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John Savill

Data is one of the most important assets of every organization, but different use cases need different formats of data. This course will teach you all about how to store and integrate data in Azure.

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Data is one of the most important assets of every organization, but different use cases need different formats of data. This course will teach you all about how to store and integrate data in Azure.

Data has many different types and is used in many different ways which can be difficult to effectively enable. In this course, Microsoft Azure Solutions Architect: Design Data Integration, you’ll learn to fully utilize Azure data services to provide complete data integration for your needs. First, you’ll explore the common types of business data ingestion and usage types. Next, you’ll discover tools to manage data flows. Finally, you’ll learn how to transform and store data. When you’re finished with this course, you’ll have the skills and knowledge of data integration in Azure needed to enable the complete end-to-end data flow in your organization.

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What's inside

Syllabus

Enabling Data Flows in Azure
Data Integration and Storage

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by John Savill, who are recognized for their work in Azure Data
Teaches how to effectively enable different types of business data ingestion and usage
Develops core skills and knowledge of data integration in Azure for end-to-end data flow
Covers common types of business data ingestion and usage types
Teaches how to transform data
Students are expected to have some familiarity with Azure

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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 Microsoft Azure Solutions Architect: Design Data Integration with these activities:
Work through Data Storage Exercises
Practice the techniques and tools taught in this section to set yourself up for success in the later, more challenging sections.
Browse courses on Azure Data Services
Show steps
  • Complete exercise 1
  • Complete exercise 2
Watch videos on Azure Data Services
Follow along with these tutorials to reinforce your understanding of the tools and services available in Azure for data integration.
Browse courses on Azure Data Services
Show steps
  • Watch video 1
  • Watch video 2
Create a flowchart of data integration process
Creating a flowchart will allow you to visualize and understand the steps involved in data integration, helping you retain the information better.
Browse courses on Data Integration
Show steps
  • Identify the different steps in the data integration process
  • Create a flowchart that represents the steps
Three other activities
Expand to see all activities and additional details
Show all six activities
Discuss data storage and integration best practices
Discuss best practices for data storage and integration with your peers to compare notes and learn from each other's experiences.
Browse courses on Data Integration
Show steps
  • Find a peer or group to discuss with
  • Share your understanding of best practices
  • Listen and learn from others' perspectives
Contribute to an open-source data integration project
Contributing to an open-source project will allow you to apply your knowledge of data integration and storage in a real-world setting.
Browse courses on Data Integration
Show steps
  • Find an open-source data integration project to contribute to
  • Read the project's documentation and understand its goals
  • Make a contribution to the project
Mentor a junior engineer in data integration
Mentoring a junior engineer can help you reinforce your knowledge of data integration and storage while also helping others.
Browse courses on Data Integration
Show steps
  • Find a junior engineer to mentor
  • Share your knowledge and experience
  • Provide guidance and support

Career center

Learners who complete Microsoft Azure Solutions Architect: Design Data Integration will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts use their understanding of data and technology to extract meaningful insights from data, which can then be used to make better decisions. This course may be useful for aspiring Data Analysts because it will teach them how to store, integrate, transform, and manage data in Azure, which are all essential skills for this role.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines and infrastructure. This course may be useful for aspiring Data Engineers because it will teach them how to use Azure data services to provide complete data integration, which is a key part of this role.
Data Scientist
Data Scientists use their knowledge of data and statistics to build models that can predict future outcomes. This course may be useful for aspiring Data Scientists because it will teach them how to store, integrate, transform, and manage data in Azure, which are all essential skills for this role.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course may be useful for aspiring Database Administrators because it will teach them how to use Azure data services to provide complete data integration, which is a key part of this role.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course may be useful for aspiring Software Engineers because it will teach them how to use Azure data services to provide complete data integration, which is a key part of many software applications.
Business Analyst
Business Analysts use their understanding of business processes and data to identify and solve business problems. This course may be useful for aspiring Business Analysts because it will teach them how to use Azure data services to provide complete data integration, which can help them to better understand business processes and data.
Information Architect
Information Architects design and manage information systems. This course may be useful for aspiring Information Architects because it will teach them how to use Azure data services to provide complete data integration, which is a key part of this role.
Data Integration Architect
Data Integration Architects design and implement data integration solutions. This course may be useful for aspiring Data Integration Architects because it will teach them how to use Azure data services to provide complete data integration, which is a key part of this role.
Data Warehouse Architect
Data Warehouse Architects design and implement data warehouses. This course may be useful for aspiring Data Warehouse Architects because it will teach them how to use Azure data services to provide complete data integration, which is a key part of this role.
Database Designer
Database Designers design and implement databases. This course may be useful for aspiring Database Designers because it will teach them how to use Azure data services to provide complete data integration, which is a key part of this role.
Data Governance Analyst
Data Governance Analysts develop and implement data governance policies and procedures. This course may be useful for aspiring Data Governance Analysts because it will teach them how to use Azure data services to provide complete data integration, which is a key part of this role.
Data Privacy Analyst
Data Privacy Analysts develop and implement data privacy policies and procedures. This course may be useful for aspiring Data Privacy Analysts because it will teach them how to use Azure data services to provide complete data integration, which is a key part of this role.
Data Security Analyst
Data Security Analysts develop and implement data security policies and procedures. This course may be useful for aspiring Data Security Analysts because it will teach them how to use Azure data services to provide complete data integration, which is a key part of this role.
Data Architect
Data Architects design and implement data architectures. This course may be useful for aspiring Data Architects because it will teach them how to use Azure data services to provide complete data integration, which is a key part of this role.

Reading list

We've selected ten 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 Microsoft Azure Solutions Architect: Design Data Integration.
Comprehensive guide to data integration. It covers all aspects of data integration, from data modeling to data quality to data governance. It valuable resource for anyone who wants to learn more about data integration.
Provides a comprehensive guide to data integration. It covers all aspects of data integration, from data modeling to data quality to data governance. It valuable resource for anyone who wants to learn more about data integration.
Provides a collection of best practices for data integration. It will help you learn how to avoid common pitfalls and how to build data integration solutions that are successful.
Provides a foundational overview of data integration. It covers the basic concepts of data integration and how to apply them in practice. It valuable resource for anyone who is new to data integration.
Provides a deep dive into the principles of designing data-intensive applications. It is particularly valuable for understanding the different trade-offs involved in designing and implementing scalable and reliable systems.
Provides a catalog of data integration patterns. It covers the different types of data integration challenges, and how to solve them using proven patterns.
Provides a comprehensive overview of data warehousing concepts, technologies, and applications. It is particularly valuable for understanding the different types of data warehouses and how to design and implement them.
Provides a comprehensive overview of advanced data management topics, including data integration, data warehousing, and big data. It is particularly valuable for understanding the different challenges and techniques involved in managing large and complex datasets.

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