We may earn an affiliate commission when you visit our partners.
Mohit Batra
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: Processing in Azure Using Batch Solutions*, you’ll learn to work with various Azure Data services to build end-to-end batch processing solutions. First, you’ll explore the different data services available in Azure that can be used for batch pipelines. Next, you’ll see how to extract data using Azure Synapse and Data Factory. Then, you’ll learn how to build pipelines by copying data, performing upserts, and handling dependencies and errors. Following this, you’ll see how to process data with Azure Databricks and Delta Lake. Finally, you’ll learn how to work with Azure Batch and manage data pipelines. When you’re finished with this course, you’ll have the skills and knowledge of Azure Data services needed to build batch processing solutions.
Register for this course and see more details by visiting:
OpenCourser.com/course/rm8nnq/dp
Here's a deal for you
We found an offer that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops Azure Data services skills, which are core skills for engineers processing big data
Teaches essential Azure services for building batch processing solutions
Provides hands-on experience in data extraction and data processing in Azure
May require prior foundational knowledge in Azure Data services
Part of a series; completing the recommended order of courses is beneficial
Save this course
Save DP-203: Processing in Azure Using Batch Solutions to your list so you can find it easily later:
Save
Save
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: Processing in Azure Using Batch Solutions with these
activities:
Review the fundamentals of data processing
Show steps
This activity will help you to refresh your understanding of the fundamentals of data processing, which will be helpful for understanding the concepts covered in this course.
Browse courses on
Data Processing
Show steps
-
Review your notes from previous data processing courses.
-
Read articles and blog posts about data processing.
-
Watch videos about data processing.
Join a study group for this course
Show steps
This activity will allow you to connect with other students, discuss course topics, and work together to complete assignments.
Show steps
-
Find a study group for this course.
-
Join the study group.
-
Participate in study group meetings.
Create a glossary of terms related to batch processing
Show steps
This activity will help you to build your vocabulary of terms related to batch processing, which will be helpful for understanding the concepts covered in this course.
Browse courses on
Batch Processing
Show steps
-
Identify the key terms related to batch processing.
-
Define each term.
-
Create a glossary of terms.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Review Azure Synapse and Data Factory basics
Show steps
This activity will refresh your understanding of the basics of Azure Synapse and Data Factory, which are essential for building batch processing solutions in Azure.
Browse courses on
Azure Synapse
Show steps
-
Review the Azure Synapse documentation.
-
Review the Data Factory documentation.
-
Complete the Azure Synapse and Data Factory quickstarts.
Review data cleaning techniques
Show steps
Begin by reviewing the different data cleaning techniques related to the core services of Azure Data, including data wrangling, data transformation, data integration, and data warehousing.
Browse courses on
Data Cleaning
Show steps
-
Refer to the course materials from the Building an Azure Data Engineer Foundation course.
-
Review online resources and tutorials on data cleaning techniques specific to Azure Data services.
-
Practice data cleaning techniques in an Azure Data sandbox environment.
Follow a tutorial on how to use Azure Batch
Show steps
This activity will provide you with step-by-step instructions on how to use Azure Batch, which is a key component of building batch processing solutions in Azure.
Browse courses on
Azure Batch
Show steps
-
Find a tutorial on how to use Azure Batch.
-
Follow the instructions in the tutorial.
-
Complete the tutorial.
Explore Azure Databricks and Delta Lake for data processing
Show steps
Familiarize yourself with Azure Databricks and Delta Lake, including their capabilities, features, and best practices for data processing in batch scenarios.
Browse courses on
Data Processing
Show steps
-
Complete the Azure Databricks Quickstart tutorial.
-
Review the Delta Lake documentation and blog posts.
-
Experiment with data processing using Azure Databricks and Delta Lake in a sandbox environment.
Practice copying data with Azure Data Factory
Show steps
This activity will give you hands-on experience with copying data using Azure Data Factory, which is a key skill for building batch processing solutions.
Show steps
-
Create a data factory.
-
Create a linked service for your source and destination data stores.
-
Create a pipeline that copies data from your source to your destination.
-
Run your pipeline.
Build a simple data ingestion pipeline
Show steps
Build a data ingestion pipeline using Azure Data Factory, Azure Data Lake Storage, and Azure Synapse Analytics, covering data extraction, transformation, and loading.
Browse courses on
Data Ingestion
Show steps
-
Identify a data source and create an Azure Data Factory pipeline.
-
Configure data extraction, transformation, and loading activities in the pipeline.
-
Test and iterate on the pipeline to ensure data is ingested correctly.
Practice creating and managing Azure Batch pipelines
Show steps
Develop proficiency in creating and managing Azure Batch pipelines, including pool creation, job scheduling, task monitoring, and error handling.
Browse courses on
Azure Batch
Show steps
-
Follow along with the Azure Batch tutorials.
-
Create and manage Azure Batch pipelines in a sandbox environment.
-
Experiment with different Azure Batch features and settings.
Build a batch processing solution for a real-world scenario
Show steps
This activity will allow you to apply your skills to a real-world scenario, which will help you to solidify your understanding of the concepts covered in this course.
Browse courses on
Batch Processing
Show steps
-
Identify a real-world scenario that requires a batch processing solution.
-
Design a batch processing solution using Azure Data services.
-
Implement your solution.
-
Test and evaluate your solution.
Review the fundamentals of data processing
Show steps
This activity will help you to refresh your understanding of the fundamentals of data processing, which will be helpful for understanding the concepts covered in this course.
Browse courses on
Data Processing
Show steps
Show steps
Show steps
- Review your notes from previous data processing courses.
- Read articles and blog posts about data processing.
- Watch videos about data processing.
Join a study group for this course
Show steps
This activity will allow you to connect with other students, discuss course topics, and work together to complete assignments.
Show steps
Show steps
Show steps
- Find a study group for this course.
- Join the study group.
- Participate in study group meetings.
Create a glossary of terms related to batch processing
Show steps
This activity will help you to build your vocabulary of terms related to batch processing, which will be helpful for understanding the concepts covered in this course.
Browse courses on
Batch Processing
Show steps
Show steps
Show steps
- Identify the key terms related to batch processing.
- Define each term.
- Create a glossary of terms.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Review Azure Synapse and Data Factory basics
Show steps
This activity will refresh your understanding of the basics of Azure Synapse and Data Factory, which are essential for building batch processing solutions in Azure.
Browse courses on
Azure Synapse
Show steps
Show steps
Show steps
- Review the Azure Synapse documentation.
- Review the Data Factory documentation.
- Complete the Azure Synapse and Data Factory quickstarts.
Review data cleaning techniques
Show steps
Begin by reviewing the different data cleaning techniques related to the core services of Azure Data, including data wrangling, data transformation, data integration, and data warehousing.
Browse courses on
Data Cleaning
Show steps
Show steps
Show steps
- Refer to the course materials from the Building an Azure Data Engineer Foundation course.
- Review online resources and tutorials on data cleaning techniques specific to Azure Data services.
- Practice data cleaning techniques in an Azure Data sandbox environment.
Follow a tutorial on how to use Azure Batch
Show steps
This activity will provide you with step-by-step instructions on how to use Azure Batch, which is a key component of building batch processing solutions in Azure.
Browse courses on
Azure Batch
Show steps
Show steps
Show steps
- Find a tutorial on how to use Azure Batch.
- Follow the instructions in the tutorial.
- Complete the tutorial.
Explore Azure Databricks and Delta Lake for data processing
Show steps
Familiarize yourself with Azure Databricks and Delta Lake, including their capabilities, features, and best practices for data processing in batch scenarios.
Browse courses on
Data Processing
Show steps
Show steps
Show steps
- Complete the Azure Databricks Quickstart tutorial.
- Review the Delta Lake documentation and blog posts.
- Experiment with data processing using Azure Databricks and Delta Lake in a sandbox environment.
Practice copying data with Azure Data Factory
Show steps
This activity will give you hands-on experience with copying data using Azure Data Factory, which is a key skill for building batch processing solutions.
Show steps
Show steps
Show steps
- Create a data factory.
- Create a linked service for your source and destination data stores.
- Create a pipeline that copies data from your source to your destination.
- Run your pipeline.
Build a simple data ingestion pipeline
Show steps
Build a data ingestion pipeline using Azure Data Factory, Azure Data Lake Storage, and Azure Synapse Analytics, covering data extraction, transformation, and loading.
Browse courses on
Data Ingestion
Show steps
Show steps
Show steps
- Identify a data source and create an Azure Data Factory pipeline.
- Configure data extraction, transformation, and loading activities in the pipeline.
- Test and iterate on the pipeline to ensure data is ingested correctly.
Practice creating and managing Azure Batch pipelines
Show steps
Develop proficiency in creating and managing Azure Batch pipelines, including pool creation, job scheduling, task monitoring, and error handling.
Browse courses on
Azure Batch
Show steps
Show steps
Show steps
- Follow along with the Azure Batch tutorials.
- Create and manage Azure Batch pipelines in a sandbox environment.
- Experiment with different Azure Batch features and settings.
Build a batch processing solution for a real-world scenario
Show steps
This activity will allow you to apply your skills to a real-world scenario, which will help you to solidify your understanding of the concepts covered in this course.
Browse courses on
Batch Processing
Show steps
Show steps
Show steps
- Identify a real-world scenario that requires a batch processing solution.
- Design a batch processing solution using Azure Data services.
- Implement your solution.
- Test and evaluate your solution.
Career center
Learners who complete DP-203: Processing in Azure Using Batch Solutions will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer designs, constructs, and maintains big data systems used to collect, store, and analyze vast amounts of data. While on the job, Data Engineers work with others to develop and implement solutions to complex data management challenges. This course, *DP-203: Processing in Azure Using Batch Solutions*, may be useful for an aspiring Data Engineer to learn how to build efficient and scalable batch processing data pipelines within Azure. By taking this course, a prospective Data Engineer can build a strong foundation in Azure Data services.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make better decisions. They work with other analysts, scientists, and business leaders to identify and solve problems using data. This course, *DP-203: Processing in Azure Using Batch Solutions*, may be useful for an aspiring Data Analyst to learn how to build and manage data processing pipelines. This course will be especially helpful for a Data Analyst working with large datasets in Azure.
Data Scientist
Data Scientist
Data Scientists develop algorithms to analyze data and build models to solve business problems. They work closely with other scientists, engineers, and business leaders to identify and solve problems using data. This course, *DP-203: Processing in Azure Using Batch Solutions*, may be useful for an aspiring Data Scientist to learn how to build and manage data processing pipelines. This course will be especially helpful for a Data Scientist working with large datasets in Azure.
Big Data Architect
Big Data Architect
Big Data Architects design and build big data systems used to collect, store, and analyze vast amounts of data. They work with other architects, engineers, and business leaders to develop and implement solutions to complex data management challenges. This course, *DP-203: Processing in Azure Using Batch Solutions*, may be useful for an aspiring Big Data Architect to learn how to build and manage data processing pipelines within Azure. By taking this course, a prospective Big Data Architect can build a strong foundation in Azure Data services.
Cloud Architect
Cloud Architect
Cloud Architects design and build cloud-based systems used to deliver applications and services over the internet. They work with other architects, engineers, and business leaders to develop and implement solutions to complex cloud computing challenges. This course, *DP-203: Processing in Azure Using Batch Solutions*, may be useful for an aspiring Cloud Architect to learn how to build and manage data processing pipelines in the cloud. By taking this course, a prospective Cloud Architect can build a strong foundation in Azure Data services.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They work with other engineers, scientists, and business leaders to develop and implement solutions to complex software development challenges. This course, *DP-203: Processing in Azure Using Batch Solutions*, may be useful for an aspiring Software Engineer to learn how to build and manage data processing pipelines using Azure Data services.
Database Administrator
Database Administrator
Database Administrators design, build, and maintain databases used to store and manage data. They work with other administrators, engineers, and business leaders to develop and implement solutions to complex database management challenges. This course, *DP-203: Processing in Azure Using Batch Solutions*, may be useful for an aspiring Database Administrator to learn how to build and manage data processing pipelines within Azure. By taking this course, a prospective Database Administrator can build a strong foundation in Azure Data services.
Data Warehouse Engineer
Data Warehouse Engineer
Data Warehouse Engineers design, build, and maintain data warehouses used to store and manage large amounts of data. They work with other engineers, scientists, and business leaders to develop and implement solutions to complex data management challenges. This course, *DP-203: Processing in Azure Using Batch Solutions*, may be useful for an aspiring Data Warehouse Engineer to learn how to build and manage data processing pipelines within Azure. By taking this course, a prospective Data Warehouse Engineer can build a strong foundation in Azure Data services.
Data Integration Engineer
Data Integration Engineer
Data Integration Engineers design, build, and maintain data integration systems used to connect and integrate data from multiple sources. They work with other engineers, scientists, and business leaders to develop and implement solutions to complex data integration challenges. This course, *DP-203: Processing in Azure Using Batch Solutions*, may be useful for an aspiring Data Integration Engineer to learn how to build and manage data processing pipelines within Azure. By taking this course, a prospective Data Integration Engineer can build a strong foundation in Azure Data services.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts develop and implement policies and procedures to ensure the integrity and security of data. They work with other analysts, scientists, and business leaders to develop and implement solutions to complex data governance challenges. This course, *DP-203: Processing in Azure Using Batch Solutions*, may be useful for an aspiring Data Governance Analyst to learn how to build and manage data processing pipelines within Azure. By taking this course, a prospective Data Governance Analyst can build a strong foundation in Azure Data services.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts analyze data to identify trends and patterns that can help businesses make better decisions. They work with other analysts, scientists, and business leaders to develop and implement solutions to complex business intelligence challenges. This course, *DP-203: Processing in Azure Using Batch Solutions*, may be useful for an aspiring Business Intelligence Analyst to learn how to build and manage data processing pipelines within Azure. By taking this course, a prospective Business Intelligence Analyst can build a strong foundation in Azure Data services.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning models used to solve business problems. They work with other engineers, scientists, and business leaders to develop and implement solutions to complex machine learning challenges. This course, *DP-203: Processing in Azure Using Batch Solutions*, may be useful for an aspiring Machine Learning Engineer to learn how to build and manage data processing pipelines within Azure. By taking this course, a prospective Machine Learning Engineer can build a strong foundation in Azure Data services.
Cloud Data Engineer
Cloud Data Engineer
Cloud Data Engineers design, build, and maintain data infrastructures in the cloud. They work with other engineers, scientists, and business leaders to develop and implement solutions to complex cloud data engineering challenges. This course, *DP-203: Processing in Azure Using Batch Solutions*, may be useful for an aspiring Cloud Data Engineer to learn how to build and manage data processing pipelines within Azure. By taking this course, a prospective Cloud Data Engineer can build a strong foundation in Azure Data services.
ETL Developer
ETL Developer
ETL Developers design, build, and maintain ETL (Extract, Transform, Load) systems used to extract data from multiple sources, transform it into a consistent format, and load it into a data warehouse or other data store. They work with other engineers, scientists, and business leaders to develop and implement solutions to complex ETL challenges. This course, *DP-203: Processing in Azure Using Batch Solutions*, may be useful for an aspiring ETL Developer to learn how to build and manage data processing pipelines within Azure. By taking this course, a prospective ETL Developer can build a strong foundation in Azure Data services.
Data Architect
Data Architect
Data Architects design and build data architectures used to store and manage data. They work with other architects, engineers, and business leaders to develop and implement solutions to complex data management challenges. This course, *DP-203: Processing in Azure Using Batch Solutions*, may be useful for an aspiring Data Architect to learn how to build and manage data processing pipelines within Azure. By taking this course, a prospective Data Architect can build a strong foundation in Azure Data services.
For more career information including salaries, visit:
OpenCourser.com/course/rm8nnq/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: Processing in Azure Using Batch Solutions.
Provides a comprehensive overview of data science and big data analytics, covering key concepts, techniques, and tools. It valuable resource for students and professionals who want to learn about data science and big data.
Provides a comprehensive overview of Microsoft Azure Security Center, a cloud-based security management service. It valuable resource for security engineers and architects who want to use Azure Security Center to protect their cloud environments.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rm8nnq/dp
Share
Similar courses
Here are nine courses similar to
DP-203: Processing in Azure Using Batch Solutions.
DP-203: Data Ingestion and Preparation
OpenCourser.com/course/t3tat2/dp
DP-203: Data Ingestion and Preparation
Most relevant
DP-203: Building an Azure Data Engineer Foundation
OpenCourser.com/course/nwdu1j/dp
DP-203: Building an Azure Data Engineer Foundation
Most relevant
DP-203: Processing in Azure Using Streaming Solutions
OpenCourser.com/course/53e3se/dp
DP-203: Processing in Azure Using Streaming Solutions
Most relevant
DP-203: Secure, Monitor, and Optimize Data Storage and Processing
OpenCourser.com/course/x5morq/dp
DP-203: Secure, Monitor, and Optimize Data Storage and...
Most relevant
DP-203: Data Engineering on Microsoft Azure - Practice Exam
OpenCourser.com/course/52vkxw/dp
DP-203: Data Engineering on Microsoft Azure - Practice...
Most relevant
Prep for Microsoft Azure Data Engineer Associate Cert DP-203
OpenCourser.com/course/312svh/prep
Prep for Microsoft Azure Data Engineer Associate Cert DP...
Most relevant
Optimize Data Pipelines with Azure Data Factory and Synapse Analytics
OpenCourser.com/course/ugtryy/optimize
Optimize Data Pipelines with Azure Data Factory and...
Most relevant
DP-203 : Microsoft Certified Azure Data Engineer Associate
OpenCourser.com/course/kcvbco/dp
DP-203 : Microsoft Certified Azure Data Engineer Associate
Most relevant
Data Integration with Microsoft Azure Data Factory
OpenCourser.com/course/ri63yn/data
Data Integration with Microsoft Azure Data Factory
Most relevant
Time
600 hours
Level
Advanced
Via
Pluralsight
Instructor
Mohit Batra
Language
English
Good to know
Develops Azure Data services skills, which are core skills for engineers processing big data
Teaches essential Azure services for building batch processing solutions
Provides hands-on experience in data extraction and data processing in Azure
May require prior foundational knowledge in Azure Data services
Part of a series; completing the recommended order of courses is beneficial
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser