{"id":81855,"date":"2020-05-17T01:42:37","date_gmt":"2020-05-16T23:42:37","guid":{"rendered":"https:\/\/prohoster.info\/blog\/administrirovanie\/12-onlajn-kursov-po-data-engineering"},"modified":"2020-05-17T01:42:37","modified_gmt":"2020-05-16T23:42:37","slug":"12-onlajn-kursov-po-data-engineering","status":"publish","type":"post","link":"https:\/\/prohoster.info\/et\/blog\/administrirovanie\/12-onlajn-kursov-po-data-engineering","title":{"rendered":"12 veebikursust andmete insenerit\u00f6\u00f6 kohta","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

\"12
\nStatista andmetel suureneb suurandmete turg 2025. aastaks 175 zettabaitini, v\u00f5rreldes 41 zettabaitidega 2019. aastal (diagramm<\/a><\/noindex>). Sellel alal t\u00f6\u00f6 leidmiseks on oluline m\u00f5ista, kuidas t\u00f6\u00f6tada suurte andmetega, mis on salvestatud pilve. Cloud4Y on koostanud nimekirja 12 tasulist ja tasuta kursust andmeinseneri alal, mis laiendavad teie teadmisi ja v\u00f5ivad olla hea l\u00e4htepunkt pilve sertifikaatide poole.<\/i><\/a><\/noindex><\/p>\n

Eess\u00f5na<\/strong><\/p>\n

Mis on andmete t\u00f6\u00f6tlemise spetsialist (data engineer)? See on isik, kes vastutab andmearhitektuuri loomise ja toetamise eest Data Science'i projektis. Tema \u00fclesannete hulka v\u00f5ib kuuluda pideva andmevoo tagamine serveri ja rakenduse vahel, uue andmehalduse tarkvara integreerimine, andmete p\u00f5hiprotsesside t\u00e4iustamine ja andmetoru loomine.<\/p>\n

Andmeid insenerina t\u00f6\u00f6tamiseks on palju tehnoloogiaid ja t\u00f6\u00f6riistu, mis on vajalikud pilvandmet\u00f6\u00f6tluse, andmesalvestamise, ETL (andmete ekstraktsioon, teisendamine, laadimine) ja muude valdkondade jaoks. N\u00f5utavate oskuste hulgas pidev kasv t\u00f5ukab andmeid insenerilt, et pidevalt t\u00e4iendada oma teadmiste baasi. Meie nimekirjas on kursused nii algajatele kui ka kogenud spetsialistidele. Valige endale sobiv.<\/p>\n

1. Andmete inseneri nanodiplomi sertifikaat (Udacity<\/a><\/noindex>)<\/p>\n

Te \u00f5pite andmemudeleid projekteerima, andmesalvestusi ja andmej\u00e4rvi looma, andmeprotsesse automatiseerima ning suurte andmestikega t\u00f6\u00f6tama. Programm l\u00f5peb Capstone projekti l\u00f5petamisega, kus testite oma uusi oskusi.<\/p>\n

Kestus<\/strong>: 5 kuud, 5 tundi n\u00e4dalas
\nKeel<\/strong>: inglise
\nHind<\/strong>: $1695
\nTase<\/strong>: algtaseme<\/p>\n

2. Saage andmeinseneriks sertifikaat (Coursera<\/a><\/noindex>)<\/p>\n

\u00d5petatakse algusest peale. Saate samm-sammult areneda, kasutades loenguid ja praktilisi projekte, et arendada oma oskusi. Koolituse l\u00f5puks olete valmis t\u00f6\u00f6tama ML ja suurte andmetega. Soovitav on teada Pythonit v\u00e4hemalt minimaalsetasemel.<\/p>\n

Kestus<\/strong>: 8 kuud, 10 tundi n\u00e4dalas
\nKeel<\/strong>: inglise
\nHind<\/strong>\ud83d\ude15
\nTase<\/strong>: algtaseme<\/p>\n

3. Saage andmeinseneriks: m\u00f5istete meisterlikkus (LinkedIn Learning<\/a><\/noindex>)<\/p>\n

Arendate andmete kavandamise ja DevOps oskusi, \u00f5pite looma Big Data rakendusi, looma andmestikke, t\u00f6\u00f6tlema reaalajas rakendusi Hazelcasti ja andmebaasi abil. Hadoop<\/a><\/noindex>.<\/p>\n

Kestus<\/strong>: s\u00f5ltub teist
\nKeel<\/strong>: inglise
\nHind<\/strong>: esimene kuu \u2014 tasuta
\nTase<\/strong>: algtaseme<\/p>\n

4. Andmeinseneri kursused (edX<\/a><\/noindex>)<\/p>\n

Siia on kogutud rida programme, mis tutvustavad teid andmeinseneri ametiga ja \u00f5petavad anal\u00fc\u00fctiliste lahenduste v\u00e4ljat\u00f6\u00f6tamist. Kursused on jagatud kategooriatesse vastavalt keerukusele, seega saate valida oma oskuste tasemele vastava kursuse. \u00d5ppimise k\u00e4igus \u00f5pite kasutama Spark'i, Hadoop'i, Azure'it ning hallama ettev\u00f5tte andmeid.<\/p>\n

Kestus<\/strong>: s\u00f5ltub teist
\nKeel<\/strong>: inglise
\nHind<\/strong>: s\u00f5ltub valitud kursusest
\nTase<\/strong>: algaja, keskmine, edasij\u00f5udnu<\/p>\n

5. Andmeinsener (DataQuest<\/a><\/noindex>)<\/p>\n

Seda kursust tasub valida, kui teil on kogemusi Pythoniga ja soovite oma teadmisi s\u00fcvendada ning rajada karj\u00e4\u00e4ri andmet\u00f6\u00f6tluse spetsialistina. \u00d5pite ehitama andmestikke, kasutades Pythonit ja pandas'i, laadima suuri andmekogusid PostgreSQL andmebaasi p\u00e4rast puhastamist, teisendamist ja kontrollimist.<\/p>\n

Kestus<\/strong>: s\u00f5ltub teist
\nKeel<\/strong>: inglise
\nHind<\/strong>: s\u00f5ltub tellimuse vormist
\nTase<\/strong>: algaja, keskmine<\/p>\n

6. Andmeinseneer Google Cloudiga (Coursera<\/a><\/noindex>)<\/p>\n

See kurs aitab teil omandada oskusi, mis on vajalikud karj\u00e4\u00e4ri ehitamiseks suurte andmete valdkonnas. N\u00e4iteks BigQuery, Spark kasutamine. Saate teadmisi, mis on kasulikud Google Cloud Professional Data Engineerist saadud t\u00f6\u00f6stusharu sertifikaadi ettevalmistamisel.<\/p>\n

Kestus<\/strong>: 4 kuud
\nKeel<\/strong>: inglise
\nHind<\/strong>: tasuta
\nTase<\/strong>: algaja, keskmine<\/p>\n

7. \u00a0 Andmeinsener, Suured Andmed Google Cloud Platvormil (Coursera<\/a><\/noindex>)<\/p>\n

Huvitav kursus, mis annab praktilisi teadmisi andmet\u00f6\u00f6tluss\u00fcsteemidest GCP-s. Tundide jooksul \u00f5pite, kuidas projekteerida s\u00fcsteeme, enne kui alustate arendamisprotsessi. Lisaks anal\u00fc\u00fcsite nii struktureeritud kui ka struktureerimata andmeid, rakendate automaatset skaleerimist ja kasutate masin\u00f5ppe meetodeid teabe eraldamiseks.<\/p>\n

Kestus<\/strong>: 3 kuud
\nKeel<\/strong>: inglise
\nHind<\/strong>: tasuta
\nTase<\/strong>: algaja, keskmine<\/p>\n

8. \u00a0 UC San Diego: Suurte Andmete Spetsialiseerumine (Coursera<\/a><\/noindex>)<\/p>\n

Kursus p\u00f5hineb Hadoopi ja Spark'i infrastruktuuri kasutamisel ning nende meetodite rakendamisel suurte andmete t\u00f6\u00f6tlemisel masin\u00f5ppes. Tutvute Hadoopi kasutamise alustega koos MapReduce, Spark, Pig ja Hive'iga. \u00d5pite, kuidas ehitada prognoosimudeleid ja kasutada graafianal\u00fc\u00fcsi probleemide modelleerimiseks. Oluline on m\u00e4rkida, et selle kursuse jaoks ei ole programmeerimise kogemus vajalik.<\/p>\n

Kestus<\/strong>: 8 kuud, 10 tundi n\u00e4dalas
\nKeel<\/strong>: inglise
\nHind<\/strong>: tasuta
\nTase<\/strong>: algtaseme<\/p>\n

9. Taming Big Data With Apache Spark and Python (Udemy<\/a><\/noindex>)<\/p>\n

Sa \u00f5pid, kuidas kasutada Spark3-s voogesitusstruktuuri ja andmaraame, saad \u00fclevaate Amazon Elastic MapReduce teenuse kasutamisest oma Hadoopi klastriga. \u00d5pid tuvastama probleeme suurandmete anal\u00fc\u00fcsimisel ning saad aru, kuidas GraphX teegid t\u00f6\u00f6tavad v\u00f5rguanal\u00fc\u00fcsi puhul ja kuidas sa saad kasutada MLlib'i.<\/p>\n

Kestus<\/strong>: s\u00f5ltub teist
\nKeel<\/strong>: inglise
\nHind<\/strong>: alates 800 rubla kuni $149,99 (kuidas \u00f5nnestub)
\nTase<\/strong>: algaja, keskmine<\/p>\n

10. PG Programm suurandmete inseneriteadusele (upGrad<\/a><\/noindex>)<\/p>\n

See kursus annab sulle \u00fclevaate, kuidas Aadhaar t\u00f6\u00f6tab, kuidas Facebook isikup\u00e4rastab uudistevoogu ning kuidas andmete inseneriteadust \u00fcldiselt rakendada. Peamised teemad h\u00f5lmavad andmete t\u00f6\u00f6tlemist (sh reaalajas t\u00f6\u00f6tlemist), MapReduce'i ja suurandmete anal\u00fc\u00fctikat.<\/p>\n

Kestus<\/strong>: 11 kuud
\nKeel<\/strong>: inglise
\nHind<\/strong>: ligikaudu $3000
\nTase<\/strong>: algtaseme<\/p>\n

11. Andmeanal\u00fc\u00fctiku amet (Skillbox<\/a><\/noindex>)<\/p>\n

Sa \u00f5pid programmeerimist Pythonis, tutvud n\u00e4rviv\u00f5rkude \u00f5petamise raamistikuga Tensorflow ja Keras. Omandad andmebaasid MongoDB, PostgreSQL, SQLite3, \u00f5pid t\u00f6\u00f6tama Pandas, NumPy ja Matplotlibi teekidega.<\/p>\n

Kestus<\/strong>: 300 tunni koolitus
\nKeel<\/strong>: vene
\nHind<\/strong>: esimesed kuus kuud tasuta, seej\u00e4rel 3900 rubla kuus
\nTase<\/strong>: algtaseme<\/p>\n

12. Andmeinsener 7.0 (New Professions Lab<\/a><\/noindex>)<\/p>\n

Teid ootab s\u00fcvitsi minek Kafka, HDFS, ClickHouse, Spark, Airflow, lambda- ja kappa-arhitektuuri. \u00d5pite, kuidas omavahel t\u00f6\u00f6riistu siduda, luues vooge ja saavutades baaslahenduse. \u00d5pinguteks on vajalik minimaalne teadmine Python 3-st.<\/p>\n

Kestus<\/strong>: 21 tundi, 7 n\u00e4dalat
\nKeel<\/strong>: vene
\nHind<\/strong>: 60 000 kuni 120 000 rubla
\nTase<\/strong>: algtaseme<\/p>\n

Kui soovite lisada veel \u00fche hea kursuse nimekirja, v\u00f5ite kommentaarides v\u00f5i otse s\u00f5numis kirjutada. T\u00e4iendame postitust. <\/p>\n

Mida veel huvitavat blogis lugeda Cloud4Y<\/a><\/noindex><\/b><\/p>\n

\u2192 Kuidas universumi geomeetria on?<\/a><\/noindex>
\n\u2192 Munaotsingud \u0160veitsi topograafilistel kaartidel<\/a><\/noindex>
\n\u2192 Lihtne ja v\u00e4ga l\u00fchike ajalugu 'pilvedest'<\/a><\/noindex>
\n\u2192 Kuidas pank 'katkestati'<\/a><\/noindex>
\n\u2192 1990. aastate arvutibr\u00e4ndid, osa 3, l\u00f5petamine<\/a><\/noindex><\/p>\n

Liituge meiega Telegram<\/a><\/noindex>-kanal, et mitte j\u00e4\u00e4da ilma j\u00e4rgmistest artikkelidest. Kirjutame mitte tihemini kui kaks korda n\u00e4dalas ja ainult olulistest asjadest. Lisaks tuletame meelde, et 21. mail kell 15:00 (Moscow) korraldame veebiseminar<\/a><\/noindex> teema kohta \u201e\u00c4rivaldkonna infoturbe tagamine kodust t\u00f6\u00f6tamisel\u201c. Kui soovite m\u00f5ista, kuidas kaitsta tundlikku ja ettev\u00f5tte infot t\u00f6\u00f6tajate kodus t\u00f6\u00f6tamise ajal \u2014 registreeruge kindlasti!
\n
Allikas: habr.com<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041f\u043e \u0434\u0430\u043d\u043d\u044b\u043c Statista, \u043a 2025 \u0433\u043e\u0434\u0443 \u043e\u0431\u044a\u0451\u043c \u0440\u044b\u043d\u043a\u0430 big data \u0432\u044b\u0440\u0430\u0441\u0442\u0435\u0442 \u0434\u043e 175 \u0437\u0435\u0442\u0430\u0431\u0430\u0439\u0442 \u043f\u0440\u043e\u0442\u0438\u0432 41 \u0432\u00a0 2019 (\u0433\u0440\u0430\u0444\u0438\u043a). \u0427\u0442\u043e\u0431\u044b \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0440\u0430\u0431\u043e\u0442\u0443 \u0432 \u044d\u0442\u043e\u0439 \u0441\u0444\u0435\u0440\u0435, \u043d\u0443\u0436\u043d\u043e \u043f\u043e\u043d\u0438\u043c\u0430\u0442\u044c, \u043a\u0430\u043a \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u0441 \u0431\u043e\u043b\u044c\u0448\u0438\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u043c\u0438, \u0445\u0440\u0430\u043d\u044f\u0449\u0438\u043c\u0438\u0441\u044f \u0432 \u043e\u0431\u043b\u0430\u043a\u0435. 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