Apache Spark e hokela joang ho Databricks?

Sepheo sa sengoloa sena ke ho fana ka tataiso ea tekheniki mabapi le hore na Apache Spark e hokahana joang le Databricks. Lefats'eng la mahlale a khomphutha le a data, Apache Spark e fetohile e 'ngoe ea lisebelisoa tse tsebahalang haholo tsa ho sebetsa le ho sekaseka palo e kholo ea data. Ka lehlakoreng le leng, Databricks ke sethala se etelletseng pele ka leru bakeng sa ts'ebetso e kholo ea data le tlhahlobo e matla. Ho hokahana lipakeng tsa litsamaiso tsena tse peli tse matla ho ka ba le phello e kholo ts'ebetsong, scalability, le ts'ebetso ea merero ea tlhahlobo ea data. Ho pholletsa le sengoloa sena, re tla hlahloba mekhoa e fapaneng le menahano ea tekheniki ho theha khokahano e boreleli le e sebetsang lipakeng tsa Apache Spark le Databricks. Haeba u thahasella ho ntlafatsa ts'ebetso ea hau ea tlhahlobo ea data le ho eketsa lisebelisoa tse fumanehang, sengoloa sena ke sa hau.

1. Kenyelletso ea kamano pakeng tsa Apache Spark le Databricks

Khokahano lipakeng tsa Apache Spark le Databricks e bohlokoa ho ba batlang ho nka monyetla ka botlalo ba matla a litsamaiso ka bobeli. Apache Spark ke moralo oa ts'ebetso oa mohopolo o abuoang o nolofalletsang tlhahlobo e kholo ea data, athe Databricks ke sethala sa tlhahlobo le tšebelisano-mmoho se etselitsoeng ka ho khetheha ho sebetsa le Spark. Karolong ena, re tla hlahloba lintlha tsa motheo tsa khokahano ena le mokhoa oa ho fumana molemo ho lithulusi tseo ka bobeli.

Ho qala, ke habohlokoa ho totobatsa hore kamano pakeng tsa Apache Spark le Databricks e entsoe ka tšebeliso ea APIs itseng. Li-API tsena li fana ka sebopeho se bonolo sa ho sebelisana le Spark ho tsoa ho Databricks le ka tsela e fapaneng. E 'ngoe ea litsela tse atileng haholo tsa ho theha khokahano ena ke ka ho Databricks Python API, e u lumellang hore u romele le ho amohela data pakeng tsa litsamaiso tse peli.

Hang ha khokahano e se e thehiloe, ho na le ts'ebetso e 'maloa e ka etsoang ho sebelisa matla a Spark le Databricks ka botlalo. Ka mohlala, u ka e sebelisa Mesebetsi ea DataFrame le SQL ea Spark ho etsa lipotso tse rarahaneng ho data e bolokiloeng ho Databricks. Ho feta moo, hoa khoneha ho e sebelisa Spark lilaebrari ho etsa lits'ebetso tse tsoetseng pele tsa tlhahlobo, joalo ka ts'ebetso ea kerafo kapa ho ithuta ka mochini.

2. Ho lokisa Apache Spark ho hokela ho Databricks

Ho lokisa Apache Spark le ho e hokahanya le Databricks, ho na le mehato e mengata eo u lokelang ho e latela. Mona ke tataiso e qaqileng ho u thusa ho rarolla bothata bona:

1. Ntlha ea pele, etsa bonnete ba hore u na le Apache Spark e kentsoeng mochine oa hau. Haeba ha u e-so be le eona, u ka e khoasolla ho tsoa ho websaete ea hau Mookameli oa Apache 'me u latele litaelo tsa ho kenya joalo ka sistimi ea hau ea ts'ebetso.

2. Ka mor'a moo, o hloka ho kopitsa le ho kenya Apache Spark Connector bakeng sa Databricks. Sehokelo sena se tla u lumella ho theha khokahano lipakeng tsa bobeli. U ka fumana sehokelo sebakeng sa polokelo ea databricks ho GitHub. Ha e se e jarollotsoe, u hloka ho e kenyelletsa ho tlhophiso ea projeke ea Spark.

3. Hona joale, o hloka ho lokisa morero oa hau oa Spark ho hokahanya le Databricks. U ka etsa sena ka ho kenyelletsa mela e latelang ea khoutu ho Spark script:

from pyspark.sql import SparkSession
spark = SparkSession.builder 
    .appName("Mi App de Spark") 
    .config("spark.databricks.service.url", "https://tu_url_de_databricks") 
    .config("spark.databricks.service.token", "tu_token_de_databricks") 
    .getOrCreate()

Mehala ena ea khoutu e theha URL le tokene ea phihlello ea Databricks bakeng sa projeke ea hau ea Spark. Etsa bonnete ba ho nka sebaka your_databricks_url ka URL ea mohlala oa hau oa Databricks le your_databricks_token ka tokene ea hau ea phihlello ea Databricks.

3. Mohato ka mohato: mokhoa oa ho theha kamano pakeng tsa Apache Spark le Databricks

Ho theha khokahano e atlehileng lipakeng tsa Apache Spark le Databricks, ho bohlokoa ho latela mehato e latelang ka hloko:

1. 1 Mohato: Kena ho akhaonto ea hau ea Databricks 'me u thehe sehlopha se secha. Etsa bonnete ba hore u khetha mofuta oa morao-rao oa Apache Spark o tšehetsoeng ke morero oa hau.
2. 2 Mohato: Ka tlhophiso ea sehlopha, etsa bonnete ba ho nolofalletsa khetho ea "Lumella Phihlello ea Ntle" ho lumella khokahano ho tsoa ho Spark.
3. 3 Mohato: Ka har'a tikoloho ea heno, lokisa Spark e le hore e ka hokela ho Databricks. Sena e ka etsoa ka ho fana ka URL ea sehlopha le mangolo a netefatso ho khoutu ea tlhophiso.

Hang ha mehato ena e phethiloe, u se u loketse ho theha khokahano lipakeng tsa Apache Spark le Databricks. O ka leka khokahano ka ho sebelisa mohlala oa khoutu e balang data ho tsoa faeleng ho Databricks le ho etsa ts'ebetso ea mantlha. Haeba khokahano e atlehile, o lokela ho bona liphetho tsa ts'ebetso ho tlhahiso ea Spark.

4. Ho lokisa netefatso pakeng tsa Apache Spark le Databricks

Netefatso ke karolo ea bohlokoa ha u theha khokahano e sireletsehileng lipakeng tsa Apache Spark le Databricks. Ka poso ena, re tla hlalosa mehato e hlokahalang ea ho lokisa ka nepo netefatso lipakeng tsa likarolo tsena tse peli.

1. Ntlha ea pele, ke habohlokoa ho etsa bonnete ba hore u na le Apache Spark le Databricks tse kentsoeng sebakeng sa hau sa nts'etsopele. Hang ha li kentsoe, etsa bonnete ba hore likarolo tseo ka bobeli li hlophisitsoe hantle 'me li sebetsa hantle.

2. Ka mor'a moo, o hloka ho lokisa ho netefatsa pakeng tsa Apache Spark le Databricks. Sena se ka finyelloa ka ho sebelisa likhetho tse fapaneng tsa netefatso, joalo ka ho sebelisa li-tokens tsa netefatso kapa ho kopanya le bafani ba boitsebahatso ba kantle. Ho sebelisa li-tokens tsa netefatso, o tla hloka ho hlahisa lets'oao ho Databricks mme o le hlophise ka khoutu ea hau ea Apache Spark.

3. Hang ha netefatso e lokisitsoe, o ka leka ho kopanya pakeng tsa Apache Spark le Databricks. Ho etsa sena, o ka tsamaisa mehlala ea khoutu mme o netefatsa hore liphetho li rometsoe ka nepo lipakeng tsa likarolo tseo ka bobeli. Haeba u kopana le mathata afe kapa afe, etsa bonnete ba hore u sheba litlhophiso tsa hau tsa netefatso 'me u latele mehato ka nepo.

5. Ho sebelisa Databricks APIs ho hokahanya le Apache Spark

E 'ngoe ea litsela tse sebetsang ka ho fetisisa tsa ho fumana molemo ka ho fetisisa ho Databricks ke ho sebelisa li-API tsa eona ho hokahanya le Apache Spark. Li-API tsena li lumella basebelisi ho sebelisana le Spark ka mokhoa o atlehileng haholoanyane le ho etsa mesebetsi e rarahaneng ea ho lokisa data habonolo.

Ho sebelisa Databricks APIs le ho hokahanya le Apache Spark, ho na le mehato e mengata eo re lokelang ho e latela. Ntlha ea pele, re hloka ho etsa bonnete ba hore re na le akhaonto ea Databricks le sehlopha sa mosebetsi se thehiloeng. Ka mor'a moo, re tla hloka ho kenya lilaebrari tse hlokahalang le lintho tse itšetlehileng ka tsona ho sebetsa le Spark. Re ka etsa sena re sebelisa mookameli oa sephutheloana sa Python, pip, kapa ka lisebelisoa tse ling tsa moaho le lisebelisoa tsa taolo. Hang ha litšepe li kentsoe, re tla be re itokiselitse ho qala.

Ka mor'a ho theha tikoloho, re ka qala ho sebelisa Databricks APIs. Li-API tsena li re lumella ho sebelisana le Spark ka lipuo tse fapaneng tsa mananeo, joalo ka Python, R kapa Scala. Re ka romella lipotso ho Spark, ra bala le ho ngola lintlha tse tsoang mehloling e fapaneng, ra tsamaisa mesebetsi ea Spark ka ho bapisa, le tse ling tse ngata. Ho feta moo, Databricks e fana ka litokomane le lithupelo tse batsi ho re thusa ho sebelisa li-API tsena hamolemo le ho rarolla mathata a ts'ebetso ea data. ka katleho.

6. Fumana taolo ea senotlolo bakeng sa ho hokahanya pakeng tsa Apache Spark le Databricks

Ho bohlokoa ho netefatsa ts'ireletso ea data le lekunutu. Ka tlase ke ts'ebetso e qaqileng mohato ka mohato mabapi le mokhoa oa ho rarolla bothata bona.

1. Hlahisa senotlolo sa ho kena: Mohato oa pele ke ho hlahisa senotlolo sa ho fihlella ho Databricks. Sena se ka etsoa ka Databricks UI kapa ka ho sebelisa API e tsamaellanang. Ho bohlokoa ho khetha password e sireletsehileng 'me u hopole ho e boloka sebakeng se sireletsehileng.

2. Lokisa Spark ho sebelisa senotlolo sa ho kena: Hang ha senotlolo sa ho fihlella se entsoe, o hloka ho lokisa Apache Spark ho e sebelisa. Sena se ka etsoa ka ho kenyelletsa tlhophiso e latelang ho khoutu ea hau ea Spark:

spark.conf.set("spark.databricks.username", "your-username")
spark.conf.set("spark.databricks.password", "your-password")

3. Theha khokahano: Hang ha Spark e se e hlophisitsoe, khokahano ho Databricks e ka thehoa ho sebelisoa senotlolo sa ho fihlella se hlahisitsoeng ka holimo. Sena se ka etsoa ka ho theha mohlala oa sehlopha sa 'SparkSession' le ho totobatsa URL ea Databricks, tokene ea phihlello le likhetho tse ling tse hlokahalang.

7. Tšireletseho le ho kenyeletsa puisano pakeng tsa Apache Spark le Databricks

8. Ho beha leihlo le ho rengoa ha liketsahalo mabapi le kamano pakeng tsa Apache Spark le Databricks

Ho beha leihlo le ho boloka liketsahalo mabapi le khokahano lipakeng tsa Apache Spark le Databricks, ho na le lisebelisoa le mekhoa e fapaneng e lumellang ho lateloa ka botlalo ha ts'ebetso le ho rarolla mathata a ka bang teng. ka nepo. Malebela le mekhoa e metle ke ena:

1. Sebelisa tlaleho ea ketsahalo ea Apache Spark: Apache Spark e fana ka sistimi ea ho rema lifate e hahelletsoeng kahare e tlalehang lintlha tse qaqileng mabapi le ts'ebetso le liketsahalo tse entsoeng nakong ea ts'ebetso ea mosebetsi. Log ena e bohlokoa haholo ho tsebahatsa liphoso le ho ntlafatsa ts'ebetso ea sistimi. Boemo ba ho rema lifate bo ka hlophisoa ho lumellana le litlhoko tse khethehileng tsa morero.

2. Numella lintlha tsa databricks: Databricks e boetse e fana ka sistimi ea eona ea ho rema lifate, e ka nolofalloang ho fumana leseli le eketsehileng mabapi le khokahano ho Apache Spark. Li-log tsa databricks li ka thusa ho tseba litaba tse amanang le sethala le ho fana ka pono e felletseng ea liketsahalo tse etsahalang nakong ea polao.

3. Sebelisa lisebelisoa tse ling tsa ho beha leihlo: Ho phaella ho lirekoto tse hahiloeng ho Apache Spark le Databricks, ho na le lisebelisoa tsa ho beha leihlo tse kantle tse ka thusang ho beha leihlo le ho ntlafatsa khokahano lipakeng tsa litsamaiso ka bobeli. Tse ling tsa lisebelisoa tsena li fana ka bokhoni bo tsoetseng pele, joalo ka metrics ea ho shebella ka nako ea 'nete, ho latela mosebetsi le bokhoni ba ho hlahisa litlhokomeliso bakeng sa liketsahalo tsa bohlokoa. Lisebelisoa tse ling tse tsebahalang li kenyelletsa Grafana, Prometheus, le DataDog.

9. Ntlafatso ea ts'ebetso kamanong pakeng tsa Apache Spark le Databricks

Ho ntlafatsa ts'ebetso ea khokahano lipakeng tsa Apache Spark le Databricks, hoa hlokahala ho latela letoto la mehato e tla ntlafatsa ts'ebetso ea sistimi ka kakaretso. Tse ling tsa maqheka a sebetsang ka ho fetisisa a ho finyella sepheo sena li tla hlalosoa ka tlase.

1. Tlhophiso ea lisebelisoa: Ho bohlokoa ho netefatsa hore lisebelisoa tse fumanehang ho Apache Spark le Databricks li hlophisitsoe hantle. Sena se kenyelletsa ho fana ka mohopolo o lekaneng, CPU, le polokelo ho netefatsa ts'ebetso e nepahetseng. Ho phaella moo, ho kgothaletswa ho sebelisa mechine ea sebele ts'ebetso e phahameng le ho lokisa liparamente tsa tlhophiso ho latela litlhoko tse ikhethileng.

2. Taolo ea Bottleneck: Ho khetholla le ho rarolla mathata a ka bang teng ho bohlokoa ho ntlafatsa ts'ebetso. Mekhoa e meng ea ho fihlela sena e kenyelletsa ho sebelisa cache, parallelization ea mosebetsi, le ho ntlafatsa lipotso. Ho boetse ho na le thuso ho sebelisa lisebelisoa tsa ho beha leihlo le ho hlahloba ho tseba mefokolo e ka bang teng tsamaisong.

3. Tšebeliso ea mekhoa e tsoetseng pele ea ho ntlafatsa: Ho na le mekhoa e fapaneng ea ntlafatso e ka sebelisoang ho ntlafatsa ts'ebetso ea khokahano lipakeng tsa Apache Spark le Databricks. Tsena li kenyelletsa karohano e nepahetseng ea data, ho sebelisa li-algorithms tse sebetsang hantle, ho fana ka lintlha, le ho ntlafatsa moralo oa polokelo. Ho kenya ts'ebetsong mekhoa ena ho ka fella ka ntlafatso e kholo lebelong le ts'ebetsong ea sistimi.

10. Tšebeliso ea lilaebrari tse tsamaellanang bakeng sa khokahano lipakeng tsa Apache Spark le Databricks

Khokahano lipakeng tsa Apache Spark le Databricks e bohlokoa ho ntlafatsa ts'ebetso ea lits'ebetso tse kholo tsa data marung. Ka lehlohonolo, ho na le lilaebrari tse 'maloa tse tsamaisanang tse tsamaisang khokahanyo ena le ho lumella baetsi ho nka monyetla ka botlalo ba bokhoni ba litsamaiso ka bobeli.

E 'ngoe ea lilaebrari tse tsebahalang haholo ho hokahanya Apache Spark le Databricks ke spark-databricks-connect. Laeborari ena e fana ka API e bonolo le e sebetsang hantle ea ho sebelisana le lihlopha tsa Spark ho Databricks. E lumella basebelisi ho tsamaisa lipotso tsa Spark ka kotloloho ho Databricks, ho arolelana litafole le lipono lipakeng tsa libuka tsa Spark le Databricks, le ho fihlella data e bolokiloeng lits'ebetsong tsa kantle tse kang S3 kapa Azure Blob Storage. Ho feta moo, spark-databricks-connect e etsa hore ho be bonolo ho fallela Spark code e teng ho Databricks ntle le ho hloka liphetoho tse kholo.

Khetho e 'ngoe e molemo haholo ke lebenkele la libuka Delta Lake, e fanang ka sekhahla sa boemo bo phahameng ba ho tlosoa ho feta polokelo ea data ho Databricks. Delta Lake e fana ka taolo ea mofuta o tsoetseng pele, litšebelisano tsa ACID, le likarolo tse ikemetseng tsa taolo ea schema, tse nolofatsang haholo nts'etsopele le tlhokomelo ea lits'ebetso tse kholo tsa data. Ho feta moo, Delta Lake e tsamaisana le Apache Spark, ho bolelang hore data e bolokiloeng Delta Lake e ka fumaneha ka kotloloho ho tsoa ho Spark ho sebelisa li-API tse tloaelehileng tsa Spark.

11. Ho hlahloba lintlha ho Databricks ho sebelisa Apache Spark

Ke mosebetsi oa mantlha oa ho sekaseka le ho utloisisa lintlha tsa motheo. Sehloohong sena, re tla fana ka thuto e qaqileng ea mohato ka mohato mabapi le mokhoa oa ho etsa tlhahlobo ena ea data, ho sebelisa lisebelisoa tse fapaneng le mehlala e sebetsang.

Ho qala, ho bohlokoa ho hlokomela hore Databricks ke sethala sa tlhahlobo ea data se thehiloeng marung se sebelisang Apache Spark joalo ka enjine ea eona ea ts'ebetso. Sena se bolela hore re ka sebelisa bokhoni ba Spark ba ho etsa lipatlisiso tse sebetsang hantle le tse mpe tsa lisebelisoa tsa rona tsa data.

E 'ngoe ea mehato ea pele ea ho hlahloba lintlha ho Databricks ke ho kenya lintlha tsa rona sethaleng. Re ka sebelisa mehloli e fapaneng ea data, joalo ka lifaele tsa CSV, li-database tsa kantle kapa ho hasanya ka nako ea nnete. Hang ha lintlha tsa rona li se li kentsoe, re ka qala ho etsa liphuputso tse fapaneng, joalo ka ho bona lintlha ka mahlo, ho sebelisa lihloela le likhokahano, le ho tsebahatsa lipaterone kapa liphoso.

12. Mokhoa oa ho hokahanya le ho pheta-pheta data pakeng tsa Apache Spark le Databricks

Apache Spark le Databricks ke lisebelisoa tse peli tse tsebahalang haholo bakeng sa ho sebetsa le ho sekaseka palo e kholo ea data. Empa re ka hokahanya le ho pheta-pheta data joang lipakeng tsa li-platform tsee tse peli? tsela e sebetsang? Sehloohong sena re tla hlahloba mekhoa le mekhoa e fapaneng ea ho finyella tumellano ena.

Mokhoa o mong oa ho hokahanya le ho pheta lintlha lipakeng tsa Apache Spark le Databricks o sebelisa Apache Kafka. Kafka ke sethala sa melaetsa se ajoang se u lumellang ho romella le ho amohela data ka nako ea nnete. Re ka hlophisa node ea Kafka ho Spark le Databricks mme ra sebelisa bahlahisi ba Kafka le bareki ho romella le ho amohela data lipakeng tsa lipolanete tsena tse peli.

Khetho e 'ngoe ke ho sebelisa Delta Lake, lera la tsamaiso ea data holim'a Spark le Databricks. Delta Lake e fana ka ts'ebetso e eketsehileng ho laola litafole le data ka katleho. Re ka theha litafole tsa Delta mme ra sebelisa ho ngola le ho bala mesebetsi ea Delta ho hokahanya le ho pheta-pheta data lipakeng tsa Spark le Databricks. Ntle le moo, Delta Lake e fana ka likarolo tse joalo ka taolo ea mofuta le ho fetola ho ts'oaroa ha data, ho etsa hore ho be bonolo ho hokahanya le ho pheta lintlha ka nako ea nnete.

13. Mehato ea ho hlaka mabapi le kamano pakeng tsa Apache Spark le Databricks

Karolong ena re tla sebetsana le lintlha tsa bohlokoa tseo re lokelang ho li ela hloko ho ntlafatsa scalability mabapi le Apache Spark le Databricks. Lintlha tsena li bohlokoa ho netefatsa ts'ebetso e nepahetseng le ho eketsa bokhoni ba lisebelisoa tsena tse peli tse matla. Ka tlase ke litlhahiso tse sebetsang:

1. Tlhophiso e nepahetseng ea sehlopha: Bakeng sa scalability e nepahetseng, ho bohlokoa ho hlophisa sehlopha sa hau sa Databricks hantle. Sena se kenyelletsa ho khetholla boholo bo nepahetseng ba li-node, palo ea li-node, le kabo ea lisebelisoa. Ho feta moo, ho bohlokoa ho nahana ka ho sebelisa maemo a nang le bokhoni ba ho ikamahanya le maemo a feto-fetohang a mosebetsi.

2. Parallelism le karohano ea data: Ho tšoana ke ntho ea bohlokoa ho scalability ea Apache Spark. Ho khothalletsoa ho arola data ea hau ka nepo ho sebelisa monyetla o felletseng oa bokhoni ba ts'ebetso e ajoang. Sena se kenyelletsa ho arola lintlha ka likarolo le ho li aba ka ho lekana har'a li-node tse sehlopheng. Ntle le moo, ho bohlokoa ho hlophisa parallelism ea Spark ho netefatsa phano e sebetsang ea mojaro oa mosebetsi.

3. Tšebeliso e nepahetseng ea memori le polokelo: Ho ntlafatsa memori le polokelo ho bohlokoa ho netefatsa ts'ebetso e kholo. Ho khothaletsoa ho eketsa ts'ebeliso ea memori ka mekhoa e joalo ka ts'ebetso ea memori ea memori le boholo ba cache. Ho feta moo, ho bohlokoa ho nahana ka tšebeliso ea litsamaiso tse loketseng tsa polokelo, joalo ka HDFS kapa litsamaiso polokelo ea leru, ho netefatsa phihlello e nepahetseng ea data sebakeng se ajoang.

14. Phihlelo ea linyeoe tsa sebele tsa khokahanyo e atlehileng pakeng tsa Apache Spark le Databricks

Karolong ena, ho tla hlahisoa linyeoe tse ling tse bonts'ang khokahano e atlehileng lipakeng tsa Apache Spark le Databricks. Ka mehlala ena, basebelisi ba tla ba le mohopolo o hlakileng oa mokhoa oa ho kenya tšebetsong kopanyo ena mererong ea bona.

E 'ngoe ea linyeoe tsa ts'ebeliso e shebane le ho sebelisa Apache Spark bakeng sa tlhahlobo ea data ea nako ea nnete. Mohlala ona o tla bontša mokhoa oa ho hokahanya Apache Spark le Databricks ho nka monyetla ka matla a ho sebetsa le ho boloka maru. Thupelo ea mohato ka mohato mabapi le ho theha le ho sebelisa lisebelisoa tsena e tla kenyeletsoa, ​​ho fana ka malebela le maqheka bakeng sa kgokelo e atlehileng.

Taba e 'ngoe ea sebele e lokelang ho totobatsoa ke ho kopanngoa ha Apache Spark le Databricks bakeng sa ho kenya ts'ebetsong mekhoa ea ho ithuta mochine. E tla hlalosa mokhoa oa ho sebelisa Spark bakeng sa ts'ebetso ea data le ho e qhekella, le mokhoa oa ho e hokahanya hantle le Databricks ho aha, ho koetlisa le ho tsamaisa mefuta ea ho ithuta ea mochini. Ho feta moo, mehlala ea khoutu le mekhoa e metle e tla fanoa ho eketsa sephetho khokahanong ena.

Qetellong, Apache Spark e ka hokahanngoa le Databricks ka kopanyo e se nang moeli e nkang monyetla oa bokhoni ba litsamaiso ka bobeli. Synergy ena e fana ka tikoloho e matla le e mpe ea tlhahlobo ea data, e lumellang basebelisi ho sebelisa bokhoni bo tsoetseng pele ba Spark le likarolo tsa tšebelisano tsa Databricks.

Ka ho hokahanya Apache Spark ho Databricks, basebelisi ba ka nka monyetla ka bokhoni ba Spark bo tsoetseng pele ba ts'ebetso le tlhahlobo ea data, hammoho le tlhahiso ea boemo bo holimo le likarolo tsa tšebelisano tse fanoeng ke Databricks. Khokahano ena e etsa hore ho be le boiphihlelo bo nepahetseng ba tlhahlobo ea data mme e lumella lihlopha ho sebelisana le ho sebetsa 'moho ka katleho.

Ho feta moo, kopanyo ea Apache Spark le Databricks e fana ka sethala se kopaneng sa tlhahlobo ea data ea leru se nolofatsang ts'ebetso le ho lumella basebelisi ho fihlella likarolo tse ling tse joalo ka taolo ea lihlopha le kopanyo e se nang moeli le lisebelisoa le lits'ebeletso tsa motho oa boraro.

Ka bokhutšoanyane, ho hokahanya Apache Spark ho Databricks ho fa basebelisi tharollo e feletseng le e matla bakeng sa ts'ebetso le tlhahlobo ea lintlha tse kholo. Ka kopanyo ena, lihlopha li ka fihlella likarolo tse tsoetseng pele tsa Spark le ho sebelisa monyetla oa katleho le tšebelisano e fanoeng ke Databricks. Motsoako ona oa mahlale a itlhommeng pele indastering a susumetsa boqapi le bokhabane lefapheng la mahlale a data le analytics ea data ea khoebo.