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Creating Mapping Data Flows on Azure Data Factory

Data Engineering is one of the hottest topics on IT right now. The velocity, volume, and variety of data nowadays require skills beyond just traditional ETL. This course will teach you how to work with mapping data flows on Azure Data Factory.

Nowadays, data is everywhere, and companies are increasingly interested in transforming this data into insights that can help them become more efficient and productive. In this course, Creating Mapping Data Flows on Azure Data Factory, you’ll learn to use mapping data flows to perform transformations on ADF. First, you’ll explore simple data flow operations such as sorts, filters, and derived columns. Next, you’ll discover options for joining, aggregating, and splitting data. Finally, you’ll learn how to perform additional operations such as exists and lookups. When you’re finished with this course, you’ll have the skills and knowledge of mapping data flows needed to perform transformations on Azure Data Factory.

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What's inside

Syllabus

Course Overview

Mapping Data Flows Definition

Simple Mapping Data Flow Operations

Working with Multiple Data Streams

Additional Data Flow Operations

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by Emilio Melo, who is considered a subject matter expert in data engineering

Covers mapping data flows on Azure Data Factory, a highly sought-after skill in the industry

Provides hands-on experience with simple and complex data flow operations

Assumes basic understanding of data engineering concepts, making it suitable for intermediate learners

Requires access to Azure Data Factory, which may require a paid subscription

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Creating Mapping Data Flows on Azure Data Factory with these activities:

Review Mapping Data Flows

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Improve your understanding of Mapping Data Flows concepts before starting the course.

Browse courses on Mapping Data Flows

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Review the Mapping Data Flows documentation.
Complete a beginner-level tutorial on Mapping Data Flows.

Create a Simple Mapping Data Flow

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Build a basic Mapping Data Flow to practice your skills and reinforce the concepts covered in the course.

Browse courses on Mapping Data Flows

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Create an Azure Data Factory.
Create a Mapping Data Flow.
Add a data source and a data sink.
Transform the data using simple operations.
Publish the Mapping Data Flow.

Explore Advanced Mapping Data Flow Techniques

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Expand your knowledge of Mapping Data Flows by following guided tutorials that cover advanced techniques, giving you a deeper understanding and enabling you to tackle more complex data integration challenges.

Browse courses on Mapping Data Flows

Show steps

Find tutorials on advanced Mapping Data Flow techniques.
Follow the tutorials to learn about these techniques.
Practice the techniques in your own Azure Data Factory.

One other activity

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Build a Mapping Data Flow for a Real-World Scenario

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Create a Mapping Data Flow that solves a real-world data integration problem, allowing you to apply your knowledge and demonstrate your proficiency.

Browse courses on Mapping Data Flows

Show steps

Identify a real-world data integration scenario.
Design a Mapping Data Flow to implement the scenario.
Create the Mapping Data Flow in Azure Data Factory.
Test and validate the Mapping Data Flow.
Document the Mapping Data Flow.

Career center

Learners who complete Creating Mapping Data Flows on Azure Data Factory will develop knowledge and skills that may be useful to these careers:

Data Engineer

As a Data Engineer, you will be responsible for the design, development, and maintenance of data pipelines and infrastructure. This course on Creating Mapping Data Flows on Azure Data Factory will provide you with the skills and knowledge you need to succeed in this role. You will learn how to use mapping data flows to perform transformations on ADF, which is a key part of the data engineering process. With the skills you gain from this course, you will be well-equipped to enter or advance your career as a Data Engineer.

See salaries and explore the career path for Data Engineer

Data Analyst

Data Analysts use their skills in data wrangling, data analysis, and data visualization to help businesses make informed decisions. This course on Creating Mapping Data Flows on Azure Data Factory will help you build a foundation in data wrangling, which is a key part of the data analysis process. You will learn how to use mapping data flows to perform transformations on ADF, which will help you to prepare data for analysis. With the skills you gain from this course, you will be well-equipped to enter or advance your career as a Data Analyst.

See salaries and explore the career path for Data Analyst

Database Administrator

As a Database Administrator, you will be responsible for the installation, maintenance, and performance tuning of databases. This course on Creating Mapping Data Flows on Azure Data Factory may be useful to you in this role, as it will teach you how to use mapping data flows to perform transformations on ADF. This knowledge will help you to better understand the data flow process and how to optimize database performance.

See salaries and explore the career path for Database Administrator

Business Intelligence Analyst

Business Intelligence Analysts use data to help businesses make informed decisions. This course on Creating Mapping Data Flows on Azure Data Factory may be useful to you in this role, as it will teach you how to use mapping data flows to perform transformations on ADF. This knowledge will help you to better understand the data flow process and how to prepare data for analysis.

See salaries and explore the career path for Business Intelligence Analyst

Data Scientist

Data Scientists use their skills in data wrangling, data analysis, and machine learning to help businesses solve complex problems. This course on Creating Mapping Data Flows on Azure Data Factory may be useful to you in this role, as it will teach you how to use mapping data flows to perform transformations on ADF. This knowledge will help you to better understand the data flow process and how to prepare data for analysis and modeling.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, and maintain software applications. This course on Creating Mapping Data Flows on Azure Data Factory may be useful to you in this role, as it will teach you how to use mapping data flows to perform transformations on ADF. This knowledge will help you to better understand the data flow process and how to integrate data into software applications.

See salaries and explore the career path for Software Engineer

Cloud Engineer

Cloud Engineers design, build, and maintain cloud computing systems. This course on Creating Mapping Data Flows on Azure Data Factory may be useful to you in this role, as it will teach you how to use mapping data flows to perform transformations on ADF. This knowledge will help you to better understand the data flow process and how to manage data in the cloud.

See salaries and explore the career path for Cloud Engineer

Data Architect

Data Architects design and build data management systems. This course on Creating Mapping Data Flows on Azure Data Factory may be useful to you in this role, as it will teach you how to use mapping data flows to perform transformations on ADF. This knowledge will help you to better understand the data flow process and how to design data management systems.

See salaries and explore the career path for Data Architect

ETL Developer

ETL Developers design and build data pipelines that extract, transform, and load data from one system to another. This course on Creating Mapping Data Flows on Azure Data Factory will provide you with the skills and knowledge you need to succeed in this role. You will learn how to use mapping data flows to perform transformations on ADF, which is a key part of the ETL process. With the skills you gain from this course, you will be well-equipped to enter or advance your career as an ETL Developer.

See salaries and explore the career path for ETL Developer

Reading list

We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Creating Mapping Data Flows on Azure Data Factory.

Python Data Science Essentials

Save

Is an excellent prerequisite for this course, especially if you have no prior experience with Python. It will provide important background information on Python and its key concepts, including data engineering and ADF.

Python Data Science Essentials: A practitioner’s...

Kindle Edition

Python Data Science Essentials: Become an Efficient...

Paperback

Python Data Science Essentials - Second Edition:...

Paperback

Exploring Management

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Beginner's guide to Azure Data Factory. It covers the basics of ADF, as well as more advanced topics such as data integration and data transformation. It practical guide that can help you get started with ADF quickly.

Data Pipelines Pocket Reference

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Serves as a quick reference guide for Azure Data Factory pipelines.

Data Pipelines Pocket Reference: Moving and...

Paperback

Data Pipelines Pocket Reference: Moving and...

Kindle Edition

Deep-Dive Terraform on Azure

Save

Covers topics related to data engineering on Azure, including data pipelines with Azure Data Factory.

Deep-Dive Terraform on Azure

Paperback

Check price

Deep-Dive Terraform on Azure

Kindle Edition

Check price

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Time

186 hours

Level

Intermediate

Via

Pluralsight

Instructor

Emilio Melo

Language

English

Good to know

Taught by Emilio Melo, who is considered a subject matter expert in data engineering

Covers mapping data flows on Azure Data Factory, a highly sought-after skill in the industry

Provides hands-on experience with simple and complex data flow operations

Assumes basic understanding of data engineering concepts, making it suitable for intermediate learners

Requires access to Azure Data Factory, which may require a paid subscription

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