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Create Mapping Data Flows in Azure Data Factory

Priya Jha

In this 1 hour long project-based course, we’ll learn to create a mapping data flow on the azure data factory. First, we’ll learn to create an azure data factory on the Azure portal. Then we’ll learn to create an azure storage account so that we could store the source data on the blob containers. We’ll learn to configure the source and the sink transformation. We’ll learn to work with basic data flow transformations such as select, filters, sort, joins , derived columns, and conditional split transformations. We’ll learn to create a simple mapping data flow in the azure data factory. We’ll also learn to create and combine multiple streams of data on mapping data flows. Finally, we’ll also learn to store the transformed data to the destination.

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In this 1 hour long project-based course, we’ll learn to create a mapping data flow on the azure data factory. First, we’ll learn to create an azure data factory on the Azure portal. Then we’ll learn to create an azure storage account so that we could store the source data on the blob containers. We’ll learn to configure the source and the sink transformation. We’ll learn to work with basic data flow transformations such as select, filters, sort, joins , derived columns, and conditional split transformations. We’ll learn to create a simple mapping data flow in the azure data factory. We’ll also learn to create and combine multiple streams of data on mapping data flows. Finally, we’ll also learn to store the transformed data to the destination.

You must have an Azure account prior.

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What's inside

Syllabus

Project Overview
In this 1 hour long project-based course, we’ll learn to create a mapping data flow on the azure data factory. First, we’ll learn to create an azure data factory on the Azure portal. Then we’ll learn to create an azure storage account so that we could store the source data on the blob containers. We’ll learn to configure the source and the sink transformation. We’ll learn to work with basic data flow transformations such as select, filters, sort, joins , derived columns, and conditional split transformations. We’ll learn to create a simple mapping data flow in the azure data factory. We’ll also learn to create and combine multiple streams of data on mapping data flows. Finally, we’ll also learn to store the transformed data to the destination.

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Know what's good
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, and possible dealbreakers
Helps learners create a mapping data flow on Azure data factory, a useful tool in data science
Teaches about creating data sources on Azure portal, crucial for data analysis and storage
Covers basic data flow transformations like select, filters, and joins, which are widely used in data processing

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Activities

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Career center

Learners who complete Create Mapping Data Flows in Azure Data Factory will develop knowledge and skills that may be useful to these careers:
Data Integration Specialist
Integrate data from multiple sources to create a single, unified view of data. Data Integration Specialists help businesses improve data quality and accessibility. This course can help you build a strong foundation in mapping data flows, a skill that is essential for integrating data from different sources.
See salaries and explore the career path for Data Integration Specialist
ETL Developer
Develop and maintain extract, transform, and load (ETL) processes. ETL Developers help businesses move data between different systems and applications. This course can help you develop the skills needed to map data flows, which is a critical part of designing and implementing ETL processes.
See salaries and explore the career path for ETL Developer
Data Warehouse Engineer
Design, implement, and maintain data warehouses. Data Warehouse Engineers ensure that businesses have access to the data they need to make informed decisions. This course can help you build a foundation in mapping data flows, a skill that is essential for designing and managing data warehouses.
See salaries and explore the career path for Data Warehouse Engineer
Data Architect
Design and manage data architectures. Data Architects ensure that businesses have the data infrastructure they need to meet their business objectives. This course can help you build a foundation in mapping data flows, a skill that is essential for designing and managing data architectures.
See salaries and explore the career path for Data Architect
Database Developer
Design and develop databases. Database Developers build and maintain the databases that store and manage data. This course can help you build a foundation in mapping data flows, a skill that is essential for designing and developing efficient and scalable databases.
See salaries and explore the career path for Database Developer
Database Administrator
Design, implement, and maintain databases. Database Administrators ensure that data is stored, organized, and accessed efficiently. This course can help you build a strong foundation in mapping data flows, a skill that is useful for managing and optimizing data storage.
See salaries and explore the career path for Database Administrator
Business Intelligence Analyst
Gather, analyze, and interpret data to provide insights to businesses. Business Intelligence Analysts help organizations make data-driven decisions by identifying opportunities and risks. This course can help you understand mapping data flows, which can help you create data visualizations and reports.
See salaries and explore the career path for Business Intelligence Analyst
Cloud Architect
Design, implement, and manage cloud computing systems. Cloud Architects ensure that cloud-based applications and services are efficient, scalable, and secure. This course can help you understand how to map data flows in the cloud, which is a critical skill for designing and managing cloud-based data solutions.
See salaries and explore the career path for Cloud Architect
Data Scientist
Develop and implement machine learning algorithms to solve complex business problems. Data Scientists use data to build predictive models and identify trends. This course can help you understand the basics of mapping data flows, which can be used to prepare data for machine learning models.
See salaries and explore the career path for Data Scientist
Data Analyst
Analyze data to extract meaningful insights and trends. Data Analysts help businesses make informed decisions by identifying patterns and relationships in data. This course may help you understand mapping data flows, which can help you quickly create and manage data pipelines for analysis.
See salaries and explore the career path for Data Analyst
Big Data Engineer
Develop and manage big data systems. Big Data Engineers work with large and complex datasets to extract insights and value. This course may help you build a foundation in mapping data flows, a skill that is essential for managing and processing big data.
See salaries and explore the career path for Big Data Engineer
Information Security Analyst
Protect data from unauthorized access and use. Information Security Analysts identify and mitigate security risks to data. This course may help you build a foundation in mapping data flows, a skill that can be applied to designing and implementing data security measures.
See salaries and explore the career path for Information Security Analyst
Software Engineer
Develop, test, and maintain software applications. Software Engineers build and maintain the software systems that businesses rely on. This course may help you build a foundation in mapping data flows, a skill that can be applied to designing and developing data-intensive applications.
See salaries and explore the career path for Software Engineer
Machine Learning Engineer
Develop and implement machine learning models. Machine Learning Engineers build and maintain the models that power machine learning applications. This course may help you build a foundation in mapping data flows, a skill that is useful for preparing data for machine learning models.
See salaries and explore the career path for Machine Learning Engineer
Data Engineer
Develop, build, and maintain complex data architectures. As a Data Engineer, you will ensure that data is efficiently stored, processed, and analyzed. This course may be useful in building the necessary foundation in mapping data flows, which are used by Data Engineers to integrate data from various sources.
See salaries and explore the career path for Data Engineer

Reading list

We've selected seven 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 Create Mapping Data Flows in Azure Data Factory.
Cover image
Enterprise Integration Patterns
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Provides an in-depth exploration of data integration patterns, which can help learners design and implement effective data flows in Azure Data Factory.
Enterprise Integration Patterns: Designing,...
Hardcover
$$$
Enterprise Integration Patterns: Designing,...
Kindle Edition
$$$
Cover image
The Kimball Group Reader
Save
Covers data mapping techniques and best practices, which are essential for understanding the data transformation processes used in Azure Data Factory.
The Kimball Group Reader
Paperback
Check
The Kimball Group Reader
Kindle Edition
Check
Cover image
Wireless Communication
Save
An introductory guide to Azure Data Factory, including a section on mapping data flows.
Wireless Communication
Paperback
Check
Wireless Communication
Kindle Edition
Check
Cover image
Business Analytics
Save
Is an introduction to Azure Data Engineering. It covers topics such as data storage, data processing, and data analytics. This book is particularly useful for readers who are new to Azure Data Services.
Business Analytics
Paperback
Check
Business Analytics
Kindle Edition
Check
Cover image
Comdex 14-In-1 Computer Course Kit, 2008 Edition...
Save
Provides a guide to using Azure Data Factory for data engineers, including how to create and manage data pipelines, as well as how to use them to transform and integrate data.
Comdex 14-In-1 Computer Course Kit, 2008 Edition...
Paperback
Check
Comdex 14-In-1 Computer Course Kit, 2008 Edition...
Kindle Edition
Check
Cover image
Handbook of Construction Management for...
Save
Provides a guide to using Azure Data Factory for software engineers, including how to create and manage data pipelines, as well as how to use them to transform and integrate data.
Handbook of Construction Management for...
Paperback
Check
Handbook of Construction Management for...
Kindle Edition
Check
Cover image
Comdex Computer And Financial Accounting With Tally...
Save
Provides a guide to using Azure Data Factory for architects, including how to design and implement data pipelines, as well as how to use them to transform and integrate data.
Comdex Computer And Financial Accounting With Tally...
Paperback
Check
Comdex Computer And Financial Accounting With Tally...
Kindle Edition
Check

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Effort
1.5 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Priya Jha
Language
English
Good to know
Helps learners create a mapping data flow on Azure data factory, a useful tool in data science
Teaches about creating data sources on Azure portal, crucial for data analysis and storage
Covers basic data flow transformations like select, filters, and joins, which are widely used in data processing
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