{"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\/sl\/blog\/administrirovanie\/12-onlajn-kursov-po-data-engineering","title":{"rendered":"12 spletnih te\u010dajev o in\u017eeniringu podatkov","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

\"12
\nPo podatkih Statista bo do leta 2025 obseg trga velikih podatkov zrasel na 175 zettabajtov v primerjavi s 41 v letu 2019 (grafikon<\/a><\/noindex>). Da bi dobili delo na tem podro\u010dju, morate razumeti, kako delati z velikimi podatki, shranjenimi v oblaku. Cloud4Y je pripravil seznam 12 pla\u010danih in brezpla\u010dnih te\u010dajev o in\u017eeniringu podatkov, ki bodo raz\u0161irili va\u0161e znanje na tem podro\u010dju in lahko postanejo dober izhodi\u0161\u010dni kraj na poti do obla\u010dnih certifikatov.<\/i><\/a><\/noindex><\/p>\n

Predgovor<\/strong><\/p>\n

Kaj je strokovnjak za obdelavo podatkov (data engineer)? To je oseba, ki odgovarja za ustvarjanje in podporo arhitekture podatkov v projektu podatkovne znanosti. Njegove dol\u017enosti lahko vklju\u010dujejo zagotavljanje neprekinjenega pretoka podatkov med stre\u017enikom in aplikacijo, integracijo nove programske opreme za upravljanje podatkov, izbolj\u0161anje osnovnih procesov podatkov in ustvarjanje podatkovnih cevi.<\/p>\n

Obstaja ogromno tehnologij in orodij, ki jih mora obvladati data engineer, da bi delal z obla\u010dnimi ra\u010dunalni\u0161tvi, skladi\u0161\u010di podatkov, ETL (izvle\u010denje, transformacija, nalaganje) itd. \u0160tevilo potrebnih ve\u0161\u010din nenehno nara\u0161\u010da, zato mora data engineer redno dopolnjevati svoje znanje. Na na\u0161em seznamu so te\u010daji za za\u010detnike in izku\u0161ene strokovnjake. Izberite tisto, kar vam najbolj ustreza.<\/p>\n

1. \u00a0 Certifikacija Data Engineering Nanodegree (Udacity<\/a><\/noindex>)<\/p>\n

Nau\u010dili se boste oblikovati modele podatkov, ustvarjati skladi\u0161\u010da podatkov in jezera podatkov, avtomatizirati podatkovne cevi in delati z mno\u017eicami podatkovnih nizov. Na koncu programa boste preverili svoje nove ve\u0161\u010dine, ko boste zaklju\u010dili projekt Capstone.<\/p>\n

Trajanje<\/strong>: 5 mesecev, 5 ur na teden
\nJezik<\/strong>: angle\u0161\u010dina
\nCena<\/strong>: $1695
\nRaven<\/strong>: za\u010detni<\/p>\n

2. \u00a0 Certifikacija Become a Data Engineer (Coursera<\/a><\/noindex>)<\/p>\n

U\u010dijo od osnov. Lahko se postopoma razvijate z uporabo predavanj in prakti\u010dnih projektov za izbolj\u0161anje svojih ve\u0161\u010din. Ob koncu u\u010denja boste pripravljeni delati z ML in velikimi podatki. Priporo\u010dljivo je, da znate Python vsaj na minimalni ravni.<\/p>\n

Trajanje<\/strong>: 8 mesecev, 10 ur na teden
\nJezik<\/strong>: angle\u0161\u010dina
\nCena<\/strong>\ud83d\ude15
\nRaven<\/strong>: za\u010detni<\/p>\n

3. \u00a0 Postanite in\u017eenir podatkov: obvladovanje konceptov (LinkedIn Learning<\/a><\/noindex>)<\/p>\n

Razvili boste ve\u0161\u010dine na\u010drtovanja podatkov in DevOps, nau\u010dili se boste ustvarjati aplikacije za velike podatke, ustvarjati podatkovne cevi, obdelovati aplikacije v realnem \u010dasu z uporabo Hazelcast in podatkovne baze Hadoop<\/a><\/noindex>.<\/p>\n

Trajanje<\/strong>: odvisno od vas
\nJezik<\/strong>: angle\u0161\u010dina
\nCena<\/strong>: prvi mesec \u2014 brezpla\u010dno
\nRaven<\/strong>: za\u010detni<\/p>\n

4. \u00a0 \u00a0 \u00a0 Te\u010daji o in\u017eeniringu podatkov (edX<\/a><\/noindex>)<\/p>\n

Tu je zbrana serija programov, ki vas seznanijo z in\u017eeniringom podatkov in vas u\u010dijo razvoja analiti\u010dnih re\u0161itev. Te\u010daji so razdeljeni v kategorije glede na raven zahtevnosti, tako da lahko izberete enega glede na svojo raven izku\u0161enj. Med u\u010denjem se boste nau\u010dili uporabljati Spark, Hadoop, Azure in upravljati s podjetni\u0161kimi podatki.<\/p>\n

Trajanje<\/strong>: odvisno od vas
\nJezik<\/strong>: angle\u0161\u010dina
\nCena<\/strong>: odvisno od izbranega te\u010daja
\nRaven<\/strong>: za\u010detni, srednji, napreden<\/p>\n

5. \u00a0 \u00a0 \u00a0 In\u017eenir podatkov (DataQuest<\/a><\/noindex>)<\/p>\n

Ta te\u010daj je priporo\u010dljiv, \u010de imate izku\u0161nje z uporabo Pythona in \u017eelite poglobiti svoje znanje ter zgraditi kariero na podro\u010dju obdelave podatkov. Nau\u010dite se graditi podatkovne cevi z uporabo Pythona in pandas, nalagati velike nabor podatkov v bazo Postgres po \u010di\u0161\u010denju, pretvorbi in preverjanju.<\/p>\n

Trajanje<\/strong>: odvisno od vas
\nJezik<\/strong>: angle\u0161\u010dina
\nCena<\/strong>: odvisno od oblike naro\u010dnine
\nRaven<\/strong>: za\u010detni, srednji<\/p>\n

6. \u00a0 In\u017eeniring podatkov z Google Cloud (Coursera<\/a><\/noindex>)<\/p>\n

Ta te\u010daj vam bo pomagal pridobiti ve\u0161\u010dine, potrebne za zgraditi kariero na podro\u010dju obdelave velikih podatkov. Na primer, delo z BigQuery in Spark. Pridobili boste znanja, ki vam bodo koristila pri pripravi na priznano industrijsko certifikacijo Google Cloud Professional Data Engineer.<\/p>\n

Trajanje<\/strong>: 4 mesece
\nJezik<\/strong>: angle\u0161\u010dina
\nCena<\/strong>: trenutno brezpla\u010dno
\nRaven<\/strong>: za\u010detni, srednji<\/p>\n

7. \u00a0 In\u017eeniring podatkov, veliki podatki na Google Cloud Platform (Coursera<\/a><\/noindex>)<\/p>\n

Zanimiv te\u010daj, ki ponuja prakti\u010dna znanja o sistemih obdelave podatkov v GCP. Med poukom se boste nau\u010dili, kako oblikovati sisteme, preden se lotite razvojnega procesa. Poleg tega boste analizirali tako strukturirane kot nestrukturirane podatke, uporabljali avtomatsko skaliranje in uporabljali metode ML za pridobivanje informacij.<\/p>\n

Trajanje<\/strong>: 3 mesece
\nJezik<\/strong>: angle\u0161\u010dina
\nCena<\/strong>: trenutno brezpla\u010dno
\nRaven<\/strong>: za\u010detni, srednji<\/p>\n

8. \u00a0 UC San Diego: Specializacija za velike podatke (Coursera<\/a><\/noindex>)<\/p>\n

Te\u010daj temelji na uporabi infrastrukture Hadoop in Spark ter uporabi teh metod obdelave velikih podatkov v procesu ML. Seznanili se boste z osnovami uporabe Hadoop s MapReduce, Spark, Pig in Hive. Nau\u010dite se, kako graditi napovedne modele in uporabljati analitiko grafov za modeliranje problemov. Opozoriti moramo, da za ta te\u010daj ni potrebna izku\u0161nja s programiranjem.<\/p>\n

Trajanje<\/strong>: 8 mesecev po 10 ur na teden
\nJezik<\/strong>: angle\u0161\u010dina
\nCena<\/strong>: trenutno brezpla\u010dno
\nRaven<\/strong>: za\u010detni<\/p>\n

9. \u00a0 Obvladovanje velikih podatkov z Apache Spark in Pythonom (Udemy<\/a><\/noindex>)<\/p>\n

Nau\u010dite kako koristiti streaming strukture i podatkovne frejmove u Spark3, steknite uvid u kori\u0161\u0107enje Amazonovog Elastic MapReduce servisa za rad sa va\u0161im Hadoop klasterom. Nau\u010dite kako identifikovati probleme prilikom analize velikih podataka i razumite kako GraphX biblioteke funkcioni\u0161u u mre\u017enoj analizi i kako mo\u017eete koristiti MLlib.<\/p>\n

Trajanje<\/strong>: odvisno od vas
\nJezik<\/strong>: angle\u0161\u010dina
\nCena<\/strong>: od 800 rubalja do $149,99 (kako bude)
\nRaven<\/strong>: za\u010detni, srednji<\/p>\n

10. \u00a0 PG Program u Big Data In\u017eenjeringu (upGrad<\/a><\/noindex>)<\/p>\n

Ovaj kurs \u0107e vam dati uvid u to kako funkcioni\u0161e Aadhaar, kako Facebook personalizuje news feed i kako se uop\u0161te mo\u017ee koristiti Data Engineering. Klju\u010dne teme bi\u0107e obrada podataka (uklju\u010duju\u0107i obradu u realnom vremenu), MapReduce, analitika velikih podataka.<\/p>\n

Trajanje<\/strong>: 11 meseci
\nJezik<\/strong>: angle\u0161\u010dina
\nCena<\/strong>: oko $3000
\nRaven<\/strong>: za\u010detni<\/p>\n

11. \u00a0 Profesija Data Scientist (Skillbox<\/a><\/noindex>)<\/p>\n

Nau\u010di\u0107ete da programirate u Pythonu, upozna\u0107ete se sa framework-ima za obuku neuronskih mre\u017ea Tensorflow i Keras. Savlada\u0107ete baze podataka MongoDB, PostgreSQL, SQLite3, nau\u010di\u0107ete rad sa bibliotekama Pandas, NumPy i Matplotlib.<\/p>\n

Trajanje<\/strong>: 300 \u010dasova obuke
\nJezik<\/strong>: ruski
\nCena<\/strong>: prva polugodi\u0161ta besplatno, zatim 3900 rubalja mese\u010dno
\nRaven<\/strong>: za\u010detni<\/p>\n

12. \u00a0 Data Engineer 7.0 (New Professions Lab<\/a><\/noindex>)<\/p>\n

O\u010dekuje vas dubinsko prou\u010davanje Kafka, HDFS, ClickHouse, Spark, Airflow, lambda arhitektura i kappa arhitektura. Nau\u010di\u0107ete kako povezati alate jedne s drugima, formiraju\u0107i pipelajne, dobivaju\u0107i baseline re\u0161enje. Za u\u010denje su potrebna minimalna znanja iz Pythona 3.<\/p>\n

Trajanje<\/strong>: 21 \u010das, 7 nedelja
\nJezik<\/strong>: ruski
\nCena<\/strong>: od 60 000 do 120 000 rubalja
\nRaven<\/strong>: za\u010detni<\/p>\n

Ako \u017eelite da dodate jo\u0161 jedan dobar kurs na listu, slobodno se javite u komentarima ili u privatnim porukama. Dopa\u0161\u0107emo post. <\/p>\n

Kaj \u0161e koristnega lahko preberete v blogu Cloud4Y<\/a><\/noindex><\/b><\/p>\n

\u2192 \u041a\u043e\u0458\u0430 \u0458\u0435 \u0433\u0435\u043e\u043c\u0435\u0442\u0440\u0438\u0458\u0430 \u0423\u043d\u0438\u0432\u0435\u0440\u0437\u0443\u043c\u0430?<\/a><\/noindex>
\n\u2192 \u041f\u0430\u0441\u0445\u0430\u043b\u043a\u0435 \u043d\u0430 \u0442\u043e\u043f\u043e\u0433\u0440\u0430\u0444\u0441\u043a\u0438\u043c \u043a\u0430\u0440\u0442\u0430\u043c\u0430 \u0428\u0432\u0430\u0458\u0446\u0430\u0440\u0441\u043a\u0435<\/a><\/noindex>
\n\u2192 Poenostavljena in zelo kratka zgodovina razvoja \u00bboblaka\u00ab<\/a><\/noindex>
\n\u2192 \u041a\u0430\u043a\u043e \u0441\u0435 \u0431\u0430\u043d\u043a \u0441\u043b\u043e\u043c\u0438\u043e<\/a><\/noindex>
\n\u2192 \u041a\u043e\u043c\u043f\u0458\u0443\u0442\u0435\u0440\u0441\u043a\u0438 \u0431\u0440\u0435\u043d\u0434\u043e\u0432\u0438 90-\u0438\u0445, \u0447.3, \u0437\u0430\u0432\u0440\u0448\u043d\u0430<\/a><\/noindex><\/p>\n

Prijavite se na na\u0161 Telegram<\/a><\/noindex>-kanal, da ne propustite slede\u0107i \u010dlanak. Pi\u0161emo ne \u010de\u0161\u0107e od dva puta nedeljno i samo o va\u017enim temama. Tako\u0111e vas podse\u0107amo da \u0107emo 21. maja u 15:00 (MSK) odr\u017eati webinar<\/a><\/noindex> na temu \u201eInformaciona sigurnost biznisa prilikom rada na daljinu\u201c. Ako \u017eelite da razumete kako da za\u0161titite osetljive i korporativne informacije prilikom rada zaposlenih od ku\u0107e \u2014 registrujte se!
\n
Izvor: 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. Cloud4Y \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u0438\u043b \u0441\u043f\u0438\u0441\u043e\u043a \u0438\u0437 12 \u043f\u043b\u0430\u0442\u043d\u044b\u0445 \u0438 \u0431\u0435\u0441\u043f\u043b\u0430\u0442\u043d\u044b\u0445 \u043a\u0443\u0440\u0441\u043e\u0432 \u043f\u043e \u0438\u043d\u0436\u0438\u043d\u0438\u0440\u0438\u043d\u0433\u0443 \u0434\u0430\u043d\u043d\u044b\u0445, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0440\u0430\u0441\u0448\u0438\u0440\u044f\u0442 \u0432\u0430\u0448\u0438 \u0437\u043d\u0430\u043d\u0438\u044f \u0432 \u044d\u0442\u043e\u0439 \u0441\u0444\u0435\u0440\u0435 \u0438 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":81856,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-81855","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd4712 online kurseva o Data Engineeringu | ProHoster","description":"Prema podacima Statista, do 2025. godine obim tr\u017ei\u0161ta big 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