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John Savill

With its vast array of data services it can often be unclear how Azure data services can be part of a hybrid solution. In this course we will explore hybrid solutions that include Azure data services, including connectivity considerations.

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With its vast array of data services it can often be unclear how Azure data services can be part of a hybrid solution. In this course we will explore hybrid solutions that include Azure data services, including connectivity considerations.

Understanding the capabilities related to hybrid use for Azure data services can be overwhelming. In this course, Implementing Hybrid Data Solutions in Microsoft Azure, you will learn foundational knowledge of Azure data services use in a hybrid solution. First, you will learn core hybrid data considerations. Next, you will discover how to utilize Azure data services in a hybrid solution. Finally, you will explore how to optimize your data solution. When you’re finished with this course, you will have the skills and knowledge of hybrid data solutions needed to include Azure data services as part of a complete solution.

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What's inside

Syllabus

Course Overview
Understanding Hybrid Data Systems
Implementing Hybrid Data Systems
Optimizing and Maintaining a Hybrid Data Solution
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Serves data professionals seeking to optimize their Azure hybrid data solutions
Suitable for IT professionals working with hybrid data management
Useful for those involved in designing and implementing hybrid data solutions within Azure
Relevant for professionals exploring the integration of Azure data services into their existing hybrid infrastructure
Taught by John Savill, an experienced instructor on Microsoft Azure topics

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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 Implementing Hybrid Data Solutions in Microsoft Azure with these activities:
Review Core Hybrid Data Concepts
Review core hybrid data concepts and their use in Azure data services to prepare for a stronger conceptual foundation.
Show steps
  • Review documentation on hybrid data concepts of Microsoft Azure
  • Review introductory tutorials on hybrid data systems in Azure
Review data modeling concepts
Review the fundamentals of data modeling to strengthen your understanding of how data is structured and organized.
Browse courses on Data Modeling
Show steps
  • Read articles and tutorials on data modeling concepts.
  • Create a simple data model for a real-world scenario.
Explore Azure Documentation on Hybrid Data Solutions
Explore Azure documentation on hybrid data solutions to gain supplementary knowledge and resources for the course.
Browse courses on Azure Data Services
Show steps
  • Read through Microsoft Azure documentation on hybrid data solutions
  • Explore Azure tutorials on implementing hybrid data solutions
  • Join Azure community forums on hybrid data solutions
Seven other activities
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Show all ten activities
Participate in study groups or discussion forums
Engage with peers and instructors to clarify concepts, ask questions, and exchange ideas, fostering a collaborative learning environment.
Show steps
  • Join or create a study group with other students in the course.
  • Participate in online discussion forums or attend live Q&A sessions.
  • Ask questions, share insights, and engage with others to enhance your learning.
Participate in Discussion Forums
Participate in discussion forums related to hybrid data solutions to engage with peers and exchange knowledge.
Show steps
  • Join online discussion forums on hybrid data solutions
  • Ask questions and share insights in the discussion forums
  • Engage in discussions with peers and experts
Follow tutorials on Azure data services
Gain hands-on experience with Azure data services through guided tutorials, solidifying your understanding of their capabilities and implementation.
Browse courses on Azure Data Services
Show steps
  • Choose a specific Azure data service based on course content.
  • Follow official Microsoft or Pluralsight tutorials for that service.
  • Complete the exercises and labs provided in the tutorials.
Attend a workshop on Azure hybrid data solutions
Deepen your understanding by attending a hands-on workshop led by experts, providing practical experience and exposure to real-world scenarios.
Show steps
  • Research and identify relevant workshops on Azure hybrid data solutions.
  • Register and attend the workshop.
  • Actively participate in the workshop activities and discussions.
Create a blog post or article on hybrid data solutions
Demonstrate your understanding and enhance your communication skills by creating a written piece on hybrid data solutions, reinforcing your knowledge and sharing it with others.
Show steps
  • Research and gather information on hybrid data solutions.
  • Outline the key concepts and benefits of hybrid data solutions.
  • Discuss the challenges and best practices involved in implementing hybrid data solutions.
  • Summarize your findings and provide insights for readers.
Create a Presentation on Hybrid Data Solutions
Create a presentation on hybrid data solutions to reinforce learnings, demonstrate understanding, and potentially share knowledge with others.
Show steps
  • Choose a specific topic related to hybrid data solutions
  • Research and gather information on the chosen topic
  • Create slides or other presentation materials
  • Practice delivering the presentation
  • Deliver the presentation to an audience or share it online
Mentor a junior student or colleague on hybrid data solutions
Reinforce your knowledge and strengthen your communication skills by sharing your understanding with others, while also contributing to their learning journey.
Show steps
  • Identify a junior student or colleague who would benefit from your guidance.
  • Schedule regular mentoring sessions to discuss hybrid data solutions.
  • Provide guidance, answer questions, and share your experiences.

Career center

Learners who complete Implementing Hybrid Data Solutions in Microsoft Azure will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist uses data to solve business problems. The Implementing Hybrid Data Solutions in Microsoft Azure course can be useful for a Data Scientist, as it provides a foundation in hybrid data systems and how to implement them. This course can help a Data Scientist to understand how to collect and analyze data from a variety of sources, including both on-premises and cloud-based systems. It can also help a Data Scientist to learn how to build machine learning models that can be used to solve business problems.
Data Architect
A Data Architect designs and builds data systems. The Implementing Hybrid Data Solutions in Microsoft Azure course may be useful for a Data Architect, as it provides a foundation in hybrid data systems and how to implement them. This course can help a Data Architect to understand how to design and build data systems that can handle both on-premises and cloud-based data. It can also help a Data Architect to learn how to optimize data systems for performance and scalability.
Data Analyst
A Data Analyst collects, processes, and analyzes data to identify trends and patterns. The Implementing Hybrid Data Solutions in Microsoft Azure course can be useful for a Data Analyst, as it provides a foundation in hybrid data systems and how to implement them. This course can help a Data Analyst to understand how to collect and analyze data from a variety of sources, including both on-premises and cloud-based systems. It can also help a Data Analyst to learn how to optimize data solutions for performance and scalability.
Database Administrator
A Database Administrator manages and maintains databases. The Implementing Hybrid Data Solutions in Microsoft Azure course may be useful for a Database Administrator, as it provides a foundation in hybrid data systems and how to implement them. This course can help a Database Administrator to understand how to manage and maintain databases that are located both on-premises and in the cloud. It can also help a Database Administrator to learn how to optimize databases for performance and scalability.
Data Engineer
A Data Engineer designs, builds, and maintains data systems. The Implementing Hybrid Data Solutions in Microsoft Azure course may be useful for a Data Engineer, as it provides a foundation in hybrid data systems and how to implement them. This course can help a Data Engineer to understand how to design and build data systems that can handle both on-premises and cloud-based data. It can also help a Data Engineer to learn how to optimize data systems for performance and scalability.
Cloud Architect
A Cloud Architect designs and builds cloud-based solutions. The Implementing Hybrid Data Solutions in Microsoft Azure course can be useful for a Cloud Architect, as it provides a foundation in hybrid data systems and how to implement them. This course can help a Cloud Architect to understand how to design and build cloud-based solutions that can handle both on-premises and cloud-based data. It can also help a Cloud Architect to learn how to optimize cloud-based solutions for performance and scalability.
Data Management Consultant
A Data Management Consultant helps organizations to manage their data effectively. The Implementing Hybrid Data Solutions in Microsoft Azure course may be useful for a Data Management Consultant, as it provides a foundation in hybrid data systems and how to implement them. This course can help a Data Management Consultant to understand how to help organizations to develop and implement data management strategies that can be used to manage both on-premises and cloud-based data.
Business Intelligence Analyst
A Business Intelligence Analyst uses data to make business decisions. The Implementing Hybrid Data Solutions in Microsoft Azure course may be useful for a Business Intelligence Analyst, as it provides a foundation in hybrid data systems and how to implement them. This course can help a Business Intelligence Analyst to understand how to collect and analyze data from a variety of sources, including both on-premises and cloud-based systems. It can also help a Business Intelligence Analyst to learn how to build data visualizations and dashboards that can be used to make business decisions.
Cloud Engineer
A Cloud Engineer builds and maintains cloud-based solutions. The Implementing Hybrid Data Solutions in Microsoft Azure course can be useful for a Cloud Engineer, as it provides a foundation in hybrid data systems and how to implement them. This course can help a Cloud Engineer to understand how to build and maintain cloud-based solutions that can handle both on-premises and cloud-based data. It can also help a Cloud Engineer to learn how to optimize cloud-based solutions for performance and scalability.
Data Governance Specialist
A Data Governance Specialist develops and implements data governance policies and procedures. The Implementing Hybrid Data Solutions in Microsoft Azure course can be useful for a Data Governance Specialist, as it provides a foundation in hybrid data systems and how to implement them. This course can help a Data Governance Specialist to understand how to develop and implement data governance policies and procedures that can be used to manage both on-premises and cloud-based data.
Database Developer
A Database Developer designs and builds databases. The Implementing Hybrid Data Solutions in Microsoft Azure course may be useful for a Database Developer, as it provides a foundation in hybrid data systems and how to implement them. This course can help a Database Developer to understand how to design and build databases that can be located both on-premises and in the cloud. It can also help a Database Developer to learn how to optimize databases for performance and scalability.
Data Warehouse Architect
A Data Warehouse Architect designs and builds data warehouses. The Implementing Hybrid Data Solutions in Microsoft Azure course may be useful for a Data Warehouse Architect, as it provides a foundation in hybrid data systems and how to implement them. This course can help a Data Warehouse Architect to understand how to design and build data warehouses that can handle both on-premises and cloud-based data. It can also help a Data Warehouse Architect to learn how to optimize data warehouses for performance and scalability.
Data Integration Specialist
A Data Integration Specialist integrates data from multiple sources into a single, unified view. The Implementing Hybrid Data Solutions in Microsoft Azure course can be useful for a Data Integration Specialist, as it provides a foundation in hybrid data systems and how to implement them. This course can help a Data Integration Specialist to understand how to integrate data from multiple sources, including both on-premises and cloud-based systems. It can also help a Data Integration Specialist to learn how to optimize data integration solutions for performance and scalability.
Data Privacy Specialist
A Data Privacy Specialist protects the privacy of data. The Implementing Hybrid Data Solutions in Microsoft Azure course may be useful for a Data Privacy Specialist, as it provides a foundation in hybrid data systems and how to implement them. This course can help a Data Privacy Specialist to understand how to develop and implement data privacy policies and procedures that can be used to protect the privacy of both on-premises and cloud-based data.
Data Security Specialist
A Data Security Specialist protects the security of data. The Implementing Hybrid Data Solutions in Microsoft Azure course may be useful for a Data Security Specialist, as it provides a foundation in hybrid data systems and how to implement them. This course can help a Data Security Specialist to understand how to develop and implement data security policies and procedures that can be used to protect the security of both on-premises and cloud-based data.

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 Implementing Hybrid Data Solutions in Microsoft Azure.
Provides a comprehensive overview of the design principles and patterns for building data-intensive applications. It covers topics such as data modeling, data storage and processing, and data analytics.
Provides a comprehensive overview of cloud computing concepts, technologies, and architectures. It good foundation for understanding the basics
Provides a comprehensive overview of hybrid cloud security risks and best practices. It covers topics such as identity and access management, data security, and threat protection.
Provides a comprehensive overview of Python for data analysis. It covers topics such as data cleaning, data manipulation, and data visualization.
Provides a practical introduction to data visualization. It covers topics such as data visualization principles, data visualization techniques, and data visualization tools.

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