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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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
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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 ,
what to watch for , 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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Save Create Mapping Data Flows in Azure Data Factory to your list so you can find it easily later:
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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 Create Mapping Data Flows in Azure Data Factory with these
activities:
Review Data Flow transformations
Show steps
Review the different types of data flow transformations to refresh your knowledge and prepare for the course.
Show steps
-
Read the Azure documentation on data flow transformations.
-
Create a practice data flow in the Azure Data Factory.
-
Apply different transformations to the data flow.
Practice creating data flows
Show steps
Practice creating data flows to solidify your understanding of the concepts and techniques.
Browse courses on
Azure Data Factory
Show steps
-
Follow the tutorials in the Azure documentation.
-
Create your own data flows.
-
Share your data flows with others.
Create a blog post about data flows
Show steps
Create a blog post about data flows to share your knowledge and help others learn.
Browse courses on
Azure Data Factory
Show steps
-
Choose a topic for your blog post.
-
Research the topic and gather information.
-
Write the blog post.
-
Publish the blog post.
Show all three activities
Review Data Flow transformations
Show steps
Review the different types of data flow transformations to refresh your knowledge and prepare for the course.
Show steps
Show steps
Show steps
- Read the Azure documentation on data flow transformations.
- Create a practice data flow in the Azure Data Factory.
- Apply different transformations to the data flow.
Practice creating data flows
Show steps
Practice creating data flows to solidify your understanding of the concepts and techniques.
Browse courses on
Azure Data Factory
Show steps
Show steps
Show steps
- Follow the tutorials in the Azure documentation.
- Create your own data flows.
- Share your data flows with others.
Create a blog post about data flows
Show steps
Create a blog post about data flows to share your knowledge and help others learn.
Browse courses on
Azure Data Factory
Show steps
Show steps
Show steps
- Choose a topic for your blog post.
- Research the topic and gather information.
- Write the blog post.
- Publish the blog post.
Show all three activities
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
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.
ETL Developer
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.
Data Warehouse Engineer
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.
Data Architect
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.
Database Developer
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.
Database Administrator
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.
Business Intelligence Analyst
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.
Cloud Architect
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.
Data Scientist
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.
Data Analyst
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.
Big Data Engineer
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.
Information Security Analyst
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.
Software Engineer
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.
Machine Learning 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.
Data 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.
For more career information including salaries, visit:
OpenCourser.com/course/rtuqdp/create
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.
Provides an in-depth exploration of data integration patterns, which can help learners design and implement effective data flows in Azure Data Factory.
Covers data mapping techniques and best practices, which are essential for understanding the data transformation processes used in Azure Data Factory.
An introductory guide to Azure Data Factory, including a section on mapping data flows.
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.
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.
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.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rtuqdp/create
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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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