Coursera

Data Integration with Microsoft Azure Data Factory (Coursera)

Offered by Microsoft,
Data Integration with Microsoft Azure Data Factory (Coursera)

In this course, you will learn how to create and manage data pipelines in the cloud using Azure Data Factory. This course is part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services. It is ideal for anyone interested in preparing for the DP-203: Data Engineering on Microsoft Azure exam (beta).

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This is the third course in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam.
Course 3 of 10 in the Microsoft Azure Data Engineering Associate DP-203 Exam Prep Specialization.
What You Will Learn

  • You will learn how to create and manage data pipelines in the cloud using Azure Data Factory and Azure Synapse Pipeline.

Syllabus

WEEK 1
Integrate data with Azure Data Factory or Azure Synapse Pipeline
Describe the core components of Azure Data Factory that enable you to create large scale data ingestion solutions in the cloud

WEEK 2
Peta zyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline
Describe the various methods that can be used to ingest data between various data stores using Azure Data Factory

WEEK 3
Perform code-free transformation at scale with Azure Data Factory or Azure Synapse Pipeline
Perform common data transformation and cleansing activities within Azure Data Factory without using code Implement Slowly Changing Dimension using Azure Data Factory or Azure Synapse Pipelines

WEEK 4
Orchestrate data movement and transformation in Azure Data Factory or Azure Synapse Pipeline
Use Azure Data Factory to orchestrate large scale data movement by using other Azure Data Platform and Machine Learning technologies

WEEK 5
Execute existing SSIS packages in Azure Data Factory or Azure Synapse Pipeline
Integrate SQL Server Integration Services packages into an Azure Data Factory solution

WEEK 6
Operationalize your Azure Data Factory or Azure Synapse Pipeline
Publish your Azure Data Factory work between different environments

WEEK 7
Receive data with Azure Data Share and transforming with Azure Data Factory
Ingest data from Azure Data Share into Azure Data Factory pipelines to build automated ingestion pipelines

WEEK 8
Course Practice Exam
Practice Exam on Data integration at scale with Azure Data Factory or Azure Synapse Pipeline

Go to Class
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