Data Warehousing with Microsoft Azure Synapse Analytics from Coursera

In this course, you will explore the tools and techniques that can be used to work with Modern Data Warehouses productively and securely within Azure Synapse Analytics. You will learn how Azure Synapse Analytics enables you to build Data Warehouses using modern architecture patterns and how the common schema is implemented in a data warehouse. You'll learn the best practices you need to adopt to load data into a data warehouse and the techniques that you can use to optimize query performance within Azure Synapse Analytics.

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 fifth 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

Design a Modern Data Warehouse using Azure Synapse Analytics

In this module, you will learn how Azure Synapse Analytics enables you to build Data Warehouses using modern architecture patterns.

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Suitable for data engineers and developers who want to demonstrate expertise in designing and implementing data solutions that use Microsoft Azure data services

Appropriate for professionals preparing for Exam DP-203: Data Engineering on Microsoft Azure (beta) because it teaches concepts and skills measured by the exam

Taught by Microsoft, which is recognized for its work in developing and maintaining Azure data services

Reviews summary

Azure synapse analytics for data engineers

According to learners, this course offers a strong foundation in Azure Synapse Analytics, particularly valuable for data engineers and those aiming for the DP-203 exam. Students frequently highlight the practical, hands-on labs and comprehensive coverage of modern data warehousing concepts, from design to security. While some earlier feedback pointed to challenges with outdated demos and lab setups, more recent reviews indicate significant improvements and continuous updates to the course material. This consistent effort ensures the course remains a highly relevant resource for career development in Azure data services, though some prior Azure experience is beneficial.

Material is current and reflects recent Azure changes.

"The updated content for recent Azure changes is a definite plus for its relevance."

"I noticed that the course material has received continuous updates, which is great."

"It covers everything I needed for a solid grasp of data warehousing in Azure Synapse."

Course content is organized and explanations are easy to follow.

"This course was well-structured and easy to follow. The explanations were clear..."

"I appreciated the detailed explanations of Synapse SQL Pool and Spark Pool integration."

"The instructor's pace was good, making complex topics digestible."

Instructor appears to be continuously updating course content.

"The updated content for recent Azure changes is a plus."

"The demos were largely up-to-date and practical, which was a great improvement."

"I appreciate that the course material seems to be continuously updated based on feedback and Azure changes."

Directly aids in preparing for the DP-203 exam.

"This course is fantastic for anyone preparing for DP-203."

"Great preparation for the DP-203 exam. The content really solidified my understanding of data warehousing patterns."

"DP-203 alignment is strong, and the practice exam was a great addition."

Emphasizes hands-on application of concepts.

"The hands-on labs are incredibly helpful, and the content is very relevant to real-world scenarios."

"The practical exercises cemented my understanding and were very useful."

"The hands-on coding and projects are the strongest part of the course for me."

Some prior Azure knowledge benefits the learning experience.

"It's best if you have some prior Azure experience, it's not for absolute beginners."

"I found that prerequisites were not explicitly clear, and I struggled with some initial concepts."

"Some topics felt a bit rushed, which required me to do extra reading to catch up."

Some reviewers encountered difficulties with lab setups and demos.

"The demos were sometimes hard to follow due to what appeared to be outdated screenshots."

"I found the lab environment setup to be a bit tricky and time-consuming at first."

"I encountered issues with the lab environments frequently... The practical side was frustrating."

"The practical parts often didn't work as described and the support was slow."

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 Data Warehousing with Microsoft Azure Synapse Analytics with these activities:

Review Basic Data Analytics Concepts

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Reviewing fundamental data analytics concepts will give you a solid foundation for learning about modern data warehouses in Azure Synapse Analytics.

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Read articles or blog posts on data analytics concepts
Review your notes from a previous data analytics course or workshop
Take a practice quiz on data analytics basics

Follow a Tutorial on Azure Synapse Analytics

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Following a guided tutorial will provide you with hands-on experience with Azure Synapse Analytics and help you understand its capabilities.

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Find a tutorial on the Microsoft Learn platform or YouTube
Follow the steps in the tutorial to create and explore a data warehouse in Azure Synapse Analytics
Experiment with different features and functionalities of Azure Synapse Analytics

Load and Query Data in Azure Synapse Analytics

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Practicing data loading and querying in Azure Synapse Analytics will enhance your understanding of how to work with data in a modern data warehouse.

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Create a dataset and load it into a data warehouse in Azure Synapse Analytics
Write queries to retrieve and analyze data from the data warehouse
Optimize your queries for performance

Four other activities

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Design a Data Warehouse Schema

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Designing a data warehouse schema will help you apply the principles of data warehouse design and gain experience in creating a logical structure for your data.

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Identify the business requirements for the data warehouse
Choose the appropriate data model for the warehouse
Design the tables and relationships in the schema
Document the schema design

Attend an Azure Synapse Analytics Workshop

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Attending an Azure Synapse Analytics workshop will provide you with in-depth knowledge and practical experience in working with Azure Synapse Analytics.

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Find an Azure Synapse Analytics workshop in your area or online
Register for the workshop
Attend the workshop and actively participate in the activities

Participate in a Data Analytics Competition

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Participating in a data analytics competition will challenge you to apply your skills and knowledge in a real-world scenario and provide an opportunity to learn from others.

Browse courses on Data Analytics

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Find a data analytics competition that aligns with your interests and skill level
Form a team or work individually on the competition
Analyze the data and develop insights
Submit your findings to the competition

Mentor a Junior Data Analyst

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Mentoring a junior data analyst will allow you to share your knowledge and experience while reinforcing your own understanding of Azure Synapse Analytics.

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Find a junior data analyst who is interested in learning about Azure Synapse Analytics
Set up regular meetings to provide guidance and support
Share your knowledge and experience in working with Azure Synapse Analytics
Provide feedback and encouragement to help the junior data analyst develop their skills

Career center

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

Data Warehouse Manager

A Data Warehouse Manager manages and maintains a data warehouse. This course can help you build skills in managing and monitoring Azure Synapse Analytics and other Microsoft Azure data services. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

See salaries and explore the career path for Data Warehouse Manager

ETL Developer

An ETL Developer designs and builds data pipelines to load data from source systems into a data warehouse. This course can help you build skills in loading data into a data warehouse and optimizing query performance within Azure Synapse Analytics. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

See salaries and explore the career path for ETL Developer

Data Engineer

A Data Engineer designs, builds, and maintains data pipelines and data warehouses. This course can help you build skills 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. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

See salaries and explore the career path for Data Engineer

Data Analyst

A Data Analyst analyzes data to identify trends and patterns. This course can help you build skills in querying data in Azure Synapse Analytics and understanding how the common schema is implemented in a data warehouse. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

See salaries and explore the career path for Data Analyst

Database Developer

A Database Developer designs and develops databases. This course can help you build skills in designing and implementing a modern data warehouse using Azure Synapse Analytics. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

See salaries and explore the career path for Database Developer

Data Integration Specialist

A Data Integration Specialist integrates data from multiple sources into a unified data warehouse. This course can help you build skills in integrating and transforming data into a data warehouse using Azure Synapse Analytics. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

See salaries and explore the career path for Data Integration Specialist

Database Administrator

A Database Administrator manages and maintains databases. This course can help you build skills in managing and monitoring Azure Synapse Analytics and other Microsoft Azure data services. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

See salaries and explore the career path for Database Administrator

Data Architect

A Data Architect designs and implements data management solutions to meet the needs of an organization. This course can help you build skills in designing and implementing a modern data warehouse using Azure Synapse Analytics and other Microsoft Azure data services. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

See salaries and explore the career path for Data Architect

Data Services Engineer

A Data Services Engineer designs, implements, and manages data services. This course can help you build skills in managing and monitoring Azure Synapse Analytics. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

See salaries and explore the career path for Data Services Engineer

Data Scientist

A Data Scientist uses data to build models and make predictions. This course can help you build skills in designing and implementing a modern data warehouse using Azure Synapse Analytics and other Microsoft Azure data services. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

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Software Engineer

A Software Engineer designs, develops, and maintains software applications. This course can help you build skills in integrating SQL and Apache Spark pools in Azure Synapse Analytics. You will also learn about the language capabilities that are available to create data warehouses in Azure Synapse Analytics. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

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Business Intelligence Analyst

A Business Intelligence Analyst uses data to make informed decisions. This course can help you build skills in analyzing information used to optimize a data warehouse in Azure Synapse Analytics. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

See salaries and explore the career path for Business Intelligence Analyst

Cloud Architect

A Cloud Architect designs and implements cloud-based solutions. This course can help you build skills in designing and implementing a modern data warehouse using Azure Synapse Analytics and other Microsoft Azure data services. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

See salaries and explore the career path for Cloud Architect

Data Governance Analyst

A Data Governance Analyst develops and implements data governance policies and procedures. This course can help you build skills in managing and monitoring Azure Synapse Analytics. You will also learn about security features in Azure Synapse Analytics. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

See salaries and explore the career path for Data Governance Analyst

Information Security Analyst

An Information Security Analyst protects an organization's data from unauthorized access, use, disclosure, disruption, modification, or destruction. This course can help you build skills in implementing security to protect your data with Azure Synapse Analytics. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

See salaries and explore the career path for Information Security Analyst