Azure Data Engineer Course
What will I learn?
Godisa bokgoni jwa gago jwa Business Intelligence ka Thupelo ya rona ya Boenjiniere jwa Data ya Azure, e e diretsweng batho ba ba dirang ba ba tlhwaafaletseng go itse go fetola data, go e sekaseka, le go e boloka ba dirisa didirisiwa tse di maatla tsa Azure. Ithute ka go kgobokanya data, go e rulaganya, le go e phepafatsa ka Azure Databricks, mme o tlhotlhomise tshekatsheko ya mekgwa ya thekiso le tlhaloganyo ya diinveteri ka Azure Synapse. Ithute mekgwa e e siameng ya go tsaya data ka Azure Data Factory le di-API tsa nako ya mmatota, mme o tokafatsa ditharabololo tsa go boloka ka Azure SQL Database. To kafatsa bokgoni jwa gago jwa go kwala ditokumente go rulusetsa methalo ya data le dipego.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute go kgobokanya data: Oketsa tlhaloganyo ka mekgwa e e kwa godimo ya go kgobokanya data.
Tokafatsa go rulaganya data: Diragatsa mekgwa e e siameng ya go tlhagisa data sentle.
Phepafatsa data ka bonako: Dirisa Azure Databricks go phepafatsa data ka bonako.
Sekaseka mekgwa: Dira tshekatsheko ya mekgwa ya thekiso o dirisa Azure Synapse.
Laola polokelo ya data: Thala le go tokafatsa ditafole mo Azure SQL Database.
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.