Prep for Microsoft Azure Data Engineer Associate Cert DP-203 from Coursera

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.

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.

Developing data processing

In this module, you will gain an understanding of data ingestion and transformation techniques. You will also learn about Transact SQL for data transformation, Azure Synapse Pipelines for ETL, Apache Spark for processing, and exploratory data analytics. The module also discusses data loading with PolyBase, the creation of data pipelines, and integration with Jupyter and Python notebooks. Additionally, it delves into configuring data snapshots with Delta Lake and building stream processing solutions using Spark Structured Streaming. Finally, you will gain a comprehensive understanding of data processing options and techniques.

Securing, monitoring, and optimizing data storage and data processing

In this module, you will learn about the importance of implementing robust data security measures in Azure, encompassing data encryption, access control through Azure RBAC, and secure data handling. Additionally, you can learn the steps to monitor data storage, optimize query performance through indexers and caching, and troubleshoot Spark job and pipeline run failures effectively. This knowledge is vital for maintaining efficient data storage and retrieval, contributing to improved data processing and analytics. You will also gain insight into two critical areas of Azure data management: Data security and performance optimization. You will also learn some insights on implementing robust data security measures to protect sensitive information effectively.

Good to know

Know what's good

, what to watch for

, 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

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

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Expand knowledge by reading a comprehensive guide to the Azure Data Platform

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Read and understand the chapters covering data engineering concepts

Review Data Engineering Concepts

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Strengthen foundational knowledge by reviewing data engineering concepts

Browse courses on Data Engineering

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Review textbooks or online resources on data engineering
Take practice quizzes or tests to assess understanding

Review cloud computing fundamentals

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Review the basics of cloud computing to ensure you have a strong foundation.

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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

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Collect Resources on Data Storage Options

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Enhance understanding by compiling resources on data storage options in Azure

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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

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Gain practical experience by attending an Azure Data Engineering workshop

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Find an Azure Data Engineering workshop
Register and attend the workshop
Participate in hands-on exercises and demos

Create Azure Synapse Analytics Data Pipelines

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Develop skills by following guided tutorials on Azure Synapse Analytics

Browse courses on Azure Synapse

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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

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Gain hands-on experience with Azure Synapse Analytics by creating a data warehouse and loading data.

Browse courses on Data Warehousing

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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

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Reinforce knowledge by solving hands-on data engineering exercises

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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

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Build a data processing pipeline using Azure Databricks to demonstrate your skills in data manipulation and transformation.

Browse courses on Data Processing

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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

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Apply concepts by designing and implementing a data warehouse solution

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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

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Solidify knowledge by mentoring junior data engineers

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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 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 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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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