Azure Data Engineering Course

What will I learn?

Dzidza zvakakosha zve Azure Data Engineering ne chirongwa chedzidzo chedu chakagadzirirwa vashandi vezve teknolojia. Nyatso pinda mukugadzirisa data uchishandisa Azure Synapse ne Databricks, gadzirisa mafambiro ebasa, uye shandura data zvinobudirira. Ongorora nzira dzakasimba dzekuchengetedza data se Azure Data Lake ne Blob Storage, uye dzidza kusarudza sarudzo dzakakodzera kune zvaunoda. Wana nzwisiso muzvishandiso zve Azure, mazano ekutora data, uye kuitwa kwemapaipi, uchiita kuti zvive nyore kukura uye kushanda nesimba. Simudzira hunyanzvi hwako mukuyedza, kugadzirisa, uye kubvunza ne Azure Synapse kuti uwane mukana we data unobudirira uye kubatanidzwa kwe analytics.

Develop skills

Enhance your development of the practical skills listed below

Iva shasha mu Azure Synapse: Simudzira kugadzirisa data uye kugona kwe analytics.

Gadzirisa Mafambiro Ebasa: Ita kuti kugadzirisa data kuve nyore kuti ubudirire uye ukurumidze.

Shandura Data: Shandisa Azure Databricks kushandura data zvinobudirira.

Sarudza Nzira Yekuchengetedza: Sarudza nzira dzakanakisa dzekuchengetedza dze Azure kune zvakasiyana zvinodiwa.

Ita Mapaipi: Gadzirisa mapaipi e data anokwanisa kukura, uye anoshanda nesimba.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can modify the chapters and the workload.

  • Choose which chapter to start with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can add

You will be able to generate more chapters like the examples below

This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.