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Amy Coughlin and A Cloud Guru

**Get ready to go on a journey and explore Azure Data Studio (ADS)!** With an exploration of the user interface and plenty of hands-on demonstrations, you will gain experience working with the tool and connecting to various data sources — both local and cloud based. This course will also introduce many of the unique features of ADS that will help you with visualizing data and sharing data insights with others. By the end of the course, you will be able to get started with ADS, configure multiple data connections, understand how to configure secure connections, customize the user interface, and gain an understanding of how to use widgets/visualizations as well as SQL Notebooks.

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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores Azure Data Studio, which is an essential tool for data professionals working with cloud-based data
Taught by Amy Coughlin, an experienced data engineer and trainer
Taught by A Cloud Guru, an established provider of cloud computing education
Involves hands-on demonstrations, providing practical experience with the tool
Covers connecting to various data sources, both local and cloud-based
Introduces unique features of ADS for data visualization and sharing insights with others

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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 Azure Data Studio​ ​(ADS): An Explorer's Guide with these activities:
Review Azure fundamentals
Azure Data Studio leverages many Azure services and concepts that are common throughout the Azure platform. Reviewing Azure fundamentals will help ensure a solid foundation.
Browse courses on Azure Fundamentals
Show steps
  • Enroll in the free Azure Fundamentals course on Microsoft Learn.
  • Review the course materials, including videos, articles, and interactive exercises.
  • Take practice quizzes and tests to assess your understanding.
AWS vs Azure vs GCP
Azure Data Studio is a cloud-based platform. Understanding the broader landscape of cloud providers will help you appreciate the benefits and limitations of Azure.
Show steps
  • Explore vendor websites and documentation for AWS, Azure, and GCP.
  • Read articles and blog posts that compare and contrast the three providers.
  • Attend webinars or watch videos hosted by analysts or industry experts.
Review SQL fundamentals
Reviewing SQL fundamentals will provide a strong foundation for working with Azure Data Studio.
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Show steps
  • Read through a SQL tutorial
  • Practice writing basic SQL queries
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Join an ADS user group
Joining an ADS user group will provide opportunities to connect with other users and learn from their experiences.
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Show steps
  • Find an ADS user group
  • Attend user group meetings
  • Participate in discussions
Complete ADS tutorials
Completing ADS tutorials will provide hands-on experience with the tool.
Browse courses on Azure Data Studio
Show steps
  • Follow the official Microsoft ADS tutorials
  • Explore the ADS documentation
Create a new query in Azure Data Studio
Hands-on practice with the Azure Data Studio interface will help you become comfortable and efficient with the tool.
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Show steps
  • Open Azure Data Studio and connect to a data source.
  • Create a new query and enter a simple SQL statement.
  • Execute the query and view the results.
Practice using ADS widgets
Practicing using ADS widgets will help develop proficiency with the tool's features.
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Show steps
  • Explore the different types of widgets
  • Create and customize widgets
  • Use widgets to visualize data
Attend a local Azure meetup
Connecting with other Azure enthusiasts will help you expand your knowledge and stay up-to-date with the latest trends.
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Show steps
  • Search for Azure meetups in your area.
  • Register for the meetup and attend.
  • Introduce yourself and connect with other attendees.
  • Participate in discussions and share your experiences.
Volunteer as a mentor for new Azure Data Studio users
Sharing your knowledge and experience with others will reinforce your own understanding and help build the Azure Data Studio community.
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Show steps
  • Join the Azure Data Studio community forum.
  • Identify opportunities to answer questions and provide guidance to new users.
  • Offer to mentor specific individuals or groups.
Build a data visualization dashboard
Building a data visualization dashboard will provide experience with one of ADS's key features.
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Show steps
  • Choose a dataset to work with
  • Design the dashboard
  • Create the visualizations
  • Publish the dashboard
Write a blog post about your experience with Azure Data Studio
Writing about your experience with Azure Data Studio will help you synthesize what you have learned and share your knowledge with others.
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Show steps
  • Choose a specific feature or aspect of Azure Data Studio to focus on.
  • Gather your thoughts and experiences with the tool.
  • Write a draft of your blog post, including an introduction, body, and conclusion.
  • Edit and refine your post for clarity and conciseness.
  • Publish your blog post on a platform such as Medium or your own website.
Contribute to the Azure Data Studio project on GitHub
Getting involved with the Azure Data Studio open-source community will give you a deeper understanding of the product and its development process.
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Show steps
  • Fork the Azure Data Studio repository on GitHub.
  • Make changes to the code or documentation.
  • Submit a pull request to the main repository.
  • Collaborate with other contributors to refine your changes.

Career center

Learners who complete Introduction to Azure Data Studio​ ​(ADS): An Explorer's Guide will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts collect, process, and interpret data to help organizations make informed decisions. This course provides a strong foundation in Azure Data Studio (ADS), which is a powerful tool for data analysts. ADS can be used to connect to a variety of data sources, both on-premises and in the cloud. It also has a number of features that make it easy to visualize and analyze data. By taking this course, you will learn how to use ADS to get the most out of your data.
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure. This course provides a strong foundation in Azure Data Studio (ADS), which is a powerful tool for data engineers. ADS can be used to connect to a variety of data sources, both on-premises and in the cloud. It also has a number of features that make it easy to transform and clean data. By taking this course, you will learn how to use ADS to build and maintain data pipelines that meet the needs of your organization.
Data Scientist
Data Scientists use scientific methods to extract knowledge from data. This course provides a strong foundation in Azure Data Studio (ADS), which is a powerful tool for data scientists. ADS can be used to connect to a variety of data sources, both on-premises and in the cloud. It also has a number of features that make it easy to explore and visualize data. By taking this course, you will learn how to use ADS to extract insights from your data and make predictions.
Database Administrator
Database Administrators (DBAs) are responsible for the design, implementation, and maintenance of databases. This course provides a strong foundation in Azure Data Studio (ADS), which is a powerful tool for DBAs. ADS can be used to connect to a variety of databases, both on-premises and in the cloud. It also has a number of features that make it easy to manage and optimize databases. By taking this course, you will learn how to use ADS to keep your databases running smoothly.
Business Analyst
Business Analysts help organizations understand their business needs and develop solutions to meet those needs. This course provides a strong foundation in Azure Data Studio (ADS), which is a powerful tool for business analysts. ADS can be used to connect to a variety of data sources, both on-premises and in the cloud. It also has a number of features that make it easy to visualize and analyze data. By taking this course, you will learn how to use ADS to gain insights into your business data and make better decisions.
Software Engineer
Software Engineers design, develop, and test software applications. This course provides a strong foundation in Azure Data Studio (ADS), which is a powerful tool for software engineers. ADS can be used to connect to a variety of data sources, both on-premises and in the cloud. It also has a number of features that make it easy to develop and test software applications. By taking this course, you will learn how to use ADS to build better software applications.
Cloud Architect
Cloud Architects design and manage cloud computing systems. This course provides a strong foundation in Azure Data Studio (ADS), which is a powerful tool for cloud architects. ADS can be used to connect to a variety of data sources, both on-premises and in the cloud. It also has a number of features that make it easy to design and manage cloud computing systems. By taking this course, you will learn how to use ADS to build and maintain cloud computing systems that meet the needs of your organization.
Data Visualization Specialist
Data Visualization Specialists create визуаls that communicate data insights to a wide audience. This course provides a strong foundation in Azure Data Studio (ADS), which is a powerful tool for data visualization specialists. ADS has a number of features that make it easy to create визуаls that are both informative and visually appealing. By taking this course, you will learn how to use ADS to create data визуаls that will help your audience understand your data.
IT Manager
IT Managers plan, implement, and manage IT systems and services. This course provides a strong foundation in Azure Data Studio (ADS), which is a powerful tool for IT managers. ADS can be used to connect to a variety of data sources, both on-premises and in the cloud. It also has a number of features that make it easy to manage and optimize IT systems and services. By taking this course, you will learn how to use ADS to keep your IT systems and services running smoothly.
Project Manager
Project Managers plan, execute, and close projects. This course provides a strong foundation in Azure Data Studio (ADS), which is a powerful tool for project managers. ADS can be used to connect to a variety of data sources, both on-premises and in the cloud. It also has a number of features that make it easy to track and manage project progress. By taking this course, you will learn how to use ADS to manage your projects more effectively.
Security Analyst
Security Analysts identify, assess, and mitigate security risks. This course provides a strong foundation in Azure Data Studio (ADS), which is a powerful tool for security analysts. ADS can be used to connect to a variety of data sources, both on-premises and in the cloud. It also has a number of features that make it easy to detect and investigate security threats. By taking this course, you will learn how to use ADS to keep your organization's data safe.
Data Governance Specialist
Data Governance Specialists develop and implement policies and procedures to ensure that data is used in a consistent and ethical manner. This course provides a strong foundation in Azure Data Studio (ADS), which is a powerful tool for data governance specialists. ADS can be used to connect to a variety of data sources, both on-premises and in the cloud. It also has a number of features that make it easy to monitor and track data usage. By taking this course, you will learn how to use ADS to implement data governance policies and procedures.
Database Developer
Database Developers design and develop databases. This course provides a strong foundation in Azure Data Studio (ADS), which is a powerful tool for database developers. ADS can be used to connect to a variety of databases, both on-premises and in the cloud. It also has a number of features that make it easy to design and develop databases. By taking this course, you will learn how to use ADS to build better databases.
Data Journalist
Data Journalists use data to tell stories and inform the public. This course provides a strong foundation in Azure Data Studio (ADS), which is a powerful tool for data journalists. ADS can be used to connect to a variety of data sources, both on-premises and in the cloud. It also has a number of features that make it easy to explore and visualize data. By taking this course, you will learn how to use ADS to find and tell stories that are based on data.
Statistician
Statisticians collect, analyze, and interpret data. This course may provide a useful foundation in Azure Data Studio (ADS), which is a powerful tool for statisticians. ADS can be used to connect to a variety of data sources, both on-premises and in the cloud. It also has a number of features that make it easy to explore and visualize data. By taking this course, you will learn how to use ADS to get the most out of your data.

Reading list

We've selected eight 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 Introduction to Azure Data Studio​ ​(ADS): An Explorer's Guide.
This official Microsoft training material provides a comprehensive overview of Azure data services, including Azure Data Studio. Its coverage of data storage, analytics, and governance can help learners gain a deeper understanding of the broader Azure ecosystem in which Azure Data Studio operates.
This comprehensive guide provides a deep dive into T-SQL, the language used in Azure Data Studio for interacting with databases. It covers advanced concepts like stored procedures, triggers, and user-defined functions, making it suitable for those seeking a deeper understanding of data manipulation and management.
This German-language book offers a comprehensive introduction to data analysis with Python. Its coverage of data cleaning, feature engineering, and machine learning can provide a foundation for leveraging Azure Data Studio's integration with Python and R for data analysis tasks.
Offers a comprehensive overview of cloud computing concepts, architectures, and technologies. Its coverage of cloud services, infrastructure, and security can provide a broader context for understanding the role of Azure Data Studio in cloud-based data management and analysis.
Provides a comprehensive overview of data management concepts and best practices, including data quality, data integration, and data governance. Its coverage of data management challenges and solutions can enhance the understanding of data handling and preparation in Azure Data Studio.
Offers a broad overview of data science concepts and techniques, providing a foundation for understanding how data can be used to solve business problems. Its coverage of data mining, machine learning, and statistical modeling can enhance the understanding of data analysis and visualization in Azure Data Studio.
Although not directly related to Azure Data Studio, this book offers valuable insights into data visualization techniques and best practices. Its coverage of chart types, dashboards, and interactive visualizations can complement the data exploration capabilities of Azure Data Studio.
Although not directly related to Azure Data Studio, this book offers valuable insights into deep learning techniques and applications. Its coverage of neural networks, convolutional neural networks, and recurrent neural networks can provide a foundation for understanding advanced data analysis and machine learning tasks that can be integrated with Azure Data Studio.

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