Azure Data Engineering Course
What will I learn?
Fumana tsebo e tebileng ea Azure Data Engineering ka thupelo ena ea rona e hlophisitsoeng bakeng sa litsebi tsa theknoloji. Ithute ka botebo mekhoa ea ho sebetsana le data u sebelisa Azure Synapse le Databricks, ntlafatsa tsela eo lintho li sebetsang ka eona, 'me u fetole data ka nepo. Hlahloba litharollo tse matla tsa polokelo tse kang Azure Data Lake le Blob Storage, 'me u ithute ho khetha likhetho tse nepahetseng bakeng sa litlhoko tsa hau. Fumana leseli ka lits'ebeletso tsa Azure, maqheka a ho kenya data, le ts'ebetsong ea li-pipeline, ho netefatsa hore li ka holisoa le ho sebetsa hantle. Ntlafatsa tsebo ea hau ea tlhahlobo, ntlafatso le ho botsa lipotso ka Azure Synapse bakeng sa phihlello e sebetsang ea data le kopanyo ea analytics.
Develop skills
Enhance your practical skills as listed below
Tseba Azure Synapse: Ntlafatsa bokhoni ba ho sebetsana le data le analytics.
Ntlafatsa Tsela eo Lintho li Sebetsang ka eona: Nolofatsa ts'ebetso ea data bakeng sa ts'ebetso e ntle le lebelo.
Fetola Data: Sebelisa Azure Databricks bakeng sa phetoho e sebetsang ea data.
Khetha Polokelo: Khetha litharollo tse loketseng tsa polokelo ea Azure bakeng sa litlhoko tse fapaneng.
Kenya Tšebetsong Li-Pipeline: Hlophisa li-pipeline tsa data tse ka holisoang le tse sebetsang hantle.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and workload.
- Choose your starting chapter
- Add or remove chapters
- Alter the total course workload
Examples of chapters you can include
You'll be able to generate additional chapters similar to 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 provides practical and relevant knowledge for your career.