Microsoft Azure for Data Engineering from Coursera

The world of data has evolved and the advent of cloud technologies is providing new opportunities for businesses to explore. In this course, you will learn the various data platform technologies available, and how a Data Engineer can take advantage of this technology to an organization's benefit.

This course part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

This is the first course in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam.

By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

What's inside

Syllabus

The Evolving world of data and the data engineer

In this module, you will learn how data systems are evolving and how the changes affect data professionals. You will also explore the differences between on-premises and cloud data solutions, and consider sample business cases that apply cloud technologies. you will learn about the responsibilities of a data engineer. You will also find out how they relate to the jobs of other data and AI professionals. You will explore common data engineering practices and a high-level architecting process for a data-engineering project.

Services on the Microsoft Azure Data Platform

In this module, you will learn about Azure technologies that analyze text and images and relational, nonrelational, or streaming data. You will also see how data engineers can choose the technologies that meet their business needs and scale to meet demand securely. You will take a practice exam that will assess your knowledge of the content of this course and prepare you for the Microsoft Certified: Azure Data Engineer Associate exam.

Practice Exam on Store Data in Microsoft Azure

In this module, you will take a practice exam that covers key skills measured in the Exam DP-203: Data Engineering on Microsoft Azure.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for beginners who want to learn the fundamentals of data engineering on Microsoft Azure

Provides a solid foundation for intermediate learners looking to strengthen their skills in data engineering

Taught by Microsoft, a leading provider of cloud computing services

Aligned with industry standards and practices, making it valuable for professional development

Covers a wide range of topics essential for data engineers, such as data integration, transformation, and consolidation

Requires learners to have some prior knowledge of data engineering concepts and technologies

Focuses primarily on Microsoft Azure technologies, limiting its applicability to other cloud platforms

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 Microsoft Azure for Data Engineering with these activities:

Take a brief tutorial on Azure Data Platform

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Watch a video tutorial to gain a basic understanding of Microsoft's cloud-based platform for data management.

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Visit the Microsoft Azure website and search for 'Data Platform.'
Click on the 'Tutorials' tab and select a beginner-level tutorial.
Follow the steps in the tutorial and complete the exercises.

Review SQL basics

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A strong foundation in SQL is essential for data engineers. This activity will help you refresh your SQL skills and ensure that you're ready for the course.

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Review the basics of SQL syntax.
Practice writing SQL queries to select, insert, update, and delete data.
Review the basics of SQL joins.

Create a data dictionary for a new dataset

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Creating a data dictionary will help you understand the structure and meaning of the data you're working with, which is essential for data engineering.

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Identify the data sources and fields you want to include in your dictionary.
Define the data types, formats, and ranges of values for each field.
Document the meaning and usage of each field.
Create a tool or process to maintain and version the data dictionary as the data evolves.

Three other activities

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Practice data transformation and cleansing techniques

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Data transformation and cleansing are essential skills for data engineers. This activity will help you practice these techniques and improve your proficiency.

Browse courses on Data Transformation

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Choose a dataset and identify the transformations and cleansing operations that need to be performed.
Implement the transformations and cleansing operations using a programming language or tool.
Validate the results of your transformations and cleansing operations.

Design and implement a data pipeline

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Building a data pipeline from scratch will give you a comprehensive understanding of the end-to-end data engineering process.

Browse courses on Data Pipeline

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Define the requirements and scope of your data pipeline.
Choose the appropriate data sources, tools, and technologies.
Design the architecture of your data pipeline.
Implement your data pipeline and test its functionality.
Monitor and maintain your data pipeline.

Contribute to an open-source data engineering project

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Contributing to an open-source data engineering project can help you learn from others, improve your skills, and make a contribution to the community.

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Find an open-source data engineering project that you're interested in.
Review the project's documentation and codebase.
Identify an area where you can contribute.
Make a pull request to the project.
Participate in the project's community discussions.

Career center

Learners who complete Microsoft Azure for Data Engineering will develop knowledge and skills that may be useful to these careers:

Data Engineer

A Data Engineer is responsible for designing, building, and maintaining data pipelines. This course can help you build a foundation in the technologies and concepts used in data engineering, which can be helpful if you want to become a Data Engineer. The course covers topics such as data integration, data transformation, and data quality, which are all important for this role.

See salaries and explore the career path for Data Engineer

Data Governance Specialist

A Data Governance Specialist is responsible for managing and protecting data. This course can help you build a foundation in the technologies and concepts used in data governance, which can be helpful if you want to become a Data Governance Specialist. The course covers topics such as data security, data privacy, and data quality, which are all important for this role.

See salaries and explore the career path for Data Governance Specialist

Big Data Architect

A Big Data Architect is responsible for designing and managing big data systems. This course can help you build a foundation in the technologies and concepts used in big data, which can be helpful if you want to become a Big Data Architect. The course covers topics such as data storage, data processing, and data analysis, which are all important for this role.

See salaries and explore the career path for Big Data Architect

Data Warehouse Architect

A Data Warehouse Architect designs and builds data warehouses, which are systems used to store and manage large amounts of data. This course can help you build a foundation in the technologies and concepts used in data warehousing, which can be helpful if you want to become a Data Warehouse Architect. The course covers topics such as data modeling, data integration, and data security, which are all important for this role.

See salaries and explore the career path for Data Warehouse Architect

Big Data Engineer

A Big Data Engineer is responsible for building and maintaining big data systems. This course can help you build a foundation in the technologies and concepts used in big data, which can be helpful if you want to become a Big Data Engineer. The course covers topics such as data storage, data processing, and data analysis, which are all important for this role.

See salaries and explore the career path for Big Data Engineer

Data Integration Specialist

A Data Integration Specialist is responsible for integrating data from different sources into a single system. This course can help you build a foundation in the technologies and concepts used in data integration, which can be helpful if you want to become a Data Integration Specialist. The course covers topics such as data mapping, data cleansing, and data transformation, which are all important for this role.

See salaries and explore the career path for Data Integration Specialist

Database Administrator

A Database Administrator is responsible for managing and maintaining databases. This course can help you build a foundation in the technologies and concepts used in database administration, which can be helpful if you want to become a Database Administrator. The course covers topics such as database design, database performance, and database security, which are all important for this role.

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Data Architect

A Data Architect is responsible for designing and managing data systems. This course can help you build a foundation in the technologies and concepts used in data architecture, which can be helpful if you want to become a Data Architect. The course covers topics such as data modeling, data integration, and data security, which are all important for this role.

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Cloud Architect

A Cloud Architect is responsible for designing and managing cloud systems. This course can help you build a foundation in the technologies and concepts used in cloud computing, which can be helpful if you want to become a Cloud Architect. The course covers topics such as cloud storage, cloud networking, and cloud security, which are all important for this role.

See salaries and explore the career path for Cloud Architect

Machine Learning Engineer

A Machine Learning Engineer is responsible for building and deploying machine learning models. This course can help you build a foundation in the technologies and concepts used in machine learning, which can be helpful if you want to become a Machine Learning Engineer. The course covers topics such as machine learning algorithms, deep learning, and natural language processing, which are all important for this role.

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Data Analyst

A Data Analyst is responsible for analyzing data to identify trends and insights. This course can help you build a foundation in the technologies and concepts used in data analysis, which can be helpful if you want to become a Data Analyst. The course covers topics such as data mining, data visualization, and data storytelling, which are all important for this role.

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Data Scientist

A Data Scientist is responsible for using data to solve business problems. This course can help you build a foundation in the technologies and concepts used in data science, which can be helpful if you want to become a Data Scientist. The course covers topics such as machine learning, artificial intelligence, and data visualization, which are all important for this role.

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Business Intelligence Analyst

A Business Intelligence Analyst is responsible for using data to improve business decisions. This course can help you build a foundation in the technologies and concepts used in business intelligence, which can be helpful if you want to become a Business Intelligence Analyst. The course covers topics such as data visualization, data mining, and data storytelling, which are all important for this role.

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Cloud Engineer

A Cloud Engineer is responsible for building and maintaining cloud systems. This course can help you build a foundation in the technologies and concepts used in cloud computing, which can be helpful if you want to become a Cloud Engineer. The course covers topics such as cloud storage, cloud networking, and cloud security, which are all important for this role.

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Software Architect

A Software Architect is responsible for designing and managing software systems. This course can help you build a foundation in the technologies and concepts used in software architecture, which can be helpful if you want to become a Software Architect. The course covers topics such as software design, software development, and software testing, which are all important for this role.

See salaries and explore the career path for Software Architect