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  • Course

Migrating SSIS Packages to Azure Data Factory

Lift and shift your SSIS Packages to the cloud. In this course, you will learn the benefits of cloud migration and how to run, schedule, secure and monitor your SSIS Packages with Azure Data Factory v2.

Intermediate
2h 6m
(66)

Created by Ravikiran Srinivasulu

Last Updated Jul 12, 2024

Course Thumbnail
  • Course

Migrating SSIS Packages to Azure Data Factory

Lift and shift your SSIS Packages to the cloud. In this course, you will learn the benefits of cloud migration and how to run, schedule, secure and monitor your SSIS Packages with Azure Data Factory v2.

Intermediate
2h 6m
(66)

Created by Ravikiran Srinivasulu

Last Updated Jul 12, 2024

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This course is included in the libraries shown below:

  • Cloud
  • Data
What you'll learn

High upfront infrastructure costs. Management Overhead. Software licensing. Sounds familiar? These age-old problems have reduced your organization's competitiveness. In this course, Migrating SSIS Packages to Azure Data Factory, you will gain functional knowledge to lift and shift SSIS Packages from On-premise SQL Server to cloud. First, you will learn about the numerous benefits of cloud migration that solve your problems. Next, you will discover different ways to run your SSIS packages in the cloud, covering a range of scenarios, along the way dealing with the security of data and packages. Then, you will use different methods of scheduling SSIS Packages and Integration runtime in Data Factory. Finally, you will explore how to monitor your Data Factory Pipelines. When you’re finished with this course, you will have the skills and the knowledge to build production-grade Data Factory pipelines that run your SSIS Packages.

Migrating SSIS Packages to Azure Data Factory
Intermediate
2h 6m
(66)
Table of contents

About the author
Ravikiran Srinivasulu - Pluralsight course - Migrating SSIS Packages to Azure Data Factory
Ravikiran Srinivasulu
3 courses 4.2 author rating 132 ratings

Ravikiran is an independent cloud consultant and author focused on developing solutions in Microsoft Azure. His interests include everything in the cloud space, DevOps and Machine Learning with contributions in domains like Healthcare, Banking and Web Analytics. He works at the intersection of education and technology.

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