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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: Data Ingestion and Preparation*, you’ll learn the foundational knowledge you will need to be successful on the DP-203: Data Engineering on Microsoft Azure exam. First, you’ll explore Azure Synapse, Azure Databricks, Azure Data Factory, and Azure Stream Analytics. Along the way, you'll learn how to import data, split data, Shred JSON, perform data exploratory analysis, and work with pipelines. In addition, you’ll learn how to work with streaming data and deal with issues such as out-of-order data or incomplete data. When you’re finished with the course, you’ll have the data ingestion and preparation skills you need to not only pass critical questions on the DP-203 exam, but you’ll have the foundation needed to have confidence in an interview to be a successful data engineer.
Register for this course and see more details by visiting:
OpenCourser.com/course/t3tat2/dp
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores Azure Synapse, Azure Databricks, Azure Data Factory, and Azure Stream Analytics, which are industry-standard tools for data engineering on Microsoft Azure
Develops foundational skills in data ingestion, preparation, and analysis, which are essential for aspiring data engineers
Taught by Brian Roehm, a recognized expert in data engineering and Microsoft Azure
Provides hands-on labs and interactive materials, which enhance the learning experience and reinforce concepts
Is part of a series of courses designed to prepare learners for the DP-203: Data Engineering on Microsoft Azure certification
Requires learners to have some prior knowledge and experience in data engineering concepts
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Save DP-203: Data Ingestion and Preparation 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 DP-203: Data Ingestion and Preparation with these
activities:
Review Azure fundamentals
Show steps
Provide a solid foundation on Azure fundamentals to enhance understanding of data engineering concepts.
Browse courses on
Azure Fundamentals
Show steps
-
Revisit Microsoft's Azure Fundamentals course
-
Take practice quizzes and review Azure documentation
Explore Azure Synapse using tutorials
Show steps
Gain hands-on experience with Azure Synapse, a key technology for data engineering on Azure.
Browse courses on
Azure Synapse
Show steps
-
Follow Microsoft's Azure Synapse tutorials
-
Create a Synapse workspace and explore its features
Practice data ingestion and transformation
Show steps
Reinforce data ingestion and transformation techniques through repetitive exercises.
Browse courses on
Data Ingestion
Show steps
-
Solve Leetcode problems on data structures and algorithms
-
Complete coding challenges on data ingestion and transformation
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a data engineering study group
Show steps
Engage with peers, discuss concepts, and share knowledge to enhance understanding.
Show steps
-
Find a study group or create one with fellow students
-
Meet regularly to discuss course material and work on projects
Build a data pipeline project
Show steps
Apply data ingestion and transformation skills by designing and implementing a real-world data pipeline.
Browse courses on
Data Pipeline
Show steps
-
Define the project scope and requirements
-
Design the data pipeline architecture
-
Implement the pipeline using Azure technologies
-
Test and evaluate the pipeline's performance
Mentor junior data engineers
Show steps
Deepen understanding and reinforce knowledge by sharing and explaining concepts to others.
Browse courses on
Mentoring
Show steps
-
Volunteer to mentor students or junior professionals
-
Prepare materials and organize sessions
-
Provide guidance and support to mentees
Attend Azure Data Engineering workshops
Show steps
Expand knowledge and gain insights from industry experts and experienced practitioners.
Show steps
-
Identify relevant Azure Data Engineering workshops
-
Register for and attend the workshops
-
Actively participate and engage with speakers and attendees
Review Azure fundamentals
Show steps
Provide a solid foundation on Azure fundamentals to enhance understanding of data engineering concepts.
Browse courses on
Azure Fundamentals
Show steps
Show steps
Show steps
- Revisit Microsoft's Azure Fundamentals course
- Take practice quizzes and review Azure documentation
Explore Azure Synapse using tutorials
Show steps
Gain hands-on experience with Azure Synapse, a key technology for data engineering on Azure.
Browse courses on
Azure Synapse
Show steps
Show steps
Show steps
- Follow Microsoft's Azure Synapse tutorials
- Create a Synapse workspace and explore its features
Practice data ingestion and transformation
Show steps
Reinforce data ingestion and transformation techniques through repetitive exercises.
Browse courses on
Data Ingestion
Show steps
Show steps
Show steps
- Solve Leetcode problems on data structures and algorithms
- Complete coding challenges on data ingestion and transformation
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a data engineering study group
Show steps
Engage with peers, discuss concepts, and share knowledge to enhance understanding.
Show steps
Show steps
Show steps
- Find a study group or create one with fellow students
- Meet regularly to discuss course material and work on projects
Build a data pipeline project
Show steps
Apply data ingestion and transformation skills by designing and implementing a real-world data pipeline.
Browse courses on
Data Pipeline
Show steps
Show steps
Show steps
- Define the project scope and requirements
- Design the data pipeline architecture
- Implement the pipeline using Azure technologies
- Test and evaluate the pipeline's performance
Mentor junior data engineers
Show steps
Deepen understanding and reinforce knowledge by sharing and explaining concepts to others.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Volunteer to mentor students or junior professionals
- Prepare materials and organize sessions
- Provide guidance and support to mentees
Attend Azure Data Engineering workshops
Show steps
Expand knowledge and gain insights from industry experts and experienced practitioners.
Show steps
Show steps
Show steps
- Identify relevant Azure Data Engineering workshops
- Register for and attend the workshops
- Actively participate and engage with speakers and attendees
Career center
Learners who complete DP-203: Data Ingestion and Preparation will develop knowledge and skills
that may be useful to these careers:
Data Architect
Data Architect
A Data Architect is responsible for designing and implementing data solutions. They will be working on projects that involve designing data models and data pipelines. This course may be useful for a Data Architect who wants to learn more about data ingestion and preparation using Azure.
Data Integration Architect
Data Integration Architect
A Data Integration Architect is responsible for designing and implementing data integration solutions. They will be working on projects that involve integrating data from multiple sources. This course may be useful for a Data Integration Architect who wants to learn more about data ingestion and preparation using Azure.
Data Warehouse Architect
Data Warehouse Architect
A Data Warehouse Architect is responsible for designing and implementing data warehouse solutions. They will be working on projects that involve building data warehouses for data analysis. This course may be useful for a Data Warehouse Architect who wants to learn more about data ingestion and preparation using Azure.
ETL Developer
ETL Developer
An ETL Developer is responsible for developing and implementing ETL (Extract, Transform, and Load) solutions. They will be working on projects that involve extracting data from multiple sources, transforming it, and loading it into a data warehouse. This course may be useful for an ETL Developer who wants to learn more about data ingestion and preparation using Azure.
Big Data Architect
Big Data Architect
A Big Data Architect is responsible for designing and implementing big data solutions. They will be working on projects that involve processing large volumes of data. This course may be useful for a Big Data Architect who wants to learn more about data ingestion and preparation using Azure.
Data Engineer
Data Engineer
A Data Engineer is responsible for building and maintaining data pipelines. They will be integrating data from multiple sources, and preparing it for analysis. Companies hire Data Engineers to clean, integrate, and prepare data for use in machine learning. This course may be useful for a Data Engineer who wants to learn more about data ingestion and preparation using Azure.
Data Scientist
Data Scientist
A Data Scientist is responsible for developing and deploying machine learning models. They will be using data to build models that can make predictions or classifications. This course may be useful for a Data Scientist who wants to learn more about data ingestion and preparation using Azure.
Business Intelligence Developer
Business Intelligence Developer
A Business Intelligence Developer is responsible for developing and implementing business intelligence solutions. They will be working on projects that involve building dashboards and reports for data analysis. This course may be useful for a Business Intelligence Developer who wants to learn more about data ingestion and preparation using Azure.
Database Administrator
Database Administrator
A Database Administrator is in charge of the performance and security of databases. They will be responsible for creating, maintaining, and optimizing databases. This course may be useful for a Database Administrator who wants to learn more about data ingestion and preparation using Azure.
Database Developer
Database Developer
A Database Developer is responsible for designing and developing database solutions. They will be working on projects that involve creating and maintaining databases. This course may be useful for a Database Developer who wants to learn more about data ingestion and preparation using Azure.
Data Visualization Engineer
Data Visualization Engineer
A Data Visualization Engineer is responsible for designing and developing data visualization solutions. They will be working on projects that involve creating data visualizations for data analysis. This course may be useful for a Data Visualization Engineer who wants to learn more about data ingestion and preparation using Azure.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for building, deploying, and monitoring machine learning models. They will be using data to build models that can make predictions or classifications. This course may be useful for a Machine Learning Engineer who wants to learn more about data ingestion and preparation using Azure.
Data Analyst
Data Analyst
A Data Analyst is responsible for analyzing data to help businesses make better decisions. They will be using data to identify trends, patterns, and insights. This course may be useful for a Data Analyst who wants to learn more about data ingestion and preparation using Azure.
Cloud Engineer
Cloud Engineer
A Cloud Engineer is responsible for designing, building, and maintaining cloud-based solutions. They will be working on a variety of projects, from small to large. This course may be useful for a Cloud Engineer who wants to learn more about data ingestion and preparation using Azure.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. They will be working on a variety of projects, from small to large. This course may be useful for a Software Engineer who wants to learn more about data ingestion and preparation using Azure.
For more career information including salaries, visit:
OpenCourser.com/course/t3tat2/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: Data Ingestion and Preparation.
Provides a comprehensive overview of Azure data services, including Azure Data Lake, Azure Cosmos DB, and Azure Synapse Analytics. It valuable resource for anyone looking to learn more about the Azure data platform.
Introduces data engineering concepts and techniques using Python. It covers data ingestion, transformation, and analysis, providing a practical approach to working with data in Python.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/t3tat2/dp
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Time
285 hours
Level
Advanced
Via
Pluralsight
Instructor
Brian Roehm
Language
English
Good to know
Explores Azure Synapse, Azure Databricks, Azure Data Factory, and Azure Stream Analytics, which are industry-standard tools for data engineering on Microsoft Azure
Develops foundational skills in data ingestion, preparation, and analysis, which are essential for aspiring data engineers
Taught by Brian Roehm, a recognized expert in data engineering and Microsoft Azure
Provides hands-on labs and interactive materials, which enhance the learning experience and reinforce concepts
Is part of a series of courses designed to prepare learners for the DP-203: Data Engineering on Microsoft Azure certification
Requires learners to have some prior knowledge and experience in data engineering concepts
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