Overview
Course Description
Microsoft Azure Data Factory course training will provide you with the ability to execute Big data engineering on Microsoft Cloud Services. You will discover how to use a data factory and how to link Power BI with a data lake. To provide you practical experience with data factories and data lakes and deploying the same software pipelines, this course also provides real-time industrial experiences and project work. The top Microsoft-certified data factory trainers will teach you in-depth knowledge of Azure data factory.
Azure 203 Data Factory Certification Training Course is designed by IT experts to help you to qualify the Microsoft Azure Data Engineering Exam: DP-203.
What you'll learn
- Introduction
- What is data engineering
- Important data engineering concepts
- Data engineering in Microsoft Azure
- Understand Azure Data Lake Storage Gen2
- Enable Azure Data Lake Storage Gen2 in Azure Storage
- Compare Azure Data Lake Store to Azure Blob storage
- Understand the stages for processing big data
- Use Azure Data Lake Storage Gen2 in data analytics workloads
- Understand Azure Synapse serverless SQL pool capabilities and use cases
- Query files using a serverless SQL pool
- Create external database objects
- Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement
- Encapsulate data transformations in a stored procedure
- Include a data transformation stored procedure in a pipeline
- What is Azure Synapse Analytics
- How Azure Synapse Analytics works
- When to use Azure Synapse Analytics
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Includes
Get Live Recording
69 downloadable
resources
Full lifetime access
Access on 24/7
Assignments
Certificate of
Completion
Includes
Enrolled: 32
students
Duration: 20
hours
Chapters:
15
Video: 12
hours
Level:
Beginner