![Azure Data Engineer Technologies for Beginners [Bundle]](https://img-c.udemycdn.com/course/750x422/2537858_ccee_6.jpg)
Microsoft Azure SQL Database, Data Lake, Data Factory, Synapse Analytics, Cosmos DB, Databricks, HDInsight, storage
The curriculum provides specific coverage of data warehousing concepts such as storage/sharding patterns, partitioning, and loading methods like PolyBase.
Instruction includes practical demos for creating Synapse Analytics workspaces, managing Spark pools, and querying Cosmos DB.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This overview slide maps out key Azure data technologies, featuring icons for Data Factory, Databricks, Stream Analytics, Power BI, and various storage solutions.
This course overview details expected outcomes for learning Microsoft Azure technologies, including SQL Server, Synapse Analytics, Data Lake, and Hadoop basics.
This course page highlights the beginner difficulty level and includes a specific note advising that professionals already working with these technologies may find the content too basic.
This course page highlights that the material is taught in English and warns that captions are not good enough for non-native speakers to fully understand the content.
Free
FreeRecent signals suggest the material may lack some newer cloud concepts or updates necessary for 2024 workflows.
One sampled review suggests that learners have noted a lack of responsiveness to technical doubts within the Q&A sections.
The curriculum aligns with the stated goals for beginners and database professionals looking to enter the Azure ecosystem.
