E tusa ai ma le Statista, e oʻo atu i le 2025 o le tele o maketi faʻamatalaga tetele o le a tupu i le 175 zettabytes faʻatusatusa i le 41 i le 2019 (). Ina ia maua se galuega i lenei matata, e tatau ona e malamalama i le auala e galue ai ma faʻamaumauga tetele o loʻo teuina i le ao. Cloud4Y ua tuʻufaʻatasia se lisi o 12 totogi ma leai se totogi faʻainisinia kosi o le a faʻalauteleina ai lou malamalama i le fanua ma mafai ona avea ma se amataga lelei i luga o lou ala i tusipasi ao.
Upu Tomua
O le a le inisinia fa'amatalaga? O le tagata lea e nafa ma le fausiaina ma le tausia o faʻamaumauga faʻamaumauga i totonu o se poloketi Faʻasaienisi Faʻamatalaga. O matafaioi e mafai ona aofia ai le faʻamautinoaina o le sologa lelei o faʻamatalaga i le va o le server ma le talosaga, tuʻufaʻatasia o polokalama faakomepiuta fou e pulea ai faʻamaumauga, faʻaleleia o faʻagasologa o faʻamaumauga autu, ma le fatuina o laina paipa o faʻamaumauga.
O loʻo i ai se numera tele o tekinolosi ma mea faigaluega e tatau ona faʻatautaia e se inisinia faʻamatalaga ina ia mafai ai ona galue i le cloud computing, data warehouses, ETL (extraction, transformation, loading), ma isi. E le gata i lea, o le numera o tomai manaʻomia e faʻatupulaia i taimi uma, e mana'omia la e le inisinia fa'amaumauga ona fa'atumu i taimi uma lona malamalama. O la matou lisi e aofia ai kosi mo tagata amata ma tomai faʻapitoa. Filifili le mea e fetaui ma oe.
1. Fa'ailoga Fa'ailoga Nanodegree Fa'amatalaga ()
O le a e aʻoaʻoina pe faʻapefea ona mamanuina faʻataʻitaʻiga o faʻamaumauga, fatuina faleteuoloa faʻamaumauga ma vaituloto faʻamaumauga, faʻautometi laina paipa faʻamaumauga ma galue ma faʻasologa o faʻamaumauga. I le faaiuga o le polokalame, o le a e su'eina ou tomai fou e ala i le fa'amae'aina o se poloketi Capstone.
umi: 5 masina, 5 itula i le vaiaso
Язык: Igilisi
tau: $ 1695
Laʻasaga: amataga
2. Avea ma Fa'amaumauga Inisinia Fa'amaumauga ()
Latou te aʻoaʻo mai faʻavae. E mafai ona e alualu i luma i lea laasaga ma lea laasaga, e faaaoga ai lauga ma lima-lima galuega faatino e galue ai i ou tomai. I le faaiuga o le aʻoaʻoga, o le a e sauni e galue ma ML ma faʻamatalaga tetele. E fautuaina e iloa le Python a itiiti ifo i se tulaga maualalo.
umi: 8 masina, 10 itula i le vaiaso
Язык: Igilisi
tau😕
Laʻasaga: amataga
3. Avea ma se Inisinia Fa'amatalaga: Fa'atonu Manatu ()
O le ae atiaʻe faʻainisinia faʻamatalaga ma DevOps tomai, aʻoaʻo pe faʻafefea ona fatuina ni faʻamatalaga Big Data, fatuina laina paipa faʻamaumauga, faʻagasolo talosaga i le taimi moni e faʻaaoga ai le Hazelcast ma se faʻamaumauga..
umi: E faalagolago ia te oe
Язык: Igilisi
tau: masina muamua - leai se totogi
Laʻasaga: amataga
4. Kosi Fa'ainisinia Fa'amatalaga ()
Ole fa'asologa lea o polokalame e fa'afeiloa'i ai oe ile inisinia fa'amatalaga ma a'oa'o oe ile fa'atupuina o fofo au'ili'ili. O vasega ua vaevaeina i vaega e fa'atatau i tulaga faigata, o lea e mafai ai ona e filifilia se tasi e tusa ai ma lou tulaga o le poto masani. I le taimi o aʻoaʻoga o le a e aʻoaʻo ai e faʻaoga Spark, Hadoop, Azure ma faʻatautaia faʻamaumauga faʻapitoa.
umi: E faalagolago ia te oe
Язык: Igilisi
tau: fa'alagolago ile vasega ua filifilia
Laʻasaga: amata, tulagalua, maualuga
5. Inisinia Fa'amaumauga ()
O lenei kosi e aoga tele pe a iai sau poto masani ile Python ma e manaʻo e faʻaloloto lou malamalama ma fausia se matata o se saienitisi faʻamaumauga. O le a e aʻoaʻoina pe faʻapefea ona fausia faʻamaumauga faʻamaumauga e faʻaaoga ai le Python ma pandas, faʻapipiʻiina o faʻamaumauga tetele i totonu o le Postgres database pe a uma ona faʻamamaina, suia ma faʻamaonia.
umi: E faalagolago ia te oe
Язык: Igilisi
tau: fa'alagolago i le pepa fa'asoa
Laʻasaga: amata, tulagalua
6. Inisinia Fa'amatalaga ma Google Ao ()
O lenei vasega o le a fesoasoani ia te oe e maua ai tomai e te manaʻomia e fausia ai se matata i faʻamatalaga tetele. Mo se faʻataʻitaʻiga, galue ma BigQuery, Spark. E te maua le poto e te mana'omia e sauniuni ai mo le fa'ailoga Google Cloud Professional Data Engineer fa'amaonia.
umi: 4 masina
Язык: Igilisi
tau: saoloto mo le taimi nei
Laʻasaga: amata, tulagalua
7. Fa'ainisinia Fa'amatalaga, Fa'amatalaga Tele i luga ole Google Cloud Platform ()
Ose a'oa'oga mata'ina e maua ai le poto fa'atino o faiga fa'agaioiga fa'amaumauga ile GCP. I le taimi o le vasega, o le a e aʻoaʻoina pe faʻapefea ona mamanuina faiga aʻo leʻi amataina le atinaʻe. E le gata i lea, o le a e suʻesuʻeina foʻi faʻamaumauga faʻatulagaina ma e leʻi faʻatulagaina, faʻaoga le auto-scaling, ma faʻaoga auala ML e suʻe ai faʻamatalaga.
umi: 3 masina
Язык: Igilisi
tau: saoloto mo le taimi nei
Laʻasaga: amata, tulagalua
8. UC San Diego: Fa'apitoa Fa'amatalaga Tele ()
O le kosi e faʻavae i luga o le faʻaogaina o le Hadoop ma Spark framework ma faʻaogaina nei faʻamatalaga tetele i le ML process. O le ae aʻoaʻoina faʻavae o le faʻaaogaina o Hadoop ma MapReduce, Spark, Pig, ma Hive. A'oa'o pe fa'apefea ona fausia fa'ata'ita'iga vavalo ma fa'aoga au'ili'iliga kalafi e fa'ata'ita'i ai fa'afitauli. Faamolemole ia matau o lenei kosi e le manaʻomia se poto masani polokalame.
umi: 8 masina 10 itula i le vaiaso
Язык: Igilisi
tau: saoloto mo le taimi nei
Laʻasaga: amataga
9. Fa'asalaina Fa'amatalaga Tele ma Apache Spark ma Python ()
O le ae a'oa'oina le fa'aogaina o le fa'asologa o le vaitafe ma fa'amaumauga fa'amaumauga i Spark3, ma maua se malamalamaga i le fa'aogaina o le Amazon's Elastic MapReduce auaunaga e galulue ai ma lau fuifui Hadoop. Aʻoaʻo e iloa faʻafitauli i suʻesuʻega faʻamaumauga tetele ma malamalama pe faʻafefea ona galue faletusi o le GraphX ma auʻiliʻiliga fesoʻotaʻiga ma pe faʻapefea ona e faʻaogaina le MLlib.
umi: E faalagolago ia te oe
Язык: Igilisi
tau: mai le 800 rubles i le $149,99 (faʻalagolago i lou laki)
Laʻasaga: amata, tulagalua
10. Polokalame PG ile Inisinia Fa'amatalaga Tele ()
O lenei vasega o le a avatu ai ia te oe se malamalamaaga i le auala e galue ai Aadhaar, faʻafefea ona faʻavasega e Facebook le fafaga talafou, ma pe faʻafefea ona faʻaogaina le Inisinia Faʻamatalaga lautele. O autu autu o le a avea ma faʻamaumauga faʻamaumauga (e aofia ai le faʻaogaina o taimi moni), MapReduce, faʻamaumauga tetele.
umi: 11 masina
Язык: Igilisi
tau: e tusa ma le $3000
Laʻasaga: amataga
11. Saienitisi Fa'amaumauga o Galuega ()
O le a e aʻoaʻoina le polokalame i le Python, suʻesuʻe le faʻavae mo aʻoaʻoga neural network Tensorflow ma Keras. Fa'atonu le MongoDB, PostgreSQL, SQLite3 fa'amaumauga, a'oa'o e galulue fa'atasi ma faletusi Pandas, NumPy ma Matpotlib.
umi: 300 itula o toleniga
Язык: Lusia
tau: muamua ono masina e leai se totogi, ona 3900 rubles i le masina
Laʻasaga: amataga
12. Inisinia Fa'amaumauga 7.0 ()
O le ae mauaina se suʻesuʻega loloto o Kafka, HDFS, ClickHouse, Spark, Airflow, lambda architecture ma le kappa architecture. O le a e aʻoaʻoina pe faʻafefea ona faʻafesoʻotaʻi meafaigaluega i le tasi ma le isi, faia o paipa, mauaina o se fofo faʻavae. Ina ia suʻesuʻe, e manaʻomia se malamalama maualalo ole Python 3.
umi: 21 lesona, 7 vaiaso
Язык: Lusia
tau: mai le 60 i le 000 rubles
Laʻasaga: amataga
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puna: www.habr.com