Data Integration with Microsoft Azure Data Factory (Coursera)

Data Integration with Microsoft Azure Data Factory (Coursera)
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Solid knowledge of data processing languages, such as SQL, Python, or Scala, and understanding of parallel processing and data architecture patterns.
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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



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MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Course Auditing
41.00 EUR/month
Solid knowledge of data processing languages, such as SQL, Python, or Scala, and understanding of parallel processing and data architecture patterns.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.