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Matija Matisic

In this project you will create and manage instances of Azure SQL Database and Azure Synapse Analytics services.

You will configure Azure SQL Server and Database level firewall, connect to the instance, and query the sample database.

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In this project you will create and manage instances of Azure SQL Database and Azure Synapse Analytics services.

You will configure Azure SQL Server and Database level firewall, connect to the instance, and query the sample database.

After completing SQL Database tasks, you will create Azure Synapse Analytics workspace with serverless and dedicated instances to import, aggregate, and export data.

By completing this project, you will understand the differences between both services and how they compare to on-premises solutions.

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Syllabus

Project Overview
In this project you will create and manage instances of Azure SQL Database and Azure Synapse Analytics services. You will configure Azure SQL Server and Database level firewall, connect to the instance, and query the sample database. After completing SQL Database tasks, you will create Azure Synapse Analytics workspace with serverless and dedicated instances to import, aggregate, and export data. By completing this project, you will understand the differences between both services and how they compare to on-premises solutions.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills and knowledge that are highly relevant to industry
Taught by established and recognized instructors
Offered by a reputable course provider

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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 Working with Relational Data Stores in Azure with these activities:
Review SQL basics
Refreshes SQL knowledge so that the student has a strong foundation to start the course
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Show steps
  • Review SQL syntax and commands
  • Practice writing simple SQL queries
Develop a Resource Compilation on Database Technologies
Creating a curated list of resources will serve as a valuable reference for your future learning and projects related to database technologies.
Browse courses on Database Technologies
Show steps
  • Search for online resources, articles, tutorials, and tools related to database technologies.
  • Evaluate and select the most relevant and high-quality resources.
  • Organize the resources into categories or topics for easy access.
Follow a tutorial on Azure SQL Database or Synapse Analytics
Provides additional guidance and practice on specific topics covered in the course
Browse courses on Azure SQL Database
Show steps
  • Find a tutorial that aligns with your learning goals
  • Follow the tutorial step-by-step
  • Complete the exercises and review the solutions
11 other activities
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Practice SQL Queries on Sample Databases
Regular practice with SQL queries will improve your fluency and confidence in working with databases.
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Show steps
  • Download sample databases from websites like Kaggle or GitHub.
  • Use SQL tools or IDEs to connect to the databases and practice writing queries.
  • Focus on queries related to data retrieval, filtering, aggregation, and manipulation.
Follow Tutorials on Azure SQL Database and Azure Synapse Analytics
Official tutorials from Microsoft will provide a structured and guided approach to learning about the specific tools and technologies used in this course.
Browse courses on Azure SQL Database
Show steps
  • Visit the Microsoft Learn website and search for tutorials related to Azure SQL Database and Azure Synapse Analytics.
  • Follow the step-by-step instructions in the tutorials to create and manage databases, write queries, and analyze data.
  • Complete the exercises and quizzes to reinforce your understanding.
Review Database Management Systems
Reviewing the fundamentals of database management will strengthen your foundation for understanding the concepts and techniques discussed in this course.
Show steps
  • Read chapters 1-3 to gain an overview of database systems and their components.
  • Review the concepts of data modeling, including ER diagrams and relational schemas.
  • Practice creating and manipulating databases using SQL queries.
Join a study group
Provides students with an opportunity to collaborate, ask questions, and learn from peers
Show steps
  • Find a study group to join
  • Attend study group meetings regularly
  • Participate in discussions and ask questions
Create a Database for a Simple Web Application
Building a database for a real-world scenario will provide hands-on experience and reinforce the concepts learned in this course.
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Show steps
  • Define the requirements for your web application and identify the data that needs to be stored.
  • Design the database schema using ER diagrams or other modeling techniques.
  • Create the database using SQL and populate it with sample data.
  • Write SQL queries to retrieve and manipulate data from your database.
Solve SQL practice problems
Provides practice applying SQL skills to solve real-world problems
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Show steps
  • Find SQL practice problems online or in textbooks
  • Solve the problems and check your answers
  • Review the solutions to understand the correct approach
Develop a Data Analytics Dashboard
Creating a data analytics dashboard will allow you to apply the skills learned in this course to a practical problem and showcase your abilities.
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Show steps
  • Gather data from various sources and clean it for analysis.
  • Use Tableau or Power BI to create interactive visualizations that present the data in a meaningful way.
  • Develop insights from the data and create a dashboard that communicates these insights effectively.
Attend a Data Science Meetup or Webinar
Attending industry events will expose you to the latest trends and connect you with professionals in the field, expanding your knowledge and network.
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Show steps
  • Research upcoming data science meetups or webinars in your area or online.
  • Register for the event and attend virtually or in-person.
  • Engage with speakers, attendees, and vendors to learn about new technologies and career opportunities.
Create a presentation on Azure SQL Database and Synapse Analytics
Reinforces understanding by requiring students to explain concepts to others
Browse courses on Azure SQL Database
Show steps
  • Research Azure SQL Database and Synapse Analytics
  • Create a presentation outline
  • Develop the presentation content
  • Present the presentation to others
Participate in a Hands-on Data Analysis Workshop
Practical workshops will allow you to apply the concepts and techniques learned in this course to real-world data, enhancing your skills and confidence.
Browse courses on Data Analysis
Show steps
  • Identify workshops offered by universities, training centers, or online platforms.
  • Enroll in a workshop that aligns with the topics covered in this course and your career goals.
  • Attend the workshop and actively participate in hands-on exercises and discussions.
Build a data analytics application using Azure SQL Database and Synapse Analytics
Provides hands-on experience applying concepts learned in the course to a real-world scenario
Browse courses on Azure SQL Database
Show steps
  • Define the scope and goals of the project
  • Design the application architecture
  • Develop and test the application
  • Deploy the application to Azure

Career center

Learners who complete Working with Relational Data Stores in Azure will develop knowledge and skills that may be useful to these careers:
Database Administrator
A Database Administrator manages and maintains databases, ensuring that they are running smoothly and efficiently. This course provides a foundation in working with relational data stores in Azure, which is essential knowledge for anyone who wants to become a Database Administrator. The course covers topics such as creating and managing Azure SQL Database and Azure Synapse Analytics instances, configuring firewall settings, and querying sample databases. This knowledge will help you to build a strong foundation for a career as a Database Administrator.
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help businesses make informed decisions. This course provides a foundation in working with relational data stores in Azure, which is essential knowledge for anyone who wants to become a Data Analyst. The course covers topics such as creating and managing Azure SQL Database and Azure Synapse Analytics instances, configuring firewall settings, and querying sample databases. This knowledge will help you to build a strong foundation for a career as a Data Analyst.
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines to ensure that data is available to businesses in a timely and accurate manner. This course provides a foundation in working with relational data stores in Azure, which is essential knowledge for anyone who wants to become a Data Engineer. The course covers topics such as creating and managing Azure SQL Database and Azure Synapse Analytics instances, configuring firewall settings, and querying sample databases. This knowledge will help you to build a strong foundation for a career as a Data Engineer.
Data Scientist
A Data Scientist uses data to build models that can predict future events or trends. This course provides a foundation in working with relational data stores in Azure, which is essential knowledge for anyone who wants to become a Data Scientist. The course covers topics such as creating and managing Azure SQL Database and Azure Synapse Analytics instances, configuring firewall settings, and querying sample databases. This knowledge will help you to build a strong foundation for a career as a Data Scientist.
Business Analyst
A Business Analyst helps businesses to improve their performance by analyzing data and making recommendations. This course provides a foundation in working with relational data stores in Azure, which can be helpful for Business Analysts who need to work with data. The course covers topics such as creating and managing Azure SQL Database and Azure Synapse Analytics instances, configuring firewall settings, and querying sample databases. This knowledge can help Business Analysts to better understand how data is stored and managed, and how it can be used to improve business performance.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course provides a foundation in working with relational data stores in Azure, which can be helpful for Software Engineers who need to work with data. The course covers topics such as creating and managing Azure SQL Database and Azure Synapse Analytics instances, configuring firewall settings, and querying sample databases. This knowledge can help Software Engineers to better understand how data is stored and managed, and how it can be used to develop software applications.
IT Manager
An IT Manager plans, implements, and manages IT systems and services for an organization. This course provides a foundation in working with relational data stores in Azure, which can be helpful for IT Managers who need to work with data. The course covers topics such as creating and managing Azure SQL Database and Azure Synapse Analytics instances, configuring firewall settings, and querying sample databases. This knowledge can help IT Managers to better understand how data is stored and managed, and how it can be used to support the organization's business goals.
Project Manager
A Project Manager plans, executes, and closes projects. This course provides a foundation in working with relational data stores in Azure, which can be helpful for Project Managers who need to work with data. The course covers topics such as creating and managing Azure SQL Database and Azure Synapse Analytics instances, configuring firewall settings, and querying sample databases. This knowledge can help Project Managers to better understand how data is stored and managed, and how it can be used to track project progress and make informed decisions.
Data Architect
A Data Architect designs and builds data architectures to support business intelligence and analytics. This course provides a foundation in working with relational data stores in Azure, which is essential knowledge for anyone who wants to become a Data Architect. The course covers topics such as creating and managing Azure SQL Database and Azure Synapse Analytics instances, configuring firewall settings, and querying sample databases. This knowledge will help you to build a strong foundation for a career as a Data Architect.
Database Developer
A Database Developer designs and develops database applications. This course provides a foundation in working with relational data stores in Azure, which is essential knowledge for anyone who wants to become a Database Developer. The course covers topics such as creating and managing Azure SQL Database and Azure Synapse Analytics instances, configuring firewall settings, and querying sample databases. This knowledge will help you to build a strong foundation for a career as a Database Developer.
Data Warehouse Architect
A Data Warehouse Architect designs and builds data warehouses to support business intelligence and analytics. This course provides a foundation in working with relational data stores in Azure, which is essential knowledge for anyone who wants to become a Data Warehouse Architect. The course covers topics such as creating and managing Azure SQL Database and Azure Synapse Analytics instances, configuring firewall settings, and querying sample databases. This knowledge will help you to build a strong foundation for a career as a Data Warehouse Architect.
Data Governance Analyst
A Data Governance Analyst helps organizations to manage and govern their data. This course provides a foundation in working with relational data stores in Azure, which can be helpful for Data Governance Analysts who need to work with data. The course covers topics such as creating and managing Azure SQL Database and Azure Synapse Analytics instances, configuring firewall settings, and querying sample databases. This knowledge can help Data Governance Analysts to better understand how data is stored and managed, and how it can be used to support the organization's data governance policies.
Data Integration Engineer
A Data Integration Engineer designs and builds data integration solutions to move data between different systems. This course provides a foundation in working with relational data stores in Azure, which is essential knowledge for anyone who wants to become a Data Integration Engineer. The course covers topics such as creating and managing Azure SQL Database and Azure Synapse Analytics instances, configuring firewall settings, and querying sample databases. This knowledge will help you to build a strong foundation for a career as a Data Integration Engineer.
Machine Learning Engineer
A Machine Learning Engineer designs and builds machine learning models to solve business problems. This course provides a foundation in working with relational data stores in Azure, which can be helpful for Machine Learning Engineers who need to work with data. The course covers topics such as creating and managing Azure SQL Database and Azure Synapse Analytics instances, configuring firewall settings, and querying sample databases. This knowledge can help Machine Learning Engineers to better understand how data is stored and managed, and how it can be used to build machine learning models.

Reading list

We've selected six 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 Working with Relational Data Stores in Azure.
A comprehensive reference document for the Azure Data Platform, providing detailed information on services such as Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake.
Provides a detailed look at how to perform tasks such as configuring, managing, and monitoring SQL databases in Azure.
Provides a comprehensive overview of database systems. It covers a wide range of topics, including data modeling, database design, and database implementation. The book would be a valuable resource for anyone who is looking to learn more about database systems.
Provides a comprehensive overview of data warehousing. It covers a wide range of topics, including data warehousing concepts, data warehousing design, and data warehousing implementation. The book would be a valuable resource for anyone who is looking to learn more about data warehousing.
Provides a comprehensive overview of dimensional modeling. It covers a wide range of topics, including dimensional modeling concepts, dimensional modeling design, and dimensional modeling implementation. The book would be a valuable resource for anyone who is looking to learn more about dimensional modeling.
Provides a comprehensive overview of Hadoop. It covers a wide range of topics, including Hadoop concepts, Hadoop design, and Hadoop implementation. The book would be a valuable resource for anyone who is looking to learn more about Hadoop.

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