Is Integrating Data in Microsoft Azure beginner friendly?

No, this is an advanced level course. It is recommended for learners who already have foundational knowledge and practical experience in the domain.

How long does it take to complete Integrating Data in Microsoft Azure?

The total duration of the course is approximately 2 hour 23 minutes. Since it is generally self-paced, completion time depends entirely on your learning schedule and availability.

Is this course more theory-focused or project-focused?

This course provides a strong mix of conceptual theory and practical application to ensure a comprehensive understanding of the subject matter.

What careers is this course relevant for?

The skills taught in this course are highly relevant for professionals pursuing roles within Data Science and adjacent technical fields looking to upskill.

Data Science

Integrating Data in Microsoft Azure

Name: Integrating Data in Microsoft Azure
Availability: InStock
Rating: 4 (87 reviews)

With over 2.5 quintillion bytes of data generated each day, you need to rely on modern tools to efficiently use and analyze data. In this course, you will learn how to leverage the power of Azure to create data integration pipelines in the cloud.

Advanced LevelSelf-Paced Learning

Reviews ( 87 )

Subscription (Free Trial Available)

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🧠 Best suited for advanced learners

⚠ May not be ideal for beginners

Learning Journey Context

Designed for experienced practitioners. We recommend having a solid grasp of Data Science fundamentals before starting this specialization.

Career Relevance

Relevant for: Cloud Engineer, DevOps Engineer, Solutions Architect.

💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.

Quick Facts

2 hour 23 minutes

pluralsight

Advanced

Self-Paced Online

Core Courses

pluralsight

English

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What You’ll Learn

Data-driven decision making is the path to business success. In this course, Integrating Data in Microsoft Azure, you will gain foundational knowledge to integrate data utilizing the power of Microsoft Azure.

First, you will learn how to migrate data from on-premise and Amazon Web Services to Azure. Next, you will discover how to easily construct ETL processes and create data integration pipelines using Azure Data Factory.

Finally, you will explore how to create a real-time pipeline, to ingest and process real-time events sent by IoT devices using Azure EventHubs, Azure Stream Analytics, and Power BI.

When you're finished with this course, you will have the skills and knowledge needed to create data integration pipelines using some of the great tools that are part of the Azure ecosystem.

See how this course curriculum compares with alternatives

Outcomes

Course Overview : 1min.
Data Integration Services on Azure : 8mins.
Migrate On-premises Data to Azure SQL Server : 47mins.
Migrate Data from Amazon S3 to Azure Blob Storage : 15mins.
Create Data Pipelines with Azure Data Factory Copy Data Tool : 8mins.
Create Data Pipelines with Azure Data Factory : 36mins.
Create Real-time Data Pipelines with Azure EventHubs and Azure Stream Analytics : 17mins.
Real-time Monitoring with Power BI : 8mins.