Azure Data Engineer Technologies for Beginners [Bundle]

Microsoft Azure SQL Database, Data Lake, Data Factory, Synapse Analytics, Cosmos DB, Databricks, HDInsight, storage

4.49 (6623 reviews)

Udemy

platform

English

language

IT Certification

What you will learn

You will be able to identify right Azure SQL Server deployment option, purchasing model and service tier according to requirements and will be able to deploy it in cloud.

You will able to deploy Azure Synapse Analytics (formerly known as Azure SQL Data warehouse) in Azure Cloud environment.

You will have good internal MPP architecture understanding, and so you will be able to analyse your on-premises data warehouse, and migrate data to Azure Data Warehouse.

You will be able to create Azure Data Lake Gen1 storage account, populate it will data and analyze it using U-SQL Language.

You will understand Azure Data Factory key components and advantages. You will be able to create, schedule and monitor simple pipelines.

We will understand how HDInsight makes Hadoop easy, and we will go through simple demo where we’ll fetch data from Data Lake, process it through Hive and later will store data in SQL Server.

Course Gallery

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Rating & Reviews

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Comidoc Review

Our Verdict

Designed as an entry-level course, the Azure Data Engineer Technologies for Beginners bundle offers valuable insights and a clear understanding of essential data engineering tools on the Microsoft Azure platform. While occasional presentation issues arise and the content is starting to show its age in some areas, this comprehensive bundle remains a strong choice for beginners or learners preparing for relevant certification exams.

What We Liked

Comprehensive coverage of essential Azure data engineering technologies, ideal for beginners
Engaging and clear explanations with concrete examples that facilitate learning
Valuable for Microsoft certification candidates, helping pass DP-203 exam
Hands-on demonstrations provide real-world context

Potential Drawbacks

Content is starting to show its age, with some UI changes and updates needed
Theoretical concepts could be emphasized less in favor of deeper dives into practical topics
Lecture pace may be too slow for advanced users or those seeking a more concise experience
Occasional issues with code readability during screen sharing