6 yazvino makosi paAzure

Hei Habr! Pakutanga, takatoburitsa zvinyorwa zvitatu kubva pa3 mune yedu nhevedzano yekuunganidzwa yeanonakidza makosi ekudzidziswa kubva kuMicrosoft. Nhasi chikamu chechina, uye mairi tichataura nezveazvino makosi paAzure gore.

Zviya!

  • Ese makosi emahara (iwe unogona kutoedza zvakabhadharwa zvigadzirwa zvemahara);
  • 5/6 muchiRussian;
  • Unogona kutanga kudzidziswa ipapo;
  • Kana wapedza, uchagashira bheji rinosimbisa kupedza kosi.

Join, ruzivo pasi pekuchekwa!

Zvinyorwa zvese munhevedzano

Iyi block ichagadziridzwa nekuburitswa kwezvinyorwa zvitsva

  1. 7 emahara makosi evagadziri
  2. 5 emahara makosi eIT Administrators
  3. 7 Yemahara Makosi eSolution Architects
  4. 6 yazvino makosi paAzure
  5. ** yakawanda ********** ****** kubva kuM******** kusvika ku********

6 yazvino makosi paAzure

6 yazvino makosi paAzure

1. Tonga midziyo muAzure

Azure Container Instances ndiyo inokurumidza uye iri nyore nzira yekumhanyisa midziyo paAzure. Iyi nzira yekudzidza ichakubatsira iwe kudzidza kugadzira nekugadzirisa midziyo uye maitiro ekuwana anochinjika chiyero cheKubernetes neACI.

Kosi modules:

  • Kuvaka mudziyo wewebhu application neDocker;
  • Gadzira uye chengetedza mifananidzo yemidziyo uchishandisa Azure Container Registry;
  • Kumhanya Docker midziyo ine Azure Container Instances;
  • Tumira uye mhanyisa mudziyo wewebhu application uchishandisa Azure App Service;
  • Ruzivo rwakakwana nezve Azure Kubernetes Service.

Tsvaga zvimwe uye tanga neiyo link.

6 yazvino makosi paAzure

2. Data engineering neAzure Databricks

Dzidza maitiro ekushanda neAzure Databricks nenzira kwayo uye nekuchimbidza yako kugadzirisa kugadzirisa. Shanda nedata muAzure SQL Data Warehouse uchishandisa yakavakirwa-mukati yekubatanidza masevhisi. Mhedziso yemasevhisi edatha anowanikwa muAzure. Vaka akakwenenzverwa mafambiro uye shanda neinodyidzana analytics nzvimbo yekushanda inofambiswa neApache Spark. Nenzira, kosi yacho inofanira kutora iwe anenge maawa masere.

Modules:

  • Nhanganyaya kuAzure Databricks;
  • Svika SQL Data Warehouse zviitiko neAzure Databricks;
  • Tora data neAzure Databricks;
  • Kuverenga nekunyora data neAzure Databricks;
  • Basic data shanduko muAzure Databricks;
  • Ita shanduko yepamusoro yedata muAzure Databricks;
  • Kuvaka mapaipi edata neDatabricks Delta;
  • Kushanda nedata kuyerera muAzure Databricks;
  • Gadzira data kuona neAzure Databricks uye Power BI.

Details uye kutanga kwekudzidziswa

6 yazvino makosi paAzure

3. Gadzira mhinduro dzinoshanda muAzure

Dzidza maitiro ekugadzira nekugadzira akavimbika, anokatyamadza, epamusoro-kuita mhinduro paAzure nekudzidza akakosha hunhu hwekuvaka kwakanaka.

Mune ino 4,5-awa kosi, iwe uchadzidza maitiro akakosha ekubudirira kweAzure architecture, dzidza kugadzira nekutarisa nezvekuchengetedza, kuita uye kuyera, kushanda zvakanaka, kugona kwakanyanya, uye kuwanikwa. Join izvozvi!

Details uye kutanga kwekudzidziswa

6 yazvino makosi paAzure

4. Kushanda neNoSQL data muAzure Cosmos DB

NoSQL data inzira inoshanda yekuchengetedza ruzivo rusingazadzise zvinodiwa neSQL relational database. Dzidza kuti ungashandisa sei Azure portal, Azure Cosmos DB extension ye Visual Studio Code, uye Azure Cosmos DB .NET Core SDK kushanda neNoSQL data munzvimbo ipi neipi uye kupa vashandisi kuwanikwa kwepamusoro pasinei nokuti varipi.

Joinha kudzidza NoSQL muAzure Cosmos DB!

Details uye kutanga kwekudzidziswa

6 yazvino makosi paAzure

5. Kushandisa dura re data neAzure SQL Data Warehouse

Azure SQL Data Warehouse inopa hukama hombe yekuchengetedza data iyo inogona kukwira kune akawanda petabytes yedata. Muiyi nzira yekudzidza, iwe unozodzidza maitiro eAzure SQL Data Warehouse inogona kuwana chiyero ichi neMassive Parallel Processing (MPP) architecture. Gadzira nzvimbo yekuchengetera data mumaminetsi uye shandisa mutauro wakajairika wemubvunzo kugadzira mishumo. Dhawunirodha yakawanda data mumaminetsi mashoma uye ita shuwa kuti chitoro che data chakachengeteka.

Misoro inotevera inofukidzwa munzira yekudzidza iyi.

  • Dzidza maitiro ekugadzira Azure SQL Data Warehouse;
  • Ita mibvunzo uye fungidzira data kubva kuAzure SQL Data Warehouse;
  • Kupinza data muSQL Data Warehouse uchishandisa Polybase;
  • Dzidza nezve kuchengetedza zvinodzora zvinopihwa neAzure Storage uye Azure SQL Data Warehouse.

Details uye kutanga kwekudzidziswa

6 yazvino makosi paAzure

6. Vaka mapurogiramu neAzure DevOps

Azure DevOps inokutendera iwe kuvaka, kuyedza, uye kuendesa chero application mugore kana pane-nzvimbo. Dzidza maitiro ekumisikidza mapaipi ekuvaka anoramba achivaka, kuyedza, uye kusimbisa maapplication.

Misoro inotevera inofukidzwa munzira yekudzidza iyi.

  • Bata pamwe pakuvaka mapurogiramu neAzure Pipelines uye GitHub;
  • Kumhanyisa otomatiki bvunzo mupombi yekutarisa kunaka kwekodhi;
  • Kuongorora sosi kodhi uye yechitatu-bato zvikamu zvezvingangoita kusagadzikana;
  • Kutsanangura mapaipi akawanda anoshanda pamwechete kuvaka application;
  • Vaka maapplication ane makore-anobatwa vamiririri uye ako ekuvaka vamiririri.

Details uye kutanga kwekudzidziswa

mhedziso

Nenguva isipi tichagovana sarudzo dzichangoburwa kubva munhevedzano iyi. Zvichave zvinotonhorera uye tinovimba iwe unonakidzwa nazvo. Uye hongu, iwe unogona kufungidzira kuti chii chichave chiri mairi. Iro zano rakavigwa mutafura yezviri mukati.

* Ndokumbira utarise kuti ungangoda kubatana kwakachengeteka kuti upedze mamwe ma module.

Source: www.habr.com

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