto kwamva nje eqhutywa yiDatabricks malunga nebenchmark ye-TPC-DS.
Ngokubhekiselele kwi-head-to-head-thelekiso, i-Snowflake kunye neDathabricks zixhasa iimeko ezahlukeneyo zokusetyenziswa, kwaye akukho nanye iphakamileyo kunomnye.
I-snowflake, nangona kunjalo, inokuba lolona khetho lukhethwayo kwimibuzo esebenzayo kuba ikhulisa lonke ugcino lokufikelela kwidatha ngexesha lokungeniswa.
Sebenzisa Iimeko
Iimeko zokusetyenziswa kwe-BI kunye ne-SQL zixhaswa kakuhle yiDathabricks kunye ne-Snowflake.
I-Snowflake ibonelela nge-JDBC kunye ne-ODBC abaqhubi abalula ukudibanisa kunye nenye isoftware.
Ngenxa yokuba abathengi akufuneki balawule inkqubo, idume kakhulu ngokusetyenziswa kwayo kwi-BI kunye namashishini akhetha iqonga lohlalutyo oluthe ngqo.
Umthombo ovulekileyo we-Delta Lake okhutshwe yiDatabricks yongeza uluhlu olongezelelweyo lokuzinza kwiLake yabo yeDatha okwangoku. Abathengi banokuthumela imibuzo yeSQL kwiDelta Lake kunye nokusebenza okuhle.
Ngenxa yobuninzi babo kunye nobuchwepheshe obuphezulu, i-Databricks idume ngokusetyenziswa kwayo-imeko ezinciphisa ukutshixelwa kwabathengisi, zifaneleka ngakumbi kwimithwalo yemisebenzi ye-ML, kunye nokuncedisa i-tech giants.
namaxabiso
Abathengi banokufikelela kwiimbono ezine zenqanaba leshishini kunye ne-Snowflake. Umgangatho, iShishini, iBusiness Critical, kunye ne-Snowflake yaBucala yaBucala ziinguqulelo ezine ezikhoyo. Ulwazi lwexabiso lonke luyafumaneka Apha.
Kwelinye icala, amaxabiso amathathu orhwebo anikezelwa yiDatabricks asisiseko, iprimiyamu, kunye neshishini. Ungajonga lonke uluhlu lwamaxabiso ngokufanelekileyo Apha.
isiphelo
Izixhobo zokuhlalutya idatha ezigqwesileyo ziquka i-Snowflake kunye neDatabricks.
Kukho iinzuzo kunye nezithintelo nganye. Iipateni zokusetyenziswa, umthamo wedatha, umthwalo wokusebenza, kunye nesicwangciso sedatha zonke ziyadlala xa usenza isigqibo sokuba leliphi iqonga elilungele ishishini lakho.
I-Snowflake ifaneleka ngakumbi abo banamava nge-SQL kunye nokuguqulwa kwedatha eqhelekileyo kunye nohlalutyo.
Ukusasaza, i-ML, i-AI, kunye nedatha yomsebenzi wesayensi yedatha ifaneleka ngakumbi kwi-Databricks ngenxa ye-injini ye-Spark, exhasa ukusetyenziswa kweelwimi ezininzi.
Ukuze ubambe ezinye iilwimi, i-Snowflake iye yazisa inkxaso yePython, iJava kunye neScala.
Abanye bathi i-Snowflake inciphisa ukugcinwa ngexesha lokuthatha, ngoko iphezulu kwimibuzo esebenzayo.
Ukongeza, ilungile ekuveliseni iingxelo kunye needashbhodi kunye nokulawula umthwalo we-BI. Ngokubhekiselele kwindawo yokugcina idatha, iqhuba kakuhle.
Nangona kunjalo, abanye abasebenzisi baye baqaphela ukuba inengxaki yobuninzi bedatha, njengaleyo ibonwa kwizicelo zokusasaza. I-snowflake iphumelele kukhuphiswano oluthe ngqo olusekelwe kwizakhono zokugcina idatha.
Nangona kunjalo, iDatabricks ayiyondawo yokugcina idatha. Iqonga layo ledatha libanzi kwaye line-ELT ephezulu, isayensi yedatha, kunye nobuchule bokufunda ngomatshini kwi-Snowflake.
Abasebenzisi abalawuli ixabiso lokugcinwa kwezinto ezilawulwayo apho bagcina khona idatha yabo. Ichibi ledatha kunye nokulungiswa kwedatha zizona zihloko eziphambili.
Nangona kunjalo, ijolise ngokukodwa kwiinzululwazi zedatha kunye nabahlalutyi abanobuchule kakhulu.
Ukuqukumbela, iDatabricks yoyisa kubaphulaphuli bezobugcisa. Bobabini abasebenzisi abanobuchule bobugcisa kunye nabangenalwazi banokusebenzisa i-Snowflake ngokulula.
Phantse zonke iimpawu zolawulo lwedatha ezinikezelwa yi-Snowflake zifumaneka ngeDatabricks kunye nokunye okuninzi. Kodwa kunzima kakhulu ukusebenza, kubandakanya igophe lokufunda eliphezulu, kwaye kufuna ukugcinwa ngakumbi.
Nangona kunjalo, inokujongana noluhlu olukhulu kakhulu lomthwalo wedatha kunye neelwimi. Kwaye abo baqhelene ne-Apache Spark baya kungqiyama kwiDatabricks.
I-Snowflake ifaneleka ngakumbi kubathengi abafuna ukufaka ngokukhawuleza indawo yokugcina idatha kunye neqonga lokuhlalutya ngaphandle kokuxinzelelwa phantsi kwi-setups, iinkcukacha zesayensi yedatha, okanye ukuseta ngesandla.
Oku akuthethi ukuba i-Snowflake sisixhobo esilula okanye kubasebenzisi abatsha. Hayi akunjalo.
Ayisiyonto ephezulu njengeDatabricks; elo qonga lifaneleke ngakumbi kubunjineli bedatha enzima, i-ETL, isayensi yedatha, kunye nezicelo zokusasaza.
I-Snowflake yindawo yokugcina idatha yohlalutyo olugcina idatha yokuvelisa. Ukongeza, kuluncedo kubantu abanqwenela ukuqala kancinci kwaye banyuke kancinci kancinci kunye nabaqalayo.
Shiya iMpendulo