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Brian Roehm
The recommended order of courses to prepare for the DP-203: Data Engineering on Microsoft Azure certification is as follows: * Building an Azure Data Engineer Foundation * Data Ingestion and Preparation * Processing in Azure Using Batch Solutions * Processing in Azure Using Streaming Solutions * Secure, Monitor, and Optimize Data Storage and Processing Finally, use the practice exams to test your understanding for the exam. In this course, *DP-203: Building an Azure Data Engineer Foundation*, you’ll learn to partition, secure, and query your data, both in batch and streaming solutions, within Microsoft Azure. First, you’ll explore the foundations of data engineering in Azure. Next, you’ll discover how to design and implement partition strategies for several solutions and services in Azure. Finally, you’ll learn how to query, secure, and manage data governance within Azure. When you’re finished with this course, you’ll have the skills and knowledge of data engineering in Azure needed to design data solutions in Azure that can scale up to petabytes without compromising performance or governance.
Register for this course and see more details by visiting:
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Examines foundational concepts in data engineering in Azure, which is standard in industry
Teaches students how to design and implement partition strategies for several solutions and services in Azure, which is a core skill for azure data engineers
Provides guidance on how to query, secure, and manage data governance within Azure, which is a core skill for azure data engineers
Taught by Brian Roehm, who is recognized for their work in data engineering
Helps students develop the skills and knowledge of data engineering in Azure needed to design data solutions in Azure that can scale up to petabytes without compromising performance or governance, which is highly relevant to industry
Recommended to take as part of a larger series of courses to prepare for the DP-203: Data Engineering on Microsoft Azure certification
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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 DP-203: Building an Azure Data Engineer Foundation with these
activities:
Review Fundamentals of Microsoft Azure
Show steps
Deepen your understanding of Azure fundamentals to enhance your comprehension of data engineering concepts covered in this course.
Browse courses on
Azure Fundamentals
Show steps
-
Revisit Microsoft Azure documentation
-
Complete Microsoft Azure Fundamentals training
-
Take practice tests or quizzes on Azure fundamentals
Explore Azure Synapse Analytics
Show steps
Gain practical experience with Azure Synapse Analytics to reinforce concepts related to data storage and processing in Azure.
Browse courses on
Azure Synapse Analytics
Show steps
-
Follow Microsoft's tutorials on Azure Synapse Analytics
-
Create a Synapse Analytics workspace and explore its features
-
Load and query data using Synapse SQL
Data Partitioning Exercises
Show steps
Enhance your understanding of data partitioning techniques through practical exercises, solidifying your ability to design scalable and efficient data pipelines.
Browse courses on
Data Partitioning
Show steps
-
Solve problems on data partitioning strategies
-
Implement data partitioning in Azure Storage or Azure SQL Database
-
Evaluate the performance impact of different partitioning schemes
Three other activities
Expand to see all activities and additional details
Show all six activities
Data Governance Discussion Group
Show steps
Engage in discussions and share knowledge on data governance practices and regulations within Azure, fostering a deeper understanding of data management responsibilities.
Browse courses on
Data Governance
Show steps
-
Join or form a study group focused on data governance
-
Prepare and present a topic related to data governance
-
Collaborate on a data governance project or case study
Design an Azure Data Lake Solution
Show steps
Apply your knowledge by designing and implementing an Azure Data Lake solution, demonstrating your proficiency in data storage and processing within Azure.
Browse courses on
Azure Data Lake
Show steps
-
Define the requirements and scope of the Azure Data Lake solution
-
Design the data architecture and storage strategy
-
Implement the solution using Azure Storage and Azure Data Lake Analytics
-
Document and present your solution
Data Engineering Project
Show steps
Undertake a substantial data engineering project to synthesize and apply the concepts learned throughout the course, showcasing your ability to build and manage complex data solutions.
Browse courses on
Data Pipelines
Show steps
-
Identify a data engineering problem or opportunity
-
Design and implement a data pipeline using Azure services
-
Evaluate and optimize the performance of your solution
-
Present your project and its outcomes
Review Fundamentals of Microsoft Azure
Show steps
Deepen your understanding of Azure fundamentals to enhance your comprehension of data engineering concepts covered in this course.
Browse courses on
Azure Fundamentals
Show steps
Show steps
Show steps
- Revisit Microsoft Azure documentation
- Complete Microsoft Azure Fundamentals training
- Take practice tests or quizzes on Azure fundamentals
Explore Azure Synapse Analytics
Show steps
Gain practical experience with Azure Synapse Analytics to reinforce concepts related to data storage and processing in Azure.
Browse courses on
Azure Synapse Analytics
Show steps
Show steps
Show steps
- Follow Microsoft's tutorials on Azure Synapse Analytics
- Create a Synapse Analytics workspace and explore its features
- Load and query data using Synapse SQL
Data Partitioning Exercises
Show steps
Enhance your understanding of data partitioning techniques through practical exercises, solidifying your ability to design scalable and efficient data pipelines.
Browse courses on
Data Partitioning
Show steps
Show steps
Show steps
- Solve problems on data partitioning strategies
- Implement data partitioning in Azure Storage or Azure SQL Database
- Evaluate the performance impact of different partitioning schemes
Three other activities
Expand to see all activities and additional details
Show all six activities
Data Governance Discussion Group
Show steps
Engage in discussions and share knowledge on data governance practices and regulations within Azure, fostering a deeper understanding of data management responsibilities.
Browse courses on
Data Governance
Show steps
Show steps
Show steps
- Join or form a study group focused on data governance
- Prepare and present a topic related to data governance
- Collaborate on a data governance project or case study
Design an Azure Data Lake Solution
Show steps
Apply your knowledge by designing and implementing an Azure Data Lake solution, demonstrating your proficiency in data storage and processing within Azure.
Browse courses on
Azure Data Lake
Show steps
Show steps
Show steps
- Define the requirements and scope of the Azure Data Lake solution
- Design the data architecture and storage strategy
- Implement the solution using Azure Storage and Azure Data Lake Analytics
- Document and present your solution
Data Engineering Project
Show steps
Undertake a substantial data engineering project to synthesize and apply the concepts learned throughout the course, showcasing your ability to build and manage complex data solutions.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Identify a data engineering problem or opportunity
- Design and implement a data pipeline using Azure services
- Evaluate and optimize the performance of your solution
- Present your project and its outcomes
Career center
Learners who complete DP-203: Building an Azure Data Engineer Foundation will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers are responsible for building and maintaining data pipelines, ensuring that data is properly ingested, processed, and stored. This course can provide you with the skills and knowledge needed to succeed in this role, as it covers topics such as data ingestion, processing, and storage, which are essential for building and maintaining data pipelines.
Data Architect
Data Architect
Data Architects are responsible for designing and managing the architecture of data systems, ensuring that they are efficient, scalable, and secure. This course, "DP-203: Building an Azure Data Engineer Foundation," can provide you with the skills and knowledge needed to succeed in this role, as it covers topics such as data partitioning, security, and governance, which are essential for designing and implementing data systems.
Data Analyst
Data Analyst
Data Analysts are responsible for analyzing data to identify trends and patterns, and to make recommendations for business decisions. This course can provide you with the skills and knowledge needed to succeed in this role, as it covers topics such as data querying and analysis, which are essential for analyzing data to identify trends and patterns.
Privacy Engineer
Privacy Engineer
Privacy Engineers are responsible for designing and implementing privacy controls to protect data from unauthorized access and misuse. This course can provide you with the skills and knowledge needed to succeed in this role, as it covers topics such as data security and governance, which are essential for designing and implementing privacy controls.
Security Analyst
Security Analyst
Security Analysts are responsible for monitoring and analyzing security data to identify and respond to security threats. This course can provide you with the skills and knowledge needed to succeed in this role, as it covers topics such as data security and governance, which are essential for monitoring and analyzing security data to identify and respond to security threats.
Compliance Analyst
Compliance Analyst
Compliance Analysts are responsible for ensuring that an organization complies with regulatory requirements. This course can provide you with the skills and knowledge needed to succeed in this role, as it covers topics such as data security and governance, which are essential for ensuring that an organization complies with regulatory requirements.
Data Scientist
Data Scientist
Data Scientists are responsible for analyzing data to extract insights and develop predictive models. This course can provide you with the skills and knowledge needed to succeed in this role, as it covers topics such as data querying and analysis, which are essential for extracting insights from data.
Risk Analyst
Risk Analyst
Risk Analysts are responsible for identifying, assessing, and mitigating risks to an organization. This course can provide you with the skills and knowledge needed to succeed in this role, as it covers topics such as data security and governance, which are essential for identifying, assessing, and mitigating risks to an organization.
Consultant
Consultant
Consultants are responsible for providing advice and guidance to organizations on a variety of topics, including data management and governance. This course can provide you with the skills and knowledge needed to succeed in this role, as it covers topics such as data security and governance, which are essential for providing advice and guidance to organizations on a variety of topics, including data management and governance.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts are responsible for gathering and analyzing data to provide insights for business decisions. This course can provide you with the skills and knowledge needed to succeed in this role, as it covers topics such as data querying and analysis, which are essential for gathering and analyzing data to provide insights for business decisions.
Auditor
Auditor
Auditors are responsible for examining and evaluating an organization's financial and operational records to ensure accuracy and compliance. This course can provide you with the skills and knowledge needed to succeed in this role, as it covers topics such as data security and governance, which are essential for examining and evaluating an organization's financial and operational records to ensure accuracy and compliance.
Data Governance Specialist
Data Governance Specialist
Data Governance Specialists are responsible for developing and implementing data governance policies and procedures to ensure that data is used in a consistent and ethical manner. This course can provide you with the skills and knowledge needed to succeed in this role, as it covers topics such as data security and governance, which are essential for developing and implementing data governance policies and procedures.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases, ensuring that they are performant, reliable, and secure. This course can provide you with the skills and knowledge needed to succeed in this role, as it covers topics such as data security and governance, which are essential for managing and maintaining databases.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. This course can provide you with the skills and knowledge needed to succeed in this role, as it covers topics such as data storage and processing, which are essential for designing and developing software applications.
Cloud Engineer
Cloud Engineer
Cloud Engineers are responsible for designing, building, and maintaining cloud-based infrastructure. This course can provide you with the skills and knowledge needed to succeed in this role, as it covers topics such as data storage and processing in the cloud, which are essential for designing and building cloud-based infrastructure.
For more career information including salaries, visit:
OpenCourser.com/course/nwdu1j/dp
Reading list
We've selected two 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
DP-203: Building an Azure Data Engineer Foundation.
Covers the security features and best practices available within Azure for protecting data at rest and in transit. Provides valuable insights for those seeking to implement robust security measures.
Provides a comprehensive guide to Data Analytics with Power BI. It's particularly useful as a reference tool on the relevant technologies.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/nwdu1j/dp
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Time
360 hours
Level
Advanced
Via
Pluralsight
Instructor
Brian Roehm
Language
English
Good to know
Examines foundational concepts in data engineering in Azure, which is standard in industry
Teaches students how to design and implement partition strategies for several solutions and services in Azure, which is a core skill for azure data engineers
Provides guidance on how to query, secure, and manage data governance within Azure, which is a core skill for azure data engineers
Taught by Brian Roehm, who is recognized for their work in data engineering
Helps students develop the skills and knowledge of data engineering in Azure needed to design data solutions in Azure that can scale up to petabytes without compromising performance or governance, which is highly relevant to industry
Recommended to take as part of a larger series of courses to prepare for the DP-203: Data Engineering on Microsoft Azure certification
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