Introduction to Microsoft Azure Synapse Analytics from Coursera

In this course, you will learn how Azure Synapse Analytics enables you to perform different types of analytics through its’ components that can be used to build Modern Data Warehouses through to advanced analytical solutions. You will learn how Azure Synapse Analytics solves the issue of having a single service to fulfill the broad range of analytics requirements that organizations face today and take a tour of the core application used to interact with the various components of Azure Synapse Analytics. You will learn the various components of Azure Synapse Analytics that enable you to build your analytical solutions in one place.

This course is 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 for anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

This is the fourth 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

Azure Synapse Analytics

In this module, you will learn how Azure Synapse Analytics solves the issue of having a single service to fulfill the broad range of analytics requirements that organizations face today.

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Develops core skills measured by the Exam DP-203: Data Engineering on Microsoft Azure (beta)

Builds expertise in designing and implementing data solutions that use Microsoft Azure data services

Taught by Microsoft, known for its expertise in data analytics and Azure Synapse Analytics

Covers modern data warehouse architecture patterns

Reviews summary

Kickstart azure synapse analytics

According to students, this course offers a solid introduction to Microsoft Azure Synapse Analytics, providing a foundational understanding of its core components and the Synapse Studio. Learners find it particularly valuable for preparing for the DP-203 Data Engineering on Microsoft Azure exam, aligning well with the certification objectives. While it effectively covers the basics and designing modern data warehouses, some might find it too introductory for advanced needs. The inclusion of a practice exam is generally well-received for exam readiness, though some may suggest it benefits from prior familiarity with Azure services.

Emphasizes practical interaction with Azure Synapse Analytics.

"I appreciated the practical approach to exploring Synapse Studio."

"Learning how to design a modern data warehouse was very hands-on and useful."

"The course gave me tangible skills that I could apply in my work."

Includes a practice exam beneficial for certification readiness.

"The practice exam was a great way to test my knowledge for DP-203."

"I found the practice questions very similar to what I expect on the actual exam."

"It was helpful to gauge my understanding before moving on."

Provides a clear and concise introduction to Azure Synapse.

"I found this course to be an excellent starting point for understanding Azure Synapse."

"It really helped me grasp the main components and how to navigate Synapse Studio."

"I needed an introduction to the topic, and this course delivered on that perfectly."

Directly supports preparation for the Microsoft DP-203 exam.

"This course is highly relevant to the DP-203 exam topics, which was my primary goal."

"The content directly covers skills measured in the Data Engineering on Azure exam."

"I feel much more prepared for the DP-203 after completing this module."

Benefits learners with some existing familiarity with Azure.

"I struggled a bit without prior Azure experience, it assumes some basic familiarity."

"While introductory, it helps to have general Azure concepts already under your belt."

"New Azure users might need to supplement with other foundational courses."

May lack advanced topics for experienced data professionals.

"As an experienced engineer, I found it a bit basic in certain areas."

"I was hoping for more in-depth coverage of optimization techniques."

"This is truly an introduction; don't expect deep dives into complex scenarios."

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 Introduction to Microsoft Azure Synapse Analytics with these activities:

Review material on data analytics

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Brings your existing knowledge of data analytics concepts up to speed for this course.

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Read articles and blog posts about Azure Synapse Analytics.
Watch online videos about Azure Synapse Analytics.

Follow a tutorial on Azure Synapse Studio

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Provides hands-on experience with the core application used to interact with Azure Synapse Analytics.

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Find a tutorial on the Microsoft Learn platform.
Follow the steps in the tutorial.
Experiment with the features of Azure Synapse Studio.

Complete practice exercises on Azure Synapse Analytics

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Reinforces your understanding of Azure Synapse Analytics concepts and features.

Browse courses on Azure Synapse Analytics

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Find practice exercises on the Microsoft Learn platform.
Complete the exercises.
Review your answers and identify areas for improvement.

Four other activities

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Write a blog post about Azure Synapse Analytics

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Enhances your understanding of Azure Synapse Analytics by requiring you to explain its concepts to others.

Browse courses on Azure Synapse Analytics

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Choose a topic related to Azure Synapse Analytics.
Research the topic and gather information.
Write a blog post that explains the topic in a clear and concise way.
Publish your blog post.

Participate in a hackathon or data analytics competition

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Provides a challenging and motivating environment to apply your Azure Synapse Analytics skills.

Browse courses on Azure Synapse Analytics

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Find a hackathon or competition that is relevant to Azure Synapse Analytics.
Register for the competition.
Develop a solution to the competition challenge using Azure Synapse Analytics.
Submit your solution.

Contribute to an open-source project related to Azure Synapse Analytics

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Provides an opportunity to make a meaningful contribution to the Azure Synapse Analytics community.

Browse courses on Azure Synapse Analytics

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Find an open-source project that is related to Azure Synapse Analytics.
Review the project's documentation and identify ways to contribute.
Develop a feature or fix a bug in the project.
Submit a pull request to the project.

Mentor a junior data engineer or data analyst

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Solidifies your understanding of Azure Synapse Analytics by teaching it to others.

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Find a junior data engineer or data analyst who is interested in learning about Azure Synapse Analytics.
Share your knowledge and expertise with the mentee.
Provide guidance and support as the mentee develops their skills.

Career center

Learners who complete Introduction to Microsoft Azure Synapse Analytics will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers are responsible for unifying, transforming, and storing data from multiple sources. These engineers often work to help run the data pipelines that supply business intelligence (BI) and machine learning (ML) applications. This course helps build a foundation for you as a Data Engineer by teaching you how Azure Synapse Analytics solves the issue of having a single service to fulfill the broad range of analytics requirements that organizations face today.

See salaries and explore the career path for Data Engineer

Data Analyst

Data Analysts analyze data and present their findings to help decision-makers understand and improve business practices. This course helps build a foundation for you as a Data Analyst by teaching you how to perform different types of analytics through Azure Synapse Analytics.

See salaries and explore the career path for Data Analyst

Data Architect

Data Architects design and build the infrastructure and processes used to manage and analyze data. Responsibilities include data modeling, data integration, and data security. This course helps build a foundation for you as a Data Architect by teaching you the various components of Azure Synapse Analytics that enable you to build your analytical solutions in one place.

See salaries and explore the career path for Data Architect

Business Intelligence Analyst

Business Intelligence Analysts are responsible for collecting, analyzing, and interpreting data to help businesses make better decisions. This course helps build a foundation for you as a Business Intelligence Analyst by teaching you how Azure Synapse Analytics enables you to build Data Warehouses using modern architecture patterns.

See salaries and explore the career path for Business Intelligence Analyst

Data Scientist

Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course helps build a foundation for you as a Data Scientist by teaching you how to take a tour of the core application used to interact with the various components of Azure Synapse Analytics.

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Database Administrator

Database Administrators are responsible for the installation, configuration, maintenance, and operation of database management systems. This course may be useful for you as a Database Administrator by teaching you how Azure Synapse Analytics solves the issue of having a single service to fulfill the broad range of analytics requirements that organizations face today.

See salaries and explore the career path for Database Administrator

Software Engineer

Software Engineers design, develop, test, deploy, and maintain software. This course may be useful for you as a Software Engineer by teaching you the various components of Azure Synapse Analytics that enable you to build your analytical solutions in one place.

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Project Manager

Project Managers are responsible for planning, organizing, and executing projects. This course may be useful for you as a Project Manager by teaching you how Azure Synapse Analytics enables you to build Data Warehouses using modern architecture patterns.

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Systems Analyst

Systems Analysts analyze and design business systems. This course may be useful for you as a Systems Analyst by teaching you how to take a tour of the core application used to interact with the various components of Azure Synapse Analytics.

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IT Manager

IT Managers are responsible for planning, organizing, and directing the activities of an organization's IT department. This course may be useful for you as an IT Manager by teaching you how Azure Synapse Analytics solves the issue of having a single service to fulfill the broad range of analytics requirements that organizations face today.

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Data Governance Analyst

Data Governance Analysts are responsible for developing and implementing data governance policies and procedures. This course may be useful for you as a Data Governance Analyst by teaching you the various components of Azure Synapse Analytics that enable you to build your analytical solutions in one place.

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Data Privacy Analyst

Data Privacy Analysts are responsible for protecting the privacy of data. This course may be useful for you as a Data Privacy Analyst by teaching you how to take a tour of the core application used to interact with the various components of Azure Synapse Analytics.

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Database Designer

Database Designers design and implement database systems. This course may be useful for you as a Database Designer by teaching you how Azure Synapse Analytics enables you to build Data Warehouses using modern architecture patterns.

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Data Integration Architect

Data Integration Architects design and implement data integration solutions. This course may be useful for you as a Data Integration Architect by teaching you the various components of Azure Synapse Analytics that enable you to build your analytical solutions in one place.

See salaries and explore the career path for Data Integration Architect

Cloud Architect

Cloud Architects design and implement cloud computing solutions. This course may be useful for you as a Cloud Architect by teaching you how Azure Synapse Analytics solves the issue of having a single service to fulfill the broad range of analytics requirements that organizations face today.

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Introduction to Microsoft Azure Synapse Analytics

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