{"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\/lv\/blog\/administrirovanie\/12-onlajn-kursov-po-data-engineering","title":{"rendered":"12 tie\u0161saistes kursi par datu in\u017eenieriju","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

\"12
\nSaska\u0146\u0101 ar Statista datiem, l\u012bdz 2025. gadam big data tirgus apjoms pieaugs l\u012bdz 175 zettabaitiem, sal\u012bdzinot ar 41 2019. gad\u0101 (grafiks<\/a><\/noindex>). Lai ieg\u016btu darbu \u0161aj\u0101 jom\u0101, ir j\u0101izprot, k\u0101 str\u0101d\u0101t ar lieliem datiem, kas tiek glab\u0101ti m\u0101ko\u0146os. Cloud4Y ir sagatavojis sarakstu ar 12 maksas un bezmaksas datu in\u017eenierijas kursiem, kas papla\u0161in\u0101s j\u016bsu zin\u0101\u0161anas \u0161aj\u0101 jom\u0101 un var k\u013c\u016bt par labu s\u0101kumpunktu ce\u013c\u0101 uz m\u0101ko\u0146a sertifik\u0101cij\u0101m.<\/i><\/a><\/noindex><\/p>\n

Ievads<\/strong><\/p>\n

Kas ir datu apstr\u0101des speci\u0101lists (data engineer)? Tas ir cilv\u0113ks, kur\u0161 atbild par datu arhitekt\u016bras izveidi un uztur\u0113\u0161anu Data Science projekt\u0101. Vi\u0146a pien\u0101kumos var b\u016bt nodro\u0161in\u0101t nep\u0101rtrauktu datu pl\u016bsmu starp serveri un lietojumprogrammu, integr\u0113t jaunu programmat\u016bru datu p\u0101rvald\u012bbai, uzlabot pamata datu procesus un izveidot datu konveijerus.<\/p>\n

Eksist\u0113 milz\u012bgs daudzums tehnolo\u0123iju un r\u012bku, ar kuriem j\u0101dodas datu in\u017eenierim, lai str\u0101d\u0101tu ar m\u0101ko\u0146datoriem, datu noliktav\u0101m, ETL (izguve, transform\u0101cija, iel\u0101de) un citiem. Turkl\u0101t nepiecie\u0161amo prasmju skaits nep\u0101rtraukti pieaug, t\u0101p\u0113c datu in\u017eenierim ir regul\u0101ri j\u0101papla\u0161ina savas zin\u0101\u0161anas. M\u016bsu sarakst\u0101 ir kursi gan ies\u0101c\u0113jiem, gan pieredz\u0113ju\u0161iem speci\u0101listiem. Izv\u0113lieties to, kas vislab\u0101k atbilst jums.<\/p>\n

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

J\u016bs apg\u016bsiet datu mode\u013cu projekt\u0113\u0161anu, datu noliktavu un datu ezeru izveidi, datu konveijeru automatiz\u0101ciju un darbu ar datu kop\u0101m. Programmas beig\u0101s j\u016bs p\u0101rbaud\u012bsit savas jaun\u0101s prasmes, pabeidzot Capstone projektu.<\/p>\n

Ilgums<\/strong>: 5 m\u0113ne\u0161i, 5 stundas ned\u0113\u013c\u0101
\nValoda<\/strong>: ang\u013cu valod\u0101
\nCena<\/strong>: $1695
\nL\u012bmenis<\/strong>: s\u0101kuma l\u012bmenis<\/p>\n

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

M\u0101ca no pamatiem. J\u016bs varat pak\u0101peniski att\u012bst\u012bties, izmantojot lekcijas un praktiskos projektus, lai str\u0101d\u0101tu pie sav\u0101m prasm\u0113m. M\u0101c\u012bbu beig\u0101s j\u016bs b\u016bsiet gatavs str\u0101d\u0101t ar ML un lieliem datiem. Ieteicams vismaz pamatzin\u0101\u0161anu l\u012bmen\u012b zin\u0101t Python.<\/p>\n

Ilgums<\/strong>: 8 m\u0113ne\u0161i, 10 stundas ned\u0113\u013c\u0101
\nValoda<\/strong>: ang\u013cu valod\u0101
\nCena<\/strong>\ud83d\ude15
\nL\u012bmenis<\/strong>: s\u0101kuma l\u012bmenis<\/p>\n

3. \u00a0 Become a Data Engineer: Mastering the Concepts (LinkedIn Learning<\/a><\/noindex>)<\/p>\n

J\u016bs att\u012bst\u012bsiet datu projekt\u0113\u0161anas prasmes un DevOps prasmes, m\u0101c\u012bsities izveidot Big Data lietojumprogrammas, veidot datu konveijerus, apstr\u0101d\u0101t re\u0101llaika lietojumprogrammas, izmantojot Hazelcast un datub\u0101zi Hadoop<\/a><\/noindex>.<\/p>\n

Ilgums<\/strong>: atkar\u012bgs no jums
\nValoda<\/strong>: ang\u013cu valod\u0101
\nCena<\/strong>: pirmais m\u0113nesis \u2014 bez maksas
\nL\u012bmenis<\/strong>: s\u0101kuma l\u012bmenis<\/p>\n

4. \u00a0 \u00a0 \u00a0 Data Engineering Courses (edX<\/a><\/noindex>)<\/p>\n

\u0160eit ir apkopota programma, kas iepaz\u012bstina j\u016bs ar datu in\u017eenieriju un m\u0101ca izstr\u0101d\u0101t anal\u012btiskos risin\u0101jumus. Kursi ir sadal\u012bti kategorij\u0101s atkar\u012bb\u0101 no sare\u017e\u0123\u012bt\u012bbas l\u012bme\u0146a, t\u0101p\u0113c varat izv\u0113l\u0113ties vienu atbilsto\u0161i sav\u0101m prasm\u0113m. M\u0101c\u012bbu procesa laik\u0101 j\u016bs iem\u0101c\u012bsieties izmantot Spark, Hadoop, Azure un p\u0101rvald\u012bt uz\u0146\u0113muma datus.<\/p>\n

Ilgums<\/strong>: atkar\u012bgs no jums
\nValoda<\/strong>: ang\u013cu valod\u0101
\nCena<\/strong>: atkar\u012bb\u0101 no izv\u0113l\u0113t\u0101 kursa
\nL\u012bmenis<\/strong>: s\u0101kotn\u0113jais, vid\u0113jais, uzlabotais<\/p>\n

5. Datu in\u017eenieris (DataQuest<\/a><\/noindex>)<\/p>\n

\u0160o kursu ir v\u0113rts izv\u0113l\u0113ties, ja jums ir pieredze ar Python un v\u0113laties padzi\u013cin\u0101t savas zin\u0101\u0161anas un veidot karjeru datu apstr\u0101des speci\u0101lista jom\u0101. J\u016bs iem\u0101c\u012bsieties veidot datu cauru\u013cvadus, izmantojot Python un pandas, k\u0101 ar\u012b lejupiel\u0101d\u0113t lielus datu komplektus PostgreSQL datub\u0101z\u0113 p\u0113c datu not\u012br\u012b\u0161anas, p\u0101rv\u0113r\u0161anas un p\u0101rbaudes.<\/p>\n

Ilgums<\/strong>: atkar\u012bgs no jums
\nValoda<\/strong>: ang\u013cu valod\u0101
\nCena<\/strong>: atkar\u012bb\u0101 no abon\u0113\u0161anas veida
\nL\u012bmenis<\/strong>: s\u0101kotn\u0113jais, vid\u0113jais<\/p>\n

6. Datu in\u017eenierija ar Google Cloud (Coursera<\/a><\/noindex>)<\/p>\n

\u0160is kurss pal\u012bdz\u0113s jums ieg\u016bt prasmes, kas nepiecie\u0161amas karjeras izveidei darb\u0101 ar lieliem datiem. Piem\u0113ram, darbs ar BigQuery, Spark. J\u016bs ieg\u016bsiet zin\u0101\u0161anas, kas noder\u0113s, gatavojoties nozar\u0113 atz\u012btai Google Cloud Professional Data Engineer sertifik\u0101cijai.<\/p>\n

Ilgums<\/strong>: 4 m\u0113ne\u0161i
\nValoda<\/strong>: ang\u013cu valod\u0101
\nCena<\/strong>: pagaid\u0101m bez maksas
\nL\u012bmenis<\/strong>: s\u0101kotn\u0113jais, vid\u0113jais<\/p>\n

7. Datu in\u017eenierija, lielie dati Google Cloud Platform (Coursera<\/a><\/noindex>)<\/p>\n

Interesants kurss, kas sniedz praktiskas zin\u0101\u0161anas par datu apstr\u0101des sist\u0113m\u0101m GCP. Nodarb\u012bbu laik\u0101 j\u016bs uzzin\u0101siet, k\u0101 projekt\u0113t sist\u0113mas pirms uzs\u0101kt izstr\u0101des procesu. Turkl\u0101t j\u016bs ar\u012b analiz\u0113siet gan struktur\u0113tus, gan nestruktur\u0113tus datus, pielietosiet autom\u0101tisku m\u0113rogo\u0161anu un lietosiet ML metodes, lai ieg\u016btu inform\u0101ciju.<\/p>\n

Ilgums<\/strong>: 3 m\u0113ne\u0161i
\nValoda<\/strong>: ang\u013cu valod\u0101
\nCena<\/strong>: pagaid\u0101m bez maksas
\nL\u012bmenis<\/strong>: s\u0101kotn\u0113jais, vid\u0113jais<\/p>\n

8. UC San Diego: Lielie datu specializ\u0101cija (Coursera<\/a><\/noindex>)<\/p>\n

Kurss balst\u012bts uz Hadoop un Spark infrastrukt\u016bras izmanto\u0161anu un \u0161o lielo datu apstr\u0101des meto\u017eu pielieto\u0161anu ML proces\u0101. J\u016bs iepaz\u012bsieties ar Hadoop izmanto\u0161anas pamatiem ar MapReduce, Spark, Pig un Hive. Uzzin\u0101siet, k\u0101 var veidot progno\u017eu mode\u013cus un izmantot grafu anal\u012btiku probl\u0113mu model\u0113\u0161anai. J\u0101atz\u012bm\u0113, ka \u0161im kursam nav nepiecie\u0161ama programm\u0113\u0161anas pieredze.<\/p>\n

Ilgums<\/strong>: 8 m\u0113ne\u0161i pa 10 stund\u0101m ned\u0113\u013c\u0101
\nValoda<\/strong>: ang\u013cu valod\u0101
\nCena<\/strong>: pagaid\u0101m bez maksas
\nL\u012bmenis<\/strong>: s\u0101kuma l\u012bmenis<\/p>\n

9. Lielu datu apstr\u0101de ar Apache Spark un Python (Udemy<\/a><\/noindex>)<\/p>\n

J\u016bs uzzin\u0101siet, k\u0101 izmantot straum\u0113\u0161anas strukt\u016bru un datu r\u0101mjus Spark3, ieg\u016bsiet ieskatu par to, k\u0101 izmantot Amazon Elastic MapReduce pakalpojumu, str\u0101d\u0101jot ar savu Hadoop klasteri. Iem\u0101c\u012bsieties identific\u0113t probl\u0113mas, veicot lielo datu anal\u012bzi, un saprat\u012bsiet, k\u0101 GraphX bibliot\u0113kas darbojas ar t\u012bkla anal\u012bzi un k\u0101 varat izmantot MLlib.<\/p>\n

Ilgums<\/strong>: atkar\u012bgs no jums
\nValoda<\/strong>: ang\u013cu valod\u0101
\nCena<\/strong>: no 800 rub\u013ciem l\u012bdz 149,99 USD (atkar\u012bb\u0101 no veiksmes)
\nL\u012bmenis<\/strong>: s\u0101kotn\u0113jais, vid\u0113jais<\/p>\n

10. PG programma lielo datu in\u017eenierij\u0101 (upGrad<\/a><\/noindex>)<\/p>\n

\u0160is kurss sniegs jums ieskatu, k\u0101 darbojas Aadhaar, k\u0101 Facebook piel\u0101go zi\u0146u pl\u016bsmu un k\u0101 visp\u0101r var izmantot datu in\u017eenieriju. Galvenie temati b\u016bs datu apstr\u0101de (ieskaitot re\u0101llaika apstr\u0101di), MapReduce, lielo datu anal\u012btika.<\/p>\n

Ilgums<\/strong>: 11 m\u0113ne\u0161i
\nValoda<\/strong>: ang\u013cu valod\u0101
\nCena<\/strong>: apm\u0113ram 3000 USD
\nL\u012bmenis<\/strong>: s\u0101kuma l\u012bmenis<\/p>\n

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

J\u016bs iem\u0101c\u012bsieties programm\u0113t Python valod\u0101, apg\u016bsiet neironu t\u012bklu m\u0101c\u012b\u0161an\u0101s r\u0101mjus Tensorflow un Keras. Iem\u0101c\u012bsieties str\u0101d\u0101t ar datub\u0101z\u0113m MongoDB, PostgreSQL, SQLite3, k\u0101 ar\u012b apg\u016bsiet Pandas, NumPy un Matplotlib bibliot\u0113kas.<\/p>\n

Ilgums<\/strong>: 300 m\u0101c\u012bbu stundas
\nValoda<\/strong>: krievu valod\u0101
\nCena<\/strong>: pirmos se\u0161us m\u0113ne\u0161us bez maksas, p\u0113c tam 3900 rub\u013ci m\u0113nes\u012b
\nL\u012bmenis<\/strong>: s\u0101kuma l\u012bmenis<\/p>\n

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

J\u016bs gaida dzi\u013c\u0161 ieskats Kafka, HDFS, ClickHouse, Spark, Airflow, lambda un kappa arhitekt\u016br\u0101. J\u016bs iem\u0101c\u012bsieties savienot r\u012bkus sav\u0101 starp\u0101, izveidojot cauru\u013cvadu un ieg\u016bstot pamata risin\u0101jumu. M\u0101c\u012bb\u0101m nepiecie\u0161amas pamatzin\u0101\u0161anas par Python 3.<\/p>\n

Ilgums<\/strong>: 21 nodarb\u012bba, 7 ned\u0113\u013cas
\nValoda<\/strong>: krievu valod\u0101
\nCena<\/strong>: no 60 000 l\u012bdz 120 000 rub\u013ciem
\nL\u012bmenis<\/strong>: s\u0101kuma l\u012bmenis<\/p>\n

Ja jums ir v\u0113lme pievienot sarakstam v\u0113l vienu labu kursu, varat atst\u0101t koment\u0101rus vai zi\u0146as. M\u0113s papildin\u0101sim ierakstu. <\/p>\n

Ko v\u0113l noder\u012bgu var izlas\u012bt emu\u0101r\u0101 Cloud4Y<\/a><\/noindex><\/b><\/p>\n

\u2192 K\u0101da ir Visuma \u0123eometrija?<\/a><\/noindex>
\n\u2192 Lieldienu olas \u0160veices topogr\u0101fiskaj\u0101s kart\u0113s<\/a><\/noindex>
\n\u2192 Vienk\u0101r\u0161a un \u013coti \u012bsa st\u0101sts par \"m\u0101kon\u0113m\"<\/a><\/noindex>
\n\u2192 K\u0101 'sal\u016bza' banka<\/a><\/noindex>
\n\u2192 Datoru z\u012bmoli 90. gados, 3. da\u013ca, nosl\u0113dzo\u0161\u0101<\/a><\/noindex><\/p>\n

Piesakieties m\u016bsu Telegram<\/a><\/noindex>-kan\u0101ls, lai nepalaistu gar\u0101m n\u0101kamo rakstu. Rakst\u0101m ne bie\u017e\u0101k k\u0101 divas reizes ned\u0113\u013c\u0101 un tikai par liet\u0101m. Ar\u012b atg\u0101din\u0101m, ka 21. maij\u0101 plkst. 15:00 (MSK) r\u012bkosim webin\u0101rs<\/a><\/noindex> temat\u0101 \u201eUz\u0146\u0113m\u0113jdarb\u012bbas inform\u0101cijas dro\u0161\u012bba, str\u0101d\u0101jot att\u0101lin\u0101ti\u201d. Ja v\u0113laties saprast, k\u0101 aizsarg\u0101t sensit\u012bvu un korporat\u012bvo inform\u0101ciju, str\u0101d\u0101jot darbiniekiem no m\u0101j\u0101m \u2014 re\u0123istr\u0113jieties!
\n
Avots: 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 tie\u0161saistes kursi par Datu in\u017eenieriju | ProHoster","description":"Saska\u0146\u0101 ar Statista datiem, l\u012bdz 2025. gadam lielo datu tirgus 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