Ho latela Statista, ka 2025 boholo ba mmaraka o moholo oa data bo tla hola ho fihla ho li-zettabyte tse 175 ha li bapisoa le tse 41 ka 2019.). Ho fumana mosebetsi tšimong ena, o hloka ho utloisisa mokhoa oa ho sebetsa le data e kholo e bolokiloeng lerung. Cloud4Y e hlophisitse lethathamo la lithuto tsa 12 tse lefelloang le tse sa lefelloeng tsa boenjiniere ba data tse tla atolosa tsebo ea hau tšimong 'me e ka ba sebaka se setle sa ho qala tseleng ea hau ea ho fumana mangolo a mangolo a maru.
Tlhaloso
Moenjiniere oa data ke eng? Enoa ke motho ea nang le boikarabelo ba ho theha le ho boloka meralo ea data morerong oa Data Science. Boikarabello bo ka kenyelletsa ho netefatsa phallo e ntle ea data lipakeng tsa seva le ts'ebeliso, ho kopanya software e ncha ea taolo ea data, ho ntlafatsa lits'ebetso tsa data, le ho theha liphaephe tsa data.
Ho na le palo e kholo ea theknoloji le lisebelisoa tseo moenjiniere oa data a lokelang ho li tseba e le hore a sebetse le cloud computing, polokelo ea data, ETL (ho ntša, ho fetola, ho kenya), joalo-joalo Ho feta moo, palo ea litsebo tse hlokahalang e ntse e hōla ka linako tsohle, kahoo moenjiniere oa boitsebiso o hloka ho tlatsa tsebo ea hae kamehla. Lenane la rona le kenyelletsa lithuto tsa ba qalang le litsebi tse nang le phihlelo. Khetha se u tšoanelang.
1. Setifikeiti sa Boenjineri ba Boitsebiso Nanodegree ()
U tla ithuta ho rala mefuta ea data, ho theha libaka tsa polokelo ea data le matša a data, ho iketsetsa liphaephe tsa data le ho sebetsa ka mefuta e mengata ea li-database. Qetellong ea lenaneo, u tla leka tsebo ea hau e ncha ka ho tlatsa morero oa Capstone.
Nako: Likhoeli tse 5, lihora tse 5 ka beke
Puo: Senyesemane
theko: $ 1695
ho bophahamo ba: ea pele
2. Eba Setifikeiti sa Moenjiniere oa Lintlha ()
Ba ruta ho tsoa linthong tsa motheo. U ka hatela pele mohato ka mohato, u sebelisa lipuo le merero ea matsoho ho sebetsa ka litsebo tsa hau. Qetellong ea thupelo, u tla be u loketse ho sebetsa le ML le data e kholo. Ho kgothaletswa ho tseba Python bonyane bonyane bonyane.
Nako: Likhoeli tse 8, lihora tse 10 ka beke
Puo: Senyesemane
theko😕
ho bophahamo ba: ea pele
3. Eba Moenjiniere oa Boitsebiso: Ho Tseba Maikutlo ()
U tla nts'etsapele boenjiniere ba data le boiphihlelo ba DevOps, u ithute ho theha lits'ebetso tsa Big Data, ho theha liphaephe tsa data, ho sebetsa lits'ebetso ka nako ea nnete u sebelisa Hazelcast le database..
Nako: E itšetlehile ka uena
Puo: Senyesemane
theko: khoeli ea pele - mahala
ho bophahamo ba: ea pele
4. Lithuto tsa Boenjiniere ba Lintlha ()
Mona ke letoto la mananeo a u tsebisang boenjiniere ba data le ho u ruta mokhoa oa ho hlahisa litharollo tsa tlhahlobo. Lithuto li arotsoe ka mekhahlelo ho latela boemo ba bothata, kahoo o ka khetha e le 'ngoe ho latela boemo ba boiphihlelo ba hau. Nakong ea koetliso u tla ithuta ho sebelisa Spark, Hadoop, Azure le ho laola lintlha tsa khoebo.
Nako: E itšetlehile ka uena
Puo: Senyesemane
theko: ho itšetlehile ka thupelo e khethiloeng
ho bophahamo ba: ea qalang, ea mahareng, e tsoetseng pele
5. Moenjiniere oa Boitsebiso ()
Thupelo ena e bohlokoa ho nka haeba u na le boiphihlelo ka Python 'me u batla ho tebisa tsebo ea hau le ho aha mosebetsi oa ho ba rasaense oa data. U tla ithuta ho haha liphaephe tsa data ka ho sebelisa Python le pandas, ho kenya lisebelisoa tse kholo tsa data ho database ea Postgres ka mor'a ho hloekisa, ho fetola le ho netefatsa.
Nako: E itšetlehile ka uena
Puo: Senyesemane
theko: e itšetlehile ka foromo ea ngoliso
ho bophahamo ba: ea qalang, ea mahareng
6. Data Engineering ka Google Cloud ()
Thupelo ena e tla u thusa ho fumana litsebo tseo u li hlokang ho aha mosebetsi oa data e kholo. Ka mohlala, ho sebetsa le BigQuery, Spark. U tla fumana tsebo eo u e hlokang ho itokisetsa setifikeiti se tsebahalang sa Google Cloud Professional Data Engineer.
Nako: Likhoeli tse 4
Puo: Senyesemane
theko: mahala hajoale
ho bophahamo ba: ea qalang, ea mahareng
7. Boenjineri ba Boitsebiso, Boitsebiso bo Botle ho Sethala sa Google Cloud ()
Thupelo e khahlisang e fanang ka tsebo e sebetsang ea lits'ebetso tsa ts'ebetso ea data ho GCP. Nakong ea tlelase, o tla ithuta ho rala litsamaiso pele o qala ts'ebetso ea nts'etsopele. Ntle le moo, o tla sekaseka lintlha tse hlophisitsoeng le tse sa hlophisoang, sebelisa auto-scaling, 'me u sebelise mekhoa ea ML ho ntša tlhahisoleseling.
Nako: Likhoeli tse 3
Puo: Senyesemane
theko: mahala hajoale
ho bophahamo ba: ea qalang, ea mahareng
8. UC San Diego: Boithuto bo Botle ba Boitsebiso ()
Thupelo e ipapisitse le ho sebelisa moralo oa Hadoop le Spark le ho sebelisa mekhoa ena e meholo ea data ts'ebetsong ea ML. U tla ithuta lintlha tsa motheo tsa ho sebelisa Hadoop ka MapReduce, Spark, Pig le Hive. Ithute mokhoa oa ho etsa mehlala ea ho lepa le ho sebelisa li-analytics tsa kerafo ho etsa mohlala oa mathata. Ka kopo hlokomela hore thupelo ena ha e hloke boiphihlelo ba mananeo.
Nako: Likhoeli tse 8, lihora tse 10 ka beke
Puo: Senyesemane
theko: mahala hajoale
ho bophahamo ba: ea pele
9. Ho Laola lintlha tse kholo ka Apache Spark le Python ()
U tla ithuta ho sebelisa sebopeho sa molapo le liforeimi tsa data ho Spark3, 'me u fumane kutloisiso ea ho sebelisa ts'ebeletso ea Amazon Elastic MapReduce ho sebetsa le sehlopha sa hau sa Hadoop. Ithute ho tseba mathata a tlhahlobo e kholo ea data le ho utloisisa hore na lilaebrari tsa GraphX li sebetsa joang ka tlhahlobo ea marang-rang le hore na u ka sebelisa MLlib joang.
Nako: E itšetlehile ka uena
Puo: Senyesemane
theko: ho tloha ho li-ruble tse 800 ho ea ho $ 149,99 (ho itšetlehile ka mahlohonolo a hau)
ho bophahamo ba: ea qalang, ea mahareng
10. Lenaneo la PG ho Boenjiniere ba Boitsebiso bo Boholo ()
Thupelo ena e tla u fa kutloisiso ea hore na Aadhaar e sebetsa joang, hore na Facebook e etsa hore litaba li be motho ka mong, le hore na Data Engineering e ka sebelisoa joang ka kakaretso. Lihlooho tsa bohlokoa e tla ba ts'ebetso ea data (ho kenyeletsoa le ts'ebetso ea nako ea nnete), MapReduce, litlhahlobo tse kholo tsa data.
Nako: Likhoeli tse 11
Puo: Senyesemane
thekoLitšenyehelo: hoo e ka bang $3000
ho bophahamo ba: ea pele
11. Setsebi sa Boitsebiso ba Litsebi ()
U tla ithuta ho etsa lenaneo ho Python, u ithute meralo ea ho koetlisa marang-rang a neural Tensorflow le Keras. Tseba li-database tsa MongoDB, PostgreSQL, SQLite3, ithute ho sebetsa le lilaebrari tsa Pandas, NumPy le Matpotlib.
Nako: Lihora tse 300 tsa koetliso
Puo: Serussia
theko: Likhoeli tse tšeletseng tsa pele mahala, ebe li-ruble tse 3900 ka khoeli
ho bophahamo ba: ea pele
12. Data Engineer 7.0 ()
U tla fumana boithuto bo tebileng ba Kafka, HDFS, ClickHouse, Spark, Airflow, meralo ea lambda le meralo ea kappa. U tla ithuta ho hokahanya lisebelisoa ho e mong, ho etsa liphaephe, ho fumana tharollo ea motheo. Ho ithuta, bonyane tsebo ea Python 3 ea hlokahala.
Nako: Lithuto tse 21, libeke tse 7
Puo: Serussia
theko: ho tloha ho 60 ho isa ho 000 li-ruble
ho bophahamo ba: ea pele
Haeba u batla ho kenyelletsa thupelo e 'ngoe e ntle lethathamong, u ka itokolla ho maikutlo kapa ho PM. Re tla ntlafatsa poso.
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Ngolisa ho rona -channel e le hore u se ke ua fetoa ke sehlooho se latelang. Ha re ngole ho feta habeli ka beke le ka khoebo feela. Re boetse re u hopotsa hore ka May 21 ka 15:00 (nako ea Moscow) re tla tšoara sehloohong se reng "Tsireletso ea tlhahisoleseling ea khoebo ha u sebetsa u le hole." Haeba u batla ho utloisisa mokhoa oa ho sireletsa tlhahisoleseling e hlokolosi le ea khoebo ha basebetsi ba sebetsa lapeng, ngolisa!
Source: www.habr.com