Azure Data Engineering Course
What will I learn?
Ithute botlhokwa jwa Azure Data Engineering ka khoso ya rona e e tseneletseng e e diretsweng bomankge ba theknoloji. Ithute ka botlalo mekgwa ya go dira data o dirisa Azure Synapse le Databricks, tokafatsa ditsela tsa go dira dilo, mme o fetole data ka bokgabane. Sekaseka ditharollo tse di nonofileng tsa go boloka data jaaka Azure Data Lake le Blob Storage, mme o ithute go tlhopha dikgetho tse di siameng go ya ka ditlhokego tsa gago. Bona lesedi ka ditirelo tsa Azure, maano a go tlisa data, le go tsenya tirisong dipipeline, go netefatsa gore di ka okediwa le go dira sentle. Tokafatsa bokgoni jwa gago mo go lekeletseng, go tokafatseng, le go botseng ka Azure Synapse go bona data le go kopanya ditsela tsa go sekaseka data ka bokgabane.
Develop skills
Enhance the development of the practical skills listed below
Ithute Azure Synapse ka botlalo: Oketsa bokgoni jwa go dira data le go sekaseka data.
Tokafatsa Ditsela tsa go Dira Dilo: Dira gore go dirwa ga data go tsamae sentle go bona bokgabane le lebelo.
Fetola Data: Dirisa Azure Databricks go fetola data ka bokgabane.
Tlhopha Bobolokelo: Tlhopha ditharollo tse di siameng tsa Azure tsa go boloka data go ya ka ditlhokego tse di farologaneng.
Tsenya Dipaipeline Tiriso: Dira dipipeline tsa data tse di ka okediwang, tse di dirang ka bokgabane.
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’ll 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.