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Prep for Microsoft Azure Data Engineer Associate Cert DP-203

Skill-Up EdTech Team and Prateek Kumar

This course will guide you on how to prepare for the DP-203: Data Engineering on Microsoft Azure certificate exam.

By the end of this course, you will be able to:

- Explain how to design data for analysis using Azure Databricks, Apache Spark, and Azure Synapse pipelines.

- Describe how to ingest, clean, and transform data using Azure Synapse.

- Identify data processing solutions using Azure Databricks and manage pipelines in Azure Synapse pipelines.

- Discuss the steps to secure, optimize, and monitor data storage using Azure Synapse Analytics.

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This course will guide you on how to prepare for the DP-203: Data Engineering on Microsoft Azure certificate exam.

By the end of this course, you will be able to:

- Explain how to design data for analysis using Azure Databricks, Apache Spark, and Azure Synapse pipelines.

- Describe how to ingest, clean, and transform data using Azure Synapse.

- Identify data processing solutions using Azure Databricks and manage pipelines in Azure Synapse pipelines.

- Discuss the steps to secure, optimize, and monitor data storage using Azure Synapse Analytics.

This course is designed for IT professionals who want to prepare for the Microsoft DP-203 exam and demonstrate their expertise in creating analytical solutions by integrating, transforming, and consolidating data from multiple data sources, such as structured, unstructured, and streaming data systems.

According to Microsoft, candidates for the DP-203 exam should have experience with operationalization of data pipelines and ensure that data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints. You should be able to identify and troubleshoot operational and data quality issues, and design, implement, monitor, and optimize data platforms to meet the data pipelines.

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What's inside

Syllabus

Designing and implementing data storage and data exploration layer
In this module, you will be introduced to the Azure tools available for designing and implementing data storage and data exploration layers. You will gain insight into the three important data engineering tools: Azure Synapse Analytics, Azure Databricks, and Azure Data Lake. You will gain insight into the key concepts and strategies of data partitioning for files, focusing on both Azure Synapse Analytics and Azure Data Lake Storage Gen2. Additionally, you will learn to browse and search metadata in Microsoft Purview Data Catalog for data exploration. The module also delves into the process of creating and executing a compute solution in Azure, which will enable you to make informed decisions regarding data partitioning, enhancing data cataloging capabilities, and efficiently managing data storage and processing resources in Azure.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Focuses on data engineering on Microsoft Azure, making it suitable for professionals in that field
Prepares learners for the DP-203 Microsoft certification exam
Covers designing and implementing data storage and exploration layers, developing data processing, and securing, monitoring, and optimizing data storage and processing

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Reviews summary

Azure dp-203 certification prep

This course is designed to equip IT professionals with the knowledge and skills necessary to pass the Microsoft Azure Data Engineer Associate Cert DP-203 exam. The curriculum is structured to provide a comprehensive understanding of data engineering on Azure, covering designing data storage, ingesting and transforming data using tools like Azure Synapse and Azure Databricks, and securing, monitoring, and optimizing data solutions. Learners can expect to explore key concepts for building robust data pipelines and managing resources efficiently within the Azure ecosystem.
Intended for IT professionals with prior data engineering experience.
"This course is designed for IT professionals who want to prepare for the Microsoft DP-203 exam."
"Candidates for the DP-203 exam should have experience with operationalization of data pipelines."
"I understand that some prior experience with data platforms and business requirements is expected for this course."
Addresses data storage, processing, security, monitoring, and optimization.
"The course promises to cover robust data security measures in Azure, encompassing encryption and access control."
"I will learn about optimizing query performance through indexers and caching, and troubleshooting pipeline failures effectively."
"The modules discuss implementing robust data security measures and gaining insight into data security and performance optimization."
Covers hands-on application of key Azure data services and tools.
"I expect to learn how to design data for analysis using Azure Databricks, Apache Spark, and Azure Synapse pipelines."
"The course outlines methods for ingesting, cleaning, and transforming data, including using Transact SQL and PolyBase."
"I anticipate developing skills in creating and executing compute solutions and managing data storage efficiently in Azure."
Aims to directly prepare learners for the DP-203 certification.
"This course is built to guide you on how to prepare for the DP-203: Data Engineering on Microsoft Azure certificate exam."
"I anticipate gaining the specific expertise needed to pass the Microsoft DP-203 exam on Azure."
"The curriculum appears to align well with the stated objectives of the DP-203 certification exam."

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 Prep for Microsoft Azure Data Engineer Associate Cert DP-203 with these activities:
Read 'Azure Data Platform' by Chris Sell
Expand knowledge by reading a comprehensive guide to the Azure Data Platform
Show steps
  • Read and understand the chapters covering data engineering concepts
Review Data Engineering Concepts
Strengthen foundational knowledge by reviewing data engineering concepts
Browse courses on Data Engineering
Show steps
  • Review textbooks or online resources on data engineering
  • Take practice quizzes or tests to assess understanding
Review cloud computing fundamentals
Review the basics of cloud computing to ensure you have a strong foundation.
Show steps
  • Review notes or textbooks on cloud computing concepts such as IaaS, PaaS, SaaS, and virtualization.
  • Complete practice problems or quizzes on cloud computing fundamentals.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Collect Resources on Data Storage Options
Enhance understanding by compiling resources on data storage options in Azure
Show steps
  • Identify different data storage options in Azure
  • Gather documentation, tutorials, and best practices
  • Organize and review the compiled resources
Attend an Azure Data Engineering Workshop
Gain practical experience by attending an Azure Data Engineering workshop
Show steps
  • Find an Azure Data Engineering workshop
  • Register and attend the workshop
  • Participate in hands-on exercises and demos
Create Azure Synapse Analytics Data Pipelines
Develop skills by following guided tutorials on Azure Synapse Analytics
Browse courses on Azure Synapse
Show steps
  • Find tutorials on creating data pipelines using Azure Synapse Analytics
  • Follow the steps to create a data pipeline
  • Test and refine the data pipeline
Create a data warehouse using Azure Synapse Analytics
Gain hands-on experience with Azure Synapse Analytics by creating a data warehouse and loading data.
Browse courses on Data Warehousing
Show steps
  • Follow a tutorial on creating a data warehouse in Azure Synapse Analytics.
  • Load sample data into the data warehouse.
  • Query the data using SQL or other data analysis tools.
Data Engineering Exercises
Reinforce knowledge by solving hands-on data engineering exercises
Show steps
  • Work through practice problems on data storage design
  • Practice data ingestion and transformation techniques
  • Solve exercises on data security and optimization
Develop a data processing pipeline using Azure Databricks
Build a data processing pipeline using Azure Databricks to demonstrate your skills in data manipulation and transformation.
Browse courses on Data Processing
Show steps
  • Design a data processing pipeline that meets specific business requirements.
  • Implement the pipeline using Azure Databricks and Apache Spark.
  • Test and validate the pipeline using sample data.
Develop a Data Warehouse Solution
Apply concepts by designing and implementing a data warehouse solution
Show steps
  • Gather requirements for the data warehouse
  • Design the data warehouse schema and architecture
  • Implement the data warehouse using Azure Data Services
  • Test and evaluate the data warehouse solution
Assist Junior Data Engineers
Solidify knowledge by mentoring junior data engineers
Show steps
  • Share knowledge and guidance on data engineering concepts
  • Review and provide feedback on their projects
  • Collaborate on solving data engineering challenges

Career center

Learners who complete Prep for Microsoft Azure Data Engineer Associate Cert DP-203 will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers design, build, and maintain data pipelines that collect, store, and process data. They work with data scientists and other stakeholders to ensure that data is available for analysis and decision-making. This course is ideal for individuals who want to become Data Engineers, as it provides a comprehensive foundation in Azure data technologies. The course will help you develop the skills and knowledge necessary to design, build, and maintain data pipelines that meet the needs of your organization.
See salaries and explore the career path for Data Engineer
Data Integration Architect
Data Integration Architects design and implement data integration solutions. They work with stakeholders to understand their business needs and develop data integration solutions that meet those needs. This course is an excellent starting point for aspiring Data Integration Architects, as it provides a comprehensive overview of the Azure data platform, including data storage, processing, and security. The course will help you develop the skills and knowledge necessary to design and implement effective data integration solutions.
See salaries and explore the career path for Data Integration Architect
Data Warehouse Architect
Data Warehouse Architects design and implement data warehouses. They work with stakeholders to understand their business needs and develop data warehouses that meet those needs. This course is an excellent starting point for aspiring Data Warehouse Architects, as it provides a comprehensive overview of the Azure data platform, including data storage, processing, and security. The course will help you develop the skills and knowledge necessary to design and implement effective data warehouses.
See salaries and explore the career path for Data Warehouse Architect
Data Architect
Data Architects design and implement data management solutions that meet the business needs of an organization. They ensure that data is organized, accessible, and secure. This course is an excellent starting point for aspiring Data Architects, as it provides a comprehensive overview of the Azure data platform, including data storage, processing, and security. The course will help you develop the skills and knowledge necessary to design and implement effective data management solutions.
See salaries and explore the career path for Data Architect
Data Privacy Analyst
Data Privacy Analysts protect personal data from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with stakeholders to identify and mitigate data privacy risks. This course may be helpful for aspiring Data Privacy Analysts, as it provides a foundation in Azure data technologies. The course will help you develop the skills and knowledge necessary to identify and mitigate data privacy risks.
See salaries and explore the career path for Data Privacy Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. They work with stakeholders to communicate insights and make recommendations. This course may be helpful for aspiring Data Analysts, as it provides a foundation in Azure data technologies. The course will help you develop the skills and knowledge necessary to collect, clean, and analyze data.
See salaries and explore the career path for Data Analyst
Data Quality Analyst
Data Quality Analysts ensure that data is accurate, complete, and consistent. They work with stakeholders to identify and resolve data quality issues. This course may be helpful for aspiring Data Quality Analysts, as it provides a foundation in Azure data technologies. The course will help you develop the skills and knowledge necessary to identify and resolve data quality issues.
See salaries and explore the career path for Data Quality Analyst
Data Security Analyst
Data Security Analysts protect data from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with stakeholders to identify and mitigate data security risks. This course may be helpful for aspiring Data Security Analysts, as it provides a foundation in Azure data technologies. The course will help you develop the skills and knowledge necessary to identify and mitigate data security risks.
See salaries and explore the career path for Data Security Analyst
Data Governance Analyst
Data Governance Analysts develop and implement data governance policies and procedures. They work with stakeholders to ensure that data is managed and used in a consistent and compliant manner. This course may be helpful for aspiring Data Governance Analysts, as it provides a foundation in Azure data technologies. The course will help you develop the skills and knowledge necessary to develop and implement effective data governance policies and procedures.
See salaries and explore the career path for Data Governance Analyst
Cloud Engineer
Cloud Engineers design, build, and manage cloud computing solutions. They work with customers to understand their business needs and develop solutions that meet those needs. This course may be helpful for aspiring Cloud Engineers, as it provides a foundation in Azure data technologies. The course will help you develop the skills and knowledge necessary to design, build, and manage cloud computing solutions.
See salaries and explore the career path for Cloud Engineer
Data Scientist
Data Scientists use data to solve business problems. They develop and implement machine learning models to predict outcomes, identify trends, and make recommendations. This course may be helpful for aspiring Data Scientists, as it provides a foundation in Azure data technologies. The course will help you develop the skills and knowledge necessary to prepare data for analysis and build machine learning models.
See salaries and explore the career path for Data Scientist
IT Manager
IT Managers plan, implement, and manage IT systems. They work with stakeholders to understand their business needs and develop IT solutions that meet those needs. This course may be helpful for aspiring IT Managers, as it provides a foundation in Azure data technologies. The course will help you develop the skills and knowledge necessary to plan, implement, and manage IT systems.
See salaries and explore the career path for IT Manager
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with stakeholders to understand their needs and develop software solutions that meet those needs. This course may be helpful for aspiring Software Engineers, as it provides a foundation in Azure data technologies. The course will help you develop the skills and knowledge necessary to design, develop, and maintain software applications.
See salaries and explore the career path for Software Engineer
Database Administrator
Database Administrators manage and maintain databases. They ensure that databases are running smoothly and efficiently. This course may be helpful for aspiring Database Administrators, as it provides a foundation in Azure data technologies. The course will help you develop the skills and knowledge necessary to manage and maintain databases.
See salaries and explore the career path for Database Administrator
Business Analyst
Business Analysts gather and analyze data to identify business needs and opportunities. They work with stakeholders to develop solutions that meet those needs. This course may be helpful for aspiring Business Analysts, as it provides a foundation in Azure data technologies. The course will help you develop the skills and knowledge necessary to gather and analyze data and develop business solutions.
See salaries and explore the career path for Business Analyst

Reading list

We've selected nine 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 Prep for Microsoft Azure Data Engineer Associate Cert DP-203.
Cover image
Intelligent Transportation Systems: Theory and...
Save
Provides a comprehensive overview of data engineering on Microsoft Azure, covering topics such as data storage, data processing, and data security. It valuable resource for anyone preparing for the DP-203 exam.
Intelligent Transportation Systems: Theory and...
Paperback
$$$$
Intelligent Transportation Systems: Theory and...
Kindle Edition
$$$$
Cover image
Spark: The Definitive Guide
Save
Provides a comprehensive overview of Apache Spark. It valuable resource for anyone who wants to learn more about Spark or use it for data engineering.
Spark: The Definitive Guide
Paperback
Check
Spark: The Definitive Guide
Kindle Edition
Check
Cover image
Entity Framework 4.0 Recipes
Save
Provides a thorough exploration of Azure data engineering fundamentals, covering a range of topics such as data ingestion, transformation, storage, and analytics. It offers a practical approach with real-world examples and is particularly beneficial for individuals seeking a solid understanding of the foundational concepts of data engineering on Azure.
Entity Framework 4.0 Recipes: A Problem-Solution...
Paperback
$$
Cover image
Secret Colors
Save
Provides a deep dive into the principles and patterns of data-intensive application design. It valuable resource for anyone who wants to build scalable, reliable, and performant data systems.
Secret Colors
Paperback
Check
Secret Colors
Kindle Edition
Check
Cover image
Exam 98-368 MTA Mobility and Device Fundamentals
Save
This official Microsoft publication provides the foundational concepts of Azure data services. It offers a comprehensive overview of data storage, analytics, and management in the Azure cloud platform, serving as a useful starting point for individuals new to Azure data.
Exam 98-368 MTA Mobility and Device Fundamentals
Paperback
Check
Exam 98-368 MTA Mobility and Device Fundamentals
Kindle Edition
Check
Cover image
Hadoop: The Definitive Guide
Save
Provides a comprehensive overview of the Hadoop ecosystem, including HDFS, MapReduce, and YARN. It valuable resource for anyone who wants to understand the fundamentals of big data processing.
Hadoop: The Definitive Guide: Storage and Analysis...
Paperback
$$
Hadoop: The Definitive Guide
Kindle Edition
$$
Hadoop: The Definitive Guide
Paperback
$$
Hadoop: The Definitive Guide
Paperback
$$
Cover image
DAX Patterns
Save
Provides a comprehensive overview of Microsoft Power BI, a powerful data visualization tool. It valuable resource for anyone who wants to create interactive and informative data visualizations.
DAX Patterns: Second Edition
Paperback
$$
DAX Patterns 2015
Paperback
$$
DAX Patterns: Second Edition
Kindle Edition
$$
Cover image
Python Data Science Essentials
Save
Teaches the fundamentals of data engineering using Python, a popular programming language in this field. It covers data ingestion, cleaning, transformation, and analysis, providing a solid foundation for professionals working with Python for data engineering.
Python Data Science Essentials: A practitioner’s...
Kindle Edition
$$
Python Data Science Essentials: Become an Efficient...
Paperback
$$
Python Data Science Essentials - Second Edition:...
Paperback
$$
Cover image
Python Data Science Handbook
Save
Provides a comprehensive overview of data science with Python. It valuable resource for anyone who wants to learn how to use Python for data analysis and machine learning.
Python Data Science Handbook: Essential Tools for...
Paperback
$$$

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Course image
Effort
3 weeks of study, 1 hour/week
Level
Intermediate
Via
Coursera
Institution
SkillUp EdTech
Instructors
Skill-Up EdTech Team
Prateek Kumar
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Focuses on data engineering on Microsoft Azure, making it suitable for professionals in that field
Prepares learners for the DP-203 Microsoft certification exam
Covers designing and implementing data storage and exploration layers, developing data processing, and securing, monitoring, and optimizing data storage and processing
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