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Azure Data Factory training course

Create data-driven pipelines to direct movement of data and to integrate disparate data sources across your organization

JBI training course London UK

“I liked the theory element of the course which gave me a good understanding of the role of databricks and a data factory and how they could be useful on my projects.”

JS, Data analyst 

JBI training course London UK

​​​​​​​Azure Data Factory (ADF) is a cloud-based service for data integration. ADF is used to integrate disparate data sources from across your organization including data in the cloud and data that is stored on-premises. In this course, you will learn how to create data-driven pipelines to direct the movement of data. You will also be introduced to an alternative option to Azure Data Factory and that is using SSIS to work with your cloud resources. Once packages have been developed in SSIS you must choose between storing and executing those packages on-premises or in the cloud. You will then learn about the difference between hosting SSIS on-premises vs. Azure Lift and Shift.

  • Create data-driven pipelines to direct movement of data and to integrate disparate data sources across your organization
  • Working with Data Factory activities
  • Difference between hosting SSIS on-premises vs. Azure Lift and Shift
  • Triggers, monitoring and notification

Getting Started with Azure

  • Navigating the Azure Portal
  • Resource Groups
  • Setting up an Azure SQL Database and Azure Storage
  • Connectors: Azure services, databases, NoSQL, files, generic protocols, services & apps, custom
  • Pipelines
    • Creating ADF v2 instance
    • Creating a pipeline and associated activities
    • Executing the pipeline
    • Monitoring execution
    • Reviewing results
  • Activities: data movement, data transformation, control flow
  • Datasets: source, sink
  • Integration Runtimes: Azure, Self-Hosted, Azure-SSIS

Working with Data Factory

  • Provisioning Data Factory
  • Data Factory Navigation
  • Self-Hosted Integration Runtime
  • Copy Activity Wizard
  • Azure Blob to Azure SQL DB
  • Factory Resources
  • Copy Activity
  • Get Metadata Activity
  • Stored Procedure Activity
  • Lookup Activity
  • If Condition Activity
  • If Condition Activity Completion
  • ForEach Activity
  • Creating Dynamic Datasets
  • Filter Activity

Data Flows

  • Overview
  • Source
  • Transformations
  • Sink

Azure Lift and Shift

  • Provisioning Azure – SSIS Integration Runtime
  • Visual Studio Deployment
  • Execute SSIS Package from Azure

Triggers

  • Schedule Triggers​​​​​​​

Monitoring

  • Azure Data Factory
  • SSIS Lift and Shift

Notification

  • Azure Logic Apps

 

 

JBI training course London UK

The target audience of this class is the data integration professional who is tasked with orchestrating data movement processes within the organization. This class assumes that you have no previous knowledge of Microsoft’s Azure Platform or Azure Data Factory. Some experience using SSIS or another ETL tool could be helpful but is not necessary.

Image result for azure logic apps transparent


4.8 out of 5 average

“I liked the theory element of the course which gave me a good understanding of the role of databricks and a data factory and how they could be useful on my projects.”

JS, Data analyst 

 

“It was a very useful two days introduction to Azure and I thought the labs were really helpful to get some hands on experience using the tools. The trainer was very helpful and patient in helping with issues arising with the lab exercises.”

JM, Insights analyst 

 

JBI training course London UK
 
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