{"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\/cs\/blog\/administrirovanie\/12-onlajn-kursov-po-data-engineering","title":{"rendered":"12 online kurz\u016f v oblasti Data Engineering","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

\"12
\nPodle \u00fadaj\u016f Statista se do roku 2025 objem trhu s big data zv\u00fd\u0161\u00ed na 175 zettabajt\u016f ve srovn\u00e1n\u00ed s 41 v roce 2019 (graf<\/a><\/noindex>). Abyste z\u00edskali pr\u00e1ci v tomto oboru, mus\u00edte rozum\u011bt tomu, jak pracovat s velk\u00fdmi daty ulo\u017een\u00fdmi v cloudu. Cloud4Y p\u0159ipravil seznam 12 placen\u00fdch a bezplatn\u00fdch kurz\u016f o in\u017een\u00fdrstv\u00ed dat, kter\u00e9 roz\u0161\u00ed\u0159\u00ed va\u0161e znalosti v t\u00e9to oblasti a mohou b\u00fdt dobr\u00fdm v\u00fdchoz\u00edm bodem k cloudov\u00fdm certifikac\u00edm.<\/i><\/a><\/noindex><\/p>\n

\u00davod<\/strong><\/p>\n

Co je to specialistka na zpracov\u00e1n\u00ed dat (data engineer)? Je to osoba, kter\u00e1 je odpov\u011bdn\u00e1 za vytv\u00e1\u0159en\u00ed a udr\u017eov\u00e1n\u00ed architektury dat v projektu Data Science. Jeho \u00fakoly mohou zahrnovat zaji\u0161t\u011bn\u00ed nep\u0159etr\u017eit\u00e9ho toku dat mezi serverem a aplikac\u00ed, integraci nov\u00e9ho softwaru pro \u0159\u00edzen\u00ed dat, zdokonalov\u00e1n\u00ed z\u00e1kladn\u00edch proces\u016f dat a vytv\u00e1\u0159en\u00ed datov\u00fdch pipeline.<\/p>\n

Existuje obrovsk\u00e9 mno\u017estv\u00ed technologi\u00ed a n\u00e1stroj\u016f, kter\u00fdmi by m\u011bl data engineer ovl\u00e1dat, aby pracoval s cloudov\u00fdm v\u00fdpo\u010detn\u00edm v\u00fdkonem, datov\u00fdmi sklady, ETL (extraction, transformation, loading) a dal\u0161\u00edmi. Nav\u00edc po\u010det po\u017eadovan\u00fdch dovednost\u00ed neust\u00e1le roste, a proto je pro data engineera nezbytn\u00e9 pravideln\u011b obohacovat sv\u00e9 znalosti. V na\u0161em seznamu jsou kurzy pro za\u010d\u00e1te\u010dn\u00edky i pokro\u010dil\u00e9 specialisty. Vyberte si, co v\u00e1m nejl\u00e9pe vyhovuje.<\/p>\n

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

Nau\u010d\u00edte se navrhovat datov\u00e9 modely, vytv\u00e1\u0159et datov\u00e9 sklady a datov\u00e1 jezera, automatizovat datov\u00e9 pipeline a pracovat s mno\u017estv\u00edm datov\u00fdch sad. Na konci programu si ov\u011b\u0159\u00edte sv\u00e9 nov\u00e9 dovednosti, kdy\u017e dokon\u010d\u00edte projekt Capstone.<\/p>\n

D\u00e9lka<\/strong>: 5 m\u011bs\u00edc\u016f, 5 hodin t\u00fddn\u011b
\nJazyk<\/strong>: angli\u010dtina
\nCena<\/strong>: $1695
\n\u00darove\u0148<\/strong>: za\u010d\u00e1te\u010dn\u00edk<\/p>\n

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

Za\u010d\u00edn\u00e1 od z\u00e1klad\u016f. M\u016f\u017eete se postupn\u011b rozv\u00edjet pomoc\u00ed p\u0159edn\u00e1\u0161ek a praktick\u00fdch projekt\u016f k rozvoji sv\u00fdch dovednost\u00ed. Na konci kurzu budete p\u0159ipraveni pracovat s ML a velk\u00fdmi daty. Doporu\u010duje se m\u00edt alespo\u0148 z\u00e1kladn\u00ed znalosti Pythonu.<\/p>\n

D\u00e9lka<\/strong>: 8 m\u011bs\u00edc\u016f, 10 hodin t\u00fddn\u011b
\nJazyk<\/strong>: angli\u010dtina
\nCena<\/strong>\ud83d\ude15
\n\u00darove\u0148<\/strong>: za\u010d\u00e1te\u010dn\u00edk<\/p>\n

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

Rozvinete dovednosti navrhov\u00e1n\u00ed dat a dovednosti DevOps, nau\u010d\u00edte se vytv\u00e1\u0159et aplikace pro Big Data, vytv\u00e1\u0159et datov\u00e9 pipeline, zpracov\u00e1vat aplikace v re\u00e1ln\u00e9m \u010dase s vyu\u017eit\u00edm Hazelcast a datab\u00e1ze. Hadoop<\/a><\/noindex>.<\/p>\n

D\u00e9lka<\/strong>: z\u00e1le\u017e\u00ed na v\u00e1s
\nJazyk<\/strong>: angli\u010dtina
\nCena<\/strong>: prvn\u00ed m\u011bs\u00edc \u2014 zdarma
\n\u00darove\u0148<\/strong>: za\u010d\u00e1te\u010dn\u00edk<\/p>\n

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

Toto je soubor program\u016f, kter\u00e9 v\u00e1s seznamuj\u00ed s datov\u00fdm in\u017een\u00fdrstv\u00edm a u\u010d\u00ed v\u00e1s vyv\u00edjet analytick\u00e1 \u0159e\u0161en\u00ed. Kurzy jsou rozd\u011bleny do kategori\u00ed podle \u00farovn\u011b obt\u00ed\u017enosti, tak\u017ee si m\u016f\u017eete vybrat jeden podle sv\u00e9 \u00farovn\u011b zku\u0161enost\u00ed. B\u011bhem u\u010den\u00ed se nau\u010d\u00edte pou\u017e\u00edvat Spark, Hadoop, Azure a spravovat podnikov\u00e1 data.<\/p>\n

D\u00e9lka<\/strong>: z\u00e1le\u017e\u00ed na v\u00e1s
\nJazyk<\/strong>: angli\u010dtina
\nCena<\/strong>: z\u00e1vis\u00ed na zvolen\u00e9m kurzu
\n\u00darove\u0148<\/strong>: za\u010d\u00e1te\u010dn\u00edk, st\u0159edn\u011b pokro\u010dil\u00fd, pokro\u010dil\u00fd<\/p>\n

5. \u00a0 \u00a0 \u00a0 Datov\u00fd in\u017een\u00fdr (DataQuest<\/a><\/noindex>)<\/p>\n

Tento kurz je vhodn\u00fd, pokud m\u00e1te zku\u0161enosti s Pythonem a chcete prohloubit sv\u00e9 znalosti a vybudovat kari\u00e9ru jako specialista na zpracov\u00e1n\u00ed dat. Nau\u010d\u00edte se vytv\u00e1\u0159et datov\u00e9 toky pomoc\u00ed Pythonu a knihovny pandas, na\u010d\u00edtat velk\u00e9 datov\u00e9 sady do datab\u00e1ze Postgres po jejich \u010di\u0161t\u011bn\u00ed, transformaci a kontrole.<\/p>\n

D\u00e9lka<\/strong>: z\u00e1le\u017e\u00ed na v\u00e1s
\nJazyk<\/strong>: angli\u010dtina
\nCena<\/strong>: z\u00e1vis\u00ed na typu p\u0159edplatn\u00e9ho
\n\u00darove\u0148<\/strong>: za\u010d\u00e1te\u010dn\u00edk, st\u0159edn\u011b pokro\u010dil\u00fd<\/p>\n

6. \u00a0 Datov\u00e9 in\u017een\u00fdrstv\u00ed s Google Cloud (Coursera<\/a><\/noindex>)<\/p>\n

Tento kurz v\u00e1m pom\u016f\u017ee nab\u00fdt dovednosti pot\u0159ebn\u00e9 k budov\u00e1n\u00ed kari\u00e9ry v oblasti pr\u00e1ce s velk\u00fdmi daty. Nap\u0159\u00edklad pr\u00e1ce s BigQuery, Spark. Z\u00edsk\u00e1te znalosti, kter\u00e9 se hod\u00ed pro p\u0159\u00edpravu na uzn\u00e1vanou certifikaci Google Cloud Professional Data Engineer.<\/p>\n

D\u00e9lka<\/strong>: 4 m\u011bs\u00edce
\nJazyk<\/strong>: angli\u010dtina
\nCena<\/strong>: zat\u00edm zdarma
\n\u00darove\u0148<\/strong>: za\u010d\u00e1te\u010dn\u00edk, st\u0159edn\u011b pokro\u010dil\u00fd<\/p>\n

7. \u00a0 Datov\u00e9 in\u017een\u00fdrstv\u00ed, velk\u00e1 data na Google Cloud Platform (Coursera<\/a><\/noindex>)<\/p>\n

Zaj\u00edmav\u00fd kurz, kter\u00fd poskytuje praktick\u00e9 znalosti o syst\u00e9mech zpracov\u00e1n\u00ed dat v GCP. B\u011bhem lekc\u00ed se nau\u010d\u00edte navrhovat syst\u00e9my, ne\u017e p\u0159istoup\u00edte k procesu v\u00fdvoje. Krom\u011b toho budete tak\u00e9 analyzovat strukturovan\u00e1 i nestrukturovan\u00e1 data, vyu\u017e\u00edvat automatick\u00e9 \u0161k\u00e1lov\u00e1n\u00ed a aplikovat metody strojov\u00e9ho u\u010den\u00ed pro extrakci informac\u00ed.<\/p>\n

D\u00e9lka<\/strong>: 3 m\u011bs\u00edce
\nJazyk<\/strong>: angli\u010dtina
\nCena<\/strong>: zat\u00edm zdarma
\n\u00darove\u0148<\/strong>: za\u010d\u00e1te\u010dn\u00edk, st\u0159edn\u011b pokro\u010dil\u00fd<\/p>\n

8. \u00a0 UC San Diego: Specializace na velk\u00e1 data (Coursera<\/a><\/noindex>)<\/p>\n

Kurz je zam\u011b\u0159en na vyu\u017e\u00edv\u00e1n\u00ed infrastruktury Hadoop a Spark a aplikaci t\u011bchto metod zpracov\u00e1n\u00ed velk\u00fdch dat v procesu strojov\u00e9ho u\u010den\u00ed. Sezn\u00e1m\u00edte se se z\u00e1klady pou\u017e\u00edv\u00e1n\u00ed Hadoopu s MapReduce, Spark, Pig a Hive. Nau\u010d\u00edte se, jak vytv\u00e1\u0159et prediktivn\u00ed modely a pou\u017e\u00edvat anal\u00fdzu graf\u016f k modelov\u00e1n\u00ed probl\u00e9m\u016f. Je t\u0159eba zm\u00ednit, \u017ee pro tento kurz nen\u00ed pot\u0159ebn\u00e1 \u017e\u00e1dn\u00e1 znalost programov\u00e1n\u00ed.<\/p>\n

D\u00e9lka<\/strong>: 8 m\u011bs\u00edc\u016f, 10 hodin t\u00fddn\u011b
\nJazyk<\/strong>: angli\u010dtina
\nCena<\/strong>: zat\u00edm zdarma
\n\u00darove\u0148<\/strong>: za\u010d\u00e1te\u010dn\u00edk<\/p>\n

9. \u00a0 Ovl\u00e1d\u00e1n\u00ed velk\u00fdch dat pomoc\u00ed Apache Spark a Pythonu (Udemy<\/a><\/noindex>)<\/p>\n

Zjist\u00edte, jak pou\u017e\u00edvat streamovou strukturu a datov\u00e9 r\u00e1mce ve Spark3, z\u00edsk\u00e1te p\u0159edstavu o tom, jak vyu\u017e\u00edt slu\u017ebu Elastic MapReduce od Amazonu pro pr\u00e1ci se sv\u00fdm clusterem v Hadoopu. Nau\u010d\u00edte se rozpozn\u00e1vat probl\u00e9my p\u0159i anal\u00fdze velk\u00fdch dat a pochop\u00edte, jak knihovny GraphX funguj\u00ed s anal\u00fdzou s\u00edt\u00ed a jak m\u016f\u017eete vyu\u017e\u00edt MLlib.<\/p>\n

D\u00e9lka<\/strong>: z\u00e1le\u017e\u00ed na v\u00e1s
\nJazyk<\/strong>: angli\u010dtina
\nCena<\/strong>: od 800 korun do 149,99 USD (podle \u0161t\u011bst\u00ed)
\n\u00darove\u0148<\/strong>: za\u010d\u00e1te\u010dn\u00edk, st\u0159edn\u011b pokro\u010dil\u00fd<\/p>\n

10. \u00a0 PG Program v in\u017een\u00fdrstv\u00ed velk\u00fdch dat (upGrad<\/a><\/noindex>)<\/p>\n

Tento kurz v\u00e1m poskytne p\u0159edstavu o tom, jak funguje Aadhaar, jak Facebook personalizuje sv\u016fj zpravodajsk\u00fd kan\u00e1l a jak lze obecn\u011b vyu\u017e\u00edt in\u017een\u00fdrstv\u00ed dat. Kl\u00ed\u010dov\u00fdmi t\u00e9maty budou zpracov\u00e1n\u00ed dat (v\u010detn\u011b zpracov\u00e1n\u00ed v re\u00e1ln\u00e9m \u010dase), MapReduce a analytika velk\u00fdch dat.<\/p>\n

D\u00e9lka<\/strong>: 11 m\u011bs\u00edc\u016f
\nJazyk<\/strong>: angli\u010dtina
\nCena<\/strong>: kolem 3000 dolar\u016f
\n\u00darove\u0148<\/strong>: za\u010d\u00e1te\u010dn\u00edk<\/p>\n

11. \u00a0 Profese Datov\u00fd v\u011bdec (Skillbox<\/a><\/noindex>)<\/p>\n

Nau\u010d\u00edte se programovat v Pythonu, prozkoum\u00e1te frameworky pro tr\u00e9nink neuronov\u00fdch s\u00edt\u00ed Tensorflow a Keras. Ovl\u00e1dnete datab\u00e1ze MongoDB, PostgreSQL, SQLite3, nau\u010d\u00edte se pracovat s knihovnami Pandas, NumPy a Matplotlib.<\/p>\n

D\u00e9lka<\/strong>: 300 hodin v\u00fduky
\nJazyk<\/strong>: ru\u0161tina
\nCena<\/strong>: prvn\u00edch \u0161est m\u011bs\u00edc\u016f zdarma, pot\u00e9 3900 korun m\u011bs\u00ed\u010dn\u011b
\n\u00darove\u0148<\/strong>: za\u010d\u00e1te\u010dn\u00edk<\/p>\n

12. \u00a0 Data Engineer 7.0 (Nov\u00e9 profesn\u00ed laborato\u0159e<\/a><\/noindex>)<\/p>\n

\u010cek\u00e1 v\u00e1s hlubok\u00e9 studium Kafka, HDFS, ClickHouse, Spark, Airflow, lambda architektur a kappa architektur. Nau\u010d\u00edte se propojovat n\u00e1stroje mezi sebou a vytv\u00e1\u0159et pipelin, z\u00edsk\u00e1vaj\u00edc\u00ed z\u00e1kladn\u00ed \u0159e\u0161en\u00ed. Pro studium je pot\u0159eba minim\u00e1ln\u00ed znalost Pythonu 3.<\/p>\n

D\u00e9lka<\/strong>: 21 lekce, 7 t\u00fddn\u016f
\nJazyk<\/strong>: ru\u0161tina
\nCena<\/strong>: od 60 000 do 120 000 korun
\n\u00darove\u0148<\/strong>: za\u010d\u00e1te\u010dn\u00edk<\/p>\n

Pokud m\u00e1te z\u00e1jem p\u0159idat do seznamu dal\u0161\u00ed dobr\u00fd kurz, m\u016f\u017eete napsat do koment\u00e1\u0159\u016f nebo do soukrom\u00e9 zpr\u00e1vy. P\u0159\u00edsp\u011bvek dopln\u00edme. <\/p>\n

Co dal\u0161\u00edho si m\u016f\u017eete p\u0159e\u010d\u00edst v blogu Cloud4Y<\/a><\/noindex><\/b><\/p>\n

\u2192 Jak\u00e1 je geometrie vesm\u00edru?<\/a><\/noindex>
\n\u2192 Easter eggs na topografick\u00fdch map\u00e1ch \u0160v\u00fdcarska<\/a><\/noindex>
\n\u2192 Zjednodu\u0161en\u00fd a velmi kr\u00e1tk\u00fd p\u0159\u00edb\u011bh v\u00fdvoje \u201ecloud\u016f\u201c<\/a><\/noindex>
\n\u2192 Jak se banka \"rozpadla\"<\/a><\/noindex>
\n\u2192 Po\u010d\u00edta\u010dov\u00e9 zna\u010dky 90. let, \u010d\u00e1st 3, z\u00e1v\u011bre\u010dn\u00e1<\/a><\/noindex><\/p>\n

Sledujte n\u00e1\u0161 Telegram<\/a><\/noindex>-kan\u00e1l, abyste nezme\u0161kali dal\u0161\u00ed \u010dl\u00e1nek. P\u00ed\u0161eme maxim\u00e1ln\u011b dvakr\u00e1t t\u00fddn\u011b a pouze k v\u011bci. Tak\u00e9 p\u0159ipom\u00edn\u00e1me, \u017ee 21. kv\u011btna v 15:00 (MSK) uspo\u0159\u00e1d\u00e1me webin\u00e1\u0159<\/a><\/noindex> t\u00e9matu \u201eInforma\u010dn\u00ed bezpe\u010dnost podnik\u00e1n\u00ed p\u0159i pr\u00e1ci na d\u00e1lku\u201c. Pokud chcete pochopit, jak chr\u00e1nit citliv\u00e9 a firemn\u00ed informace p\u0159i pr\u00e1ci zam\u011bstnanc\u016f z domova \u2014 registrujte se!
\n
Zdroj: 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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