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Data Pipelines with Azure

Course

In this course, you’ll learn to build, orchestrate, automate and monitor data pipelines in Azure using Azure Data Factory and pipelines in Azure Synapse Analytics. You’ll build, trigger, and monitor data pipelines on the Azure platform for analytical workloads and run data transformations, optimize data flows, and work with data pipelines in production.

In this course, you’ll learn to build, orchestrate, automate and monitor data pipelines in Azure using Azure Data Factory and pipelines in Azure Synapse Analytics. You’ll build, trigger, and monitor data pipelines on the Azure platform for analytical workloads and run data transformations, optimize data flows, and work with data pipelines in production.

Intermediate

4 weeks

Real-world Projects

Completion Certificate

Last Updated March 11, 2024

Skills you'll learn:
Azure Data Factory • Data pipeline creation • Data pipeline maintenance • Azure pipelines
Prerequisites:

No experience required

Course Lessons

Lesson 1

Introduction to Data Pipelines

Welcome to Data Pipelines with Azure! In this lesson, you'll learn more about the course, including the prerequisites and tools you'll be using.

Lesson 2

Azure Data Pipeline Components

In this lesson, you'll learn about the components of data pipelines in Azure Data Factory and Synapse Analytics.

Lesson 3

Transforming Data in Azure Data Pipelines

In this lesson, you'll learn about transforming data as it moves through activities in a pipeline.

Lesson 4

Azure Pipeline Data Quality

In this lesson, you’ll learn about optimizing Azure Data Factory and Synapse Analytics Pipelines for data quality and integrity.

Lesson 5

Azure Data Pipelines in Production

In this lesson, you'll learn about features of Azure Data Factory and Synapse Analytics pipelines that you’ll use in production.

Lesson 6 • Project

Data Integration Pipelines for NYC Payroll Data Analytics

In this project, you'll build data pipelines for an analytics platform for the City of New York.

Taught By The Best

Photo of Vishnu (Lucky) Pamula

Vishnu (Lucky) Pamula

Sr. Cloud Solution Architect at Microsoft

Lucky is a data & AI evangelist with a track record of successfully helping organizations build analytics solutions. Besides his day job, he teaches as an adjunct professor, delivers lunch & learns, mentors students, and evangelizes Azure Quantum as an ambassador.

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Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.

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Month-To-Month

4 Months

Average time to complete a Nanodegree program

*Discount applies to the first 4 months of membership, after which plans are converted to month-to-month.

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Data Pipelines with Azure

Month-To-Month


  • Unlimited access to our top-rated courses
  • Real-world projects
  • Personalized project reviews
  • Program certificates
  • Proven career outcomes

4 Months

Average time to complete a Nanodegree program

  • All the same great benefits in our month-to-month plan
  • Most cost-effective way to acquire a new set of skills
Discount applies to the first 4 months of membership, after which plans are converted to month-to-month.