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Emilio Melo
Data engineering is a hot topic in IT right now, as the velocity, volume, and variety of data nowadays require skills beyond just traditional ETL. This course will teach you how to manage data pipelines on Azure as preparation for the DP-203 exam.
Read more
Data engineering is a hot topic in IT right now, as the velocity, volume, and variety of data nowadays require skills beyond just traditional ETL. This course will teach you how to manage data pipelines on Azure as preparation for the DP-203 exam.
Read more
Data engineering is a hot topic in IT right now, as the velocity, volume, and variety of data nowadays require skills beyond just traditional ETL. This course will teach you how to manage data pipelines on Azure as preparation for the DP-203 exam.
Nowadays data is everywhere, and companies are increasingly interested in transforming this data on insights that can help them become more efficient and productive. In this course, Optimize Data Pipelines with Azure Services, you’ll learn to manage and optimize pipelines on Azure. First, you’ll explore how to manage pipelines. Next, you’ll discover how and when to execute them through triggers. Finally, you’ll learn how to perform error-handling and retries for your pipelines. When you’re finished with this course, you’ll have the skills and knowledge of data pipelines on Azure Services needed for the exam DP-203.
Register for this course and see more details by visiting:
OpenCourser.com/course/ugtryy/optimize
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What's inside
Syllabus
Course Overview
Managing Azure Data Pipelines
Pipeline Scheduling and Error-handling
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Designed for individuals preparing for the DP-203 exam
Focuses on managing data pipelines on Azure
Suitable for experienced data engineers seeking to enhance their Azure skills
Taught by Emilio Melo, a certified instructor in Azure data engineering
Covers fundamental concepts and practical techniques for optimizing data pipelines
Save this course
Save Optimize Data Pipelines with Azure Data Factory and Synapse Analytics 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 Optimize Data Pipelines with Azure Data Factory and Synapse Analytics with these
activities:
Review relational database concepts
Show steps
Sharpen your understanding of relational database principles to enhance your comprehension of data pipelines.
Browse courses on
Relational Databases
Show steps
-
Review key concepts like tables, columns, and relationships.
-
Practice writing SQL queries to retrieve and manipulate data.
Follow tutorials on Azure Data Lake Storage and Azure Synapse Analytics
Show steps
Expand your understanding of Azure's data storage and analytics services by exploring official tutorials and documentation.
Show steps
-
Learn how to store and manage large amounts of data using Azure Data Lake Storage.
-
Explore the capabilities of Azure Synapse Analytics for data warehousing and analytics.
Collaborate on a project with peers
Show steps
Enhance your learning experience by working with peers on a project related to data pipelines, fostering collaboration and knowledge exchange.
Show steps
-
Form a study group with fellow students.
-
Choose a project that aligns with the course objectives and your interests.
-
Define project goals, roles, and responsibilities.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Design a data pipeline architecture
Show steps
Develop a comprehensive plan for implementing a data pipeline by outlining its components and their interactions.
Show steps
-
Identify data sources and their characteristics.
-
Determine the data transformations and processing required.
-
Select and configure appropriate Azure services for data ingestion, storage, and processing.
Attend a workshop on Azure Data Pipelines
Show steps
Gain practical experience and insights from experts by participating in a workshop dedicated to Azure Data Pipelines.
Show steps
-
Register for and attend an Azure Data Pipelines workshop.
-
Participate actively in hands-on exercises and discussions.
Seek guidance from experienced Azure data engineers
Show steps
Accelerate your learning by connecting with experienced professionals who can provide valuable insights and support.
Show steps
-
Identify potential mentors within your network or through online platforms.
-
Reach out to mentors and request guidance on data pipeline implementation and best practices.
Perform hands-on exercises on Azure Data Factory
Show steps
Strengthen your proficiency in Azure Data Factory by completing practical exercises that simulate real-world scenarios.
Show steps
-
Create and configure data pipelines using the Azure Data Factory portal.
-
Use Azure Data Factory activities to perform data transformations and data movement.
-
Monitor and troubleshoot data pipelines using Azure Data Factory tools.
Participate in a data pipeline hackathon or competition
Show steps
Challenge yourself and showcase your skills by participating in a competition focused on data pipeline design and implementation.
Show steps
-
Identify and register for a relevant hackathon or competition.
-
Form a team or work individually on a data pipeline project.
-
Develop and present your solution to a panel of experts.
Review relational database concepts
Show steps
Sharpen your understanding of relational database principles to enhance your comprehension of data pipelines.
Browse courses on
Relational Databases
Show steps
Show steps
Show steps
- Review key concepts like tables, columns, and relationships.
- Practice writing SQL queries to retrieve and manipulate data.
Follow tutorials on Azure Data Lake Storage and Azure Synapse Analytics
Show steps
Expand your understanding of Azure's data storage and analytics services by exploring official tutorials and documentation.
Show steps
Show steps
Show steps
- Learn how to store and manage large amounts of data using Azure Data Lake Storage.
- Explore the capabilities of Azure Synapse Analytics for data warehousing and analytics.
Collaborate on a project with peers
Show steps
Enhance your learning experience by working with peers on a project related to data pipelines, fostering collaboration and knowledge exchange.
Show steps
Show steps
Show steps
- Form a study group with fellow students.
- Choose a project that aligns with the course objectives and your interests.
- Define project goals, roles, and responsibilities.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Design a data pipeline architecture
Show steps
Develop a comprehensive plan for implementing a data pipeline by outlining its components and their interactions.
Show steps
Show steps
Show steps
- Identify data sources and their characteristics.
- Determine the data transformations and processing required.
- Select and configure appropriate Azure services for data ingestion, storage, and processing.
Attend a workshop on Azure Data Pipelines
Show steps
Gain practical experience and insights from experts by participating in a workshop dedicated to Azure Data Pipelines.
Show steps
Show steps
Show steps
- Register for and attend an Azure Data Pipelines workshop.
- Participate actively in hands-on exercises and discussions.
Seek guidance from experienced Azure data engineers
Show steps
Accelerate your learning by connecting with experienced professionals who can provide valuable insights and support.
Show steps
Show steps
Show steps
- Identify potential mentors within your network or through online platforms.
- Reach out to mentors and request guidance on data pipeline implementation and best practices.
Perform hands-on exercises on Azure Data Factory
Show steps
Strengthen your proficiency in Azure Data Factory by completing practical exercises that simulate real-world scenarios.
Show steps
Show steps
Show steps
- Create and configure data pipelines using the Azure Data Factory portal.
- Use Azure Data Factory activities to perform data transformations and data movement.
- Monitor and troubleshoot data pipelines using Azure Data Factory tools.
Participate in a data pipeline hackathon or competition
Show steps
Challenge yourself and showcase your skills by participating in a competition focused on data pipeline design and implementation.
Show steps
Show steps
Show steps
- Identify and register for a relevant hackathon or competition.
- Form a team or work individually on a data pipeline project.
- Develop and present your solution to a panel of experts.
Career center
Learners who complete Optimize Data Pipelines with Azure Data Factory and Synapse Analytics will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
The course, Optimize Data Pipelines with Azure Data Factory and Synapse Analytics, teaches you the management and optimization of data pipelines on Azure. This course can help you become a successful Data Engineer with its focus on teaching you to manage, execute, and error-correct data pipelines.
Data Pipeline Engineer
Data Pipeline Engineer
This course can help you become a successful Data Pipeline Engineer with its focus on teaching you to manage, execute, and error-correct data pipelines.
Big Data Engineer
Big Data Engineer
If you want to be a Big Data Engineer, then this course is a great start on your journey. Gaining the skills and knowledge of data pipelines with Azure will help you along your way to becoming a Big Data Engineer.
Cloud Engineer
Cloud Engineer
Cloud Engineers need a solid grasp of data pipelines on Azure. Learn to manage, execute, and error-correct data pipelines with this course.
Data Architect
Data Architect
Data Architects who know how to manage pipelines on Azure are highly sought after in today's tech market. Consider taking this course to help build a foundation for your career as a Data Architect.
Azure Data Engineer
Azure Data Engineer
As an Azure Data Engineer, the course Optimize Data Pipelines with Azure Data Factory and Synapse Analytics can be the key to a promotion or transfer into the AP team.
Data Analyst
Data Analyst
The course Optimize Data Pipelines with Azure Data Factory and Synapse Analytics will put the skills and knowledge of data pipelining at your fingertips. This is a valuable piece of the data analyst skillset for anyone who wishes to enter this field.
Data Scientist
Data Scientist
Data Scientists who know how to manage pipelines on Azure are highly sought after in today's tech market. Consider taking this course to help build a foundation for your career as a Data Scientist.
Database Administrator
Database Administrator
Database Administrators may use this course to supplement their knowledge of data pipelines, particularly on Azure.
Software Engineer
Software Engineer
This course may help you on your journey to becoming a Software Engineer.
Systems Engineer
Systems Engineer
This course may help build your foundational knowledge on your path to becoming a Systems Engineer.
Network Engineer
Network Engineer
This course may help build your foundational knowledge on your path to becoming a Network Engineer.
IT Specialist
IT Specialist
This course may help build your foundational knowledge on your path to becoming an IT Specialist.
IT Manager
IT Manager
This course may help build your foundational knowledge on your path to becoming an IT Manager.
Cloud Architect
Cloud Architect
This course may help build your foundational knowledge on your path to becoming a Cloud Architect.
For more career information including salaries, visit:
OpenCourser.com/course/ugtryy/optimize
Reading list
We've selected one 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
Optimize Data Pipelines with Azure Data Factory and Synapse Analytics.
Serves as a good starting point for those who are new to Azure Data Factory.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ugtryy/optimize
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Time
50 hours
Level
Advanced
Via
Pluralsight
Instructor
Emilio Melo
Language
English
Good to know
Designed for individuals preparing for the DP-203 exam
Focuses on managing data pipelines on Azure
Suitable for experienced data engineers seeking to enhance their Azure skills
Taught by Emilio Melo, a certified instructor in Azure data engineering
Covers fundamental concepts and practical techniques for optimizing data pipelines
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