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Implementing a Data Management Strategy for an ASP.NET Core Microservices Architecture

Neil Morrissey

This course will teach you how to address common data management tasks in a microservices architecture.

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This course will teach you how to address common data management tasks in a microservices architecture.

Data management in a distributed architecture presents unique challenges and opportunities. In this course, Implementing a Data Management Strategy for an ASP.NET Core Microservices Architecture, you’ll learn to how to address common data management requirements within a microservices architecture. First, you’ll explore the challenges inherent in a distributed microservices architecture, where data may be distributed, or even duplicated and needs to be kept consistent during updates. Next, you’ll discover services in Azure that allow each microservice to choose the best data storage approach. Finally, you’ll learn how to keep data across microservices up to date, using eventual consistency. When you’re finished with this course, you’ll have the skills and knowledge to architect a data management strategy for your microservices solutions.

This course is no longer available. Find something similar by browsing:
Data Management Data Consistency Microservices .Net Core Eventual Consistency Azure Microsoft

What's inside

Syllabus

Course Overview
Data Management Architecture with Microservices
Data Management within Microservices
Data Consistency across Microservices
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops skills, knowledge, and tools that are core skills for microservices architecture design
Taught by Neil Morrissey, who are recognized for their work in microservices design
Teaches data management within microservices, which is essential for robust microservices architecture
Offers hands-on labs and interactive materials to reinforce learning
Builds a strong foundation for beginners in microservices data management

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Reviews summary

Data management for microservices in asp.net core

According to learners, this course offers a comprehensive and practical overview of data management strategies within a microservices architecture, specifically focusing on ASP.NET Core. Students found the explanations of complex topics like eventual consistency and distributed data challenges to be exceptionally clear. Many highlighted the instructor's deep expertise and ability to simplify difficult concepts, making the course valuable for experienced professionals. While the core principles are highly regarded, some recent feedback indicates a potential for outdated examples and older ASP.NET Core versions, which might warrant an update. Overall, it's considered a strong foundation for architects and developers seeking to navigate data complexities in distributed systems.
Course benefits those with existing ASP.NET Core & Azure experience.
"It assumes a pretty strong background in ASP.NET Core and Azure, which I didn't fully have."
"As an experienced architect, this course provided excellent validation and new insights."
"Too theoretical, not enough code. I came here for practical implementation, but it felt like a high-level overview."
Provides valuable insights directly applicable to real-world challenges.
"The eventual consistency section was particularly helpful and practical."
"This course directly addressed issues I face at work."
"I particularly appreciated the discussion on distributed transactions versus sagas."
Instructor excels at simplifying complex data management topics.
"Instructor explained complex topics clearly. Code examples were relevant. Highly recommended for architects."
"This course absolutely nails the complexities of data in microservices. The instructor's clear explanations and logical progression made challenging topics manageable."
"I found the explanations of complex topics like eventual consistency and distributed data challenges to be exceptionally clear."
Learners seek more interactive, hands-on coding exercises.
"Would have liked more hands-on labs with actual deployment."
"I'd love to see more practical exercises or a real-world case study extending through the whole course."
"Could use more practical examples and less theoretical discussion."
Some examples or versions may not reflect the latest industry standards.
"I think the course could benefit from an update to the latest ASP.NET Core versions, but the core principles remain valid."
"Outdated content. Some of the recommended patterns are no longer considered best practice, and the ASP.NET Core version used is old."
"Would be great if the instructor updated the content to use modern frameworks and practices."

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 a Data Management Strategy for an ASP.NET Core Microservices Architecture with these activities:
Follow the 'Building a Microservices Architecture with ASP.NET Core' Tutorial
This hands-on tutorial provides practical experience in building microservices with ASP.NET Core, reinforcing the concepts learned in the course.
Show steps
  • Set up the development environment and create a new ASP.NET Core project
  • Create separate microservices for different functionalities
  • Implement communication between microservices using HTTP or message queues
Read 'Microservices Patterns' By Chris Richardson
This book provides a thorough foundation in microservices architecture and design patterns, ensuring a solid understanding of the concepts covered in the course.
View Microservices Patterns: With examples in Java on Amazon
Show steps
  • Read Chapters 1-3: Introduction, Benefits, and Challenges
  • Read Chapters 4-6: Architectural Patterns, Communication Patterns, and Data Management Patterns
  • Complete the exercises and review questions at the end of each chapter
Write a White Paper on Data Management Strategies for Microservices
This deliverable encourages students to synthesize their knowledge and articulate best practices for data management in microservices, promoting critical thinking and communication skills.
Show steps
  • Research and gather information on data management strategies
  • Analyze and compare different approaches to data management in microservices
  • Formulate recommendations and best practices based on the research
One other activity
Expand to see all activities and additional details
Show all four activities
Solve Data Consistency and Replication Challenges in Microservices
These exercises challenge students to apply their understanding of data consistency and replication in microservices, solidifying their grasp of these concepts.
Browse courses on Data Consistency
Show steps
  • Analyze scenarios where data consistency is critical
  • Design solutions using techniques like eventual consistency or distributed transactions
  • Implement and test these solutions in a microservices environment

Career center

Learners who complete Implementing a Data Management Strategy for an ASP.NET Core Microservices Architecture will develop knowledge and skills that may be useful to these careers:
Business Systems Analyst
As a Business Systems Analyst, you'll be responsible for analyzing business processes and developing solutions to improve efficiency and effectiveness. This course, Implementing a Data Management Strategy for an ASP.NET Core Microservices Architecture, can help you build a foundation in data management, which is a critical skill for Business Systems Analysts. By understanding how to manage data in a distributed microservices architecture, you'll be better equipped to design and implement solutions that meet the needs of your business.
See salaries and explore the career path for Business Systems Analyst
Data Architect
Data Architects are responsible for designing and managing the data architecture of an organization. This includes developing data models, defining data standards, and ensuring the integrity and security of data. This course can be useful for Data Architects who are looking to learn more about data management in a microservices architecture. The course covers topics such as data consistency, data replication, and data partitioning, which are all important considerations for Data Architects.
See salaries and explore the career path for Data Architect
Database Administrator
Database Administrators are responsible for the day-to-day management of databases. This includes tasks such as creating and maintaining databases, backing up data, and restoring data in the event of a failure. This course can be useful for Database Administrators who are looking to learn more about managing databases in a microservices architecture. The course covers topics such as data replication, data partitioning, and data consistency, which are all important considerations for Database Administrators.
See salaries and explore the career path for Database Administrator
Data Analyst
Data Analysts are responsible for collecting, analyzing, and interpreting data to help businesses make informed decisions. This course can be useful for Data Analysts who are looking to learn more about data management in a microservices architecture. The course covers topics such as data consistency, data replication, and data partitioning, which are all important considerations for Data Analysts.
See salaries and explore the career path for Data Analyst
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. This course can be useful for Software Engineers who are looking to learn more about data management in a microservices architecture. The course covers topics such as data consistency, data replication, and data partitioning, which are all important considerations for Software Engineers.
See salaries and explore the career path for Software Engineer
Big Data Engineer
Big Data Engineers are responsible for designing and managing big data systems. This includes tasks such as collecting, processing, and storing large amounts of data. This course can be useful for Big Data Engineers who are looking to learn more about data management in a microservices architecture. The course covers topics such as data replication, data partitioning, and data consistency, which are all important considerations for Big Data Engineers.
See salaries and explore the career path for Big Data Engineer
Cloud Architect
Cloud Architects are responsible for designing and managing cloud computing solutions. This includes tasks such as selecting cloud services, designing cloud architectures, and migrating applications to the cloud. This course can be useful for Cloud Architects who are looking to learn more about data management in a microservices architecture. The course covers topics such as data replication, data partitioning, and data consistency, which are all important considerations for Cloud Architects.
See salaries and explore the career path for Cloud Architect
Information Architect
Information Architects are responsible for designing and managing the information architecture of an organization. This includes tasks such as developing taxonomies, creating metadata, and designing information systems. This course can be useful for Information Architects who are looking to learn more about data management in a microservices architecture. The course covers topics such as data consistency, data replication, and data partitioning, which are all important considerations for Information Architects.
See salaries and explore the career path for Information Architect
Data Scientist
Data Scientists are responsible for using data to solve business problems. This includes tasks such as developing machine learning models, analyzing data, and visualizing data. This course can be useful for Data Scientists who are looking to learn more about data management in a microservices architecture. The course covers topics such as data consistency, data replication, and data partitioning, which are all important considerations for Data Scientists.
See salaries and explore the career path for Data Scientist
Machine Learning Engineer
Machine Learning Engineers are responsible for designing and developing machine learning models. This includes tasks such as collecting data, training models, and evaluating models. This course can be useful for Machine Learning Engineers who are looking to learn more about data management in a microservices architecture. The course covers topics such as data consistency, data replication, and data partitioning, which are all important considerations for Machine Learning Engineers.
See salaries and explore the career path for Machine Learning Engineer
Quantitative Analyst
Quantitative Analysts are responsible for using mathematical and statistical models to analyze financial data. This includes tasks such as developing trading strategies, managing risk, and forecasting financial markets. This course can be useful for Quantitative Analysts who are looking to learn more about data management in a microservices architecture. The course covers topics such as data consistency, data replication, and data partitioning, which are all important considerations for Quantitative Analysts.
See salaries and explore the career path for Quantitative Analyst
Operations Research Analyst
Operations Research Analysts are responsible for using mathematical and statistical models to solve business problems. This includes tasks such as optimizing supply chains, scheduling resources, and designing transportation networks. This course can be useful for Operations Research Analysts who are looking to learn more about data management in a microservices architecture. The course covers topics such as data consistency, data replication, and data partitioning, which are all important considerations for Operations Research Analysts.
See salaries and explore the career path for Operations Research Analyst
Management Consultant
Management Consultants are responsible for helping businesses improve their performance. This includes tasks such as analyzing business processes, developing strategies, and implementing solutions. This course can be useful for Management Consultants who are looking to learn more about data management in a microservices architecture. The course covers topics such as data consistency, data replication, and data partitioning, which are all important considerations for Management Consultants.
See salaries and explore the career path for Management Consultant
Product Manager
Product Managers are responsible for managing the development and launch of new products. This includes tasks such as defining product requirements, conducting market research, and tracking product performance. This course can be useful for Product Managers who are looking to learn more about data management in a microservices architecture. The course covers topics such as data consistency, data replication, and data partitioning, which are all important considerations for Product Managers.
See salaries and explore the career path for Product Manager
Business Analyst
Business Analysts are responsible for analyzing business processes and developing solutions to improve efficiency and effectiveness. This includes tasks such as gathering requirements, creating process maps, and developing use cases. This course can be useful for Business Analysts who are looking to learn more about data management in a microservices architecture. The course covers topics such as data consistency, data replication, and data partitioning, which are all important considerations for Business Analysts.
See salaries and explore the career path for Business Analyst

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 Implementing a Data Management Strategy for an ASP.NET Core Microservices Architecture.
Cover image
Architecture Modernization
Save
Gives you a quick introduction to Domain-Driven Design so you can start applying it in your project. It's especially useful for beginners who wants to start
Architecture Modernization: Socio-technical...
Paperback
$$
Architecture Modernization: Socio-technical...
Kindle Edition
$$
Cover image
Building Event-Driven Microservices
Save
Provides an overview of event-driven architecture and how it can be used to implement microservices. It includes a chapter on data management, which discusses how to use events to keep data consistent across microservices.
Building Event-Driven Microservices
Paperback
Check
Building Event-Driven Microservices
Kindle Edition
Check
Cover image
Microservices Patterns
Save
Provides an overview of the different microservices patterns, including data management patterns. It good resource for understanding the architectural implications of data management in a microservices architecture.
Microservices Patterns: With examples in Java
Paperback
$$
Microservices Patterns: With examples in Java
Kindle Edition
$$
Cover image
Designing Data-Intensive Applications
Save
Offers a more in-depth exploration of data-intensive systems, providing a conceptual foundation for understanding the principles and patterns of data management in microservices.
Designing Data-Intensive Applications: The Big...
Paperback
$$
Designing Data-Intensive Applications: The Big...
Kindle Edition
$$
Cover image
Building Microservices
Save
Provides a comprehensive overview of microservices architecture, including a chapter on data management. It good resource for understanding the fundamentals of microservices architecture and how data management fits into the picture.
Building Microservices: Designing Fine-Grained...
Paperback
$$
Building Microservices: Designing Fine-Grained...
Paperback
$$
Building Microservices: Designing Fine-Grained...
Spiral-bound
$$$
Building Microservices
Kindle Edition
$$
Cover image
Docker Deep Dive
Save
Provides a practical guide to deploying microservices using Docker and Kubernetes. It includes a chapter on data management, which discusses how to use Docker and Kubernetes to manage data storage and replication.
Docker Deep Dive
Paperback
$$
Docker Deep Dive
Paperback
$$
Cover image
Data Mesh
Save
Introduces the concept of data mesh, an emerging paradigm for data management. It explores data management principles that align with the distributed nature of microservices.
Data Mesh
Paperback
Check
Data Mesh
Kindle Edition
Check
Cover image
NoSQL Distilled
Save
Provides a concise overview of NoSQL databases. It offers insights into the different types of NoSQL databases and their strengths and limitations. This knowledge can aid in selecting appropriate data storage options for microservices.
NoSQL Distilled: A Brief Guide to the Emerging...
Kindle Edition
$$
Cover image
Enterprise Integration Patterns
Save
Provides a comprehensive overview of enterprise integration patterns. It offers insights into how to implement messaging solutions for data exchange and communication between microservices.
Enterprise Integration Patterns: Designing,...
Hardcover
$$$
Enterprise Integration Patterns: Designing,...
Kindle Edition
$$$
Implementing Domain-driven Design
Save
Introduces the principles of domain-driven design. It provides techniques to model business logic and data effectively, which can be useful for designing microservices with well-defined data boundaries.
Implementing Domain-Driven Design
Hardcover
$$
Implementing Domain-Driven Design
Kindle Edition
$$

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Course image
Time
113 hours
Level
Intermediate
Via
Pluralsight
Instructor
Neil Morrissey
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Develops skills, knowledge, and tools that are core skills for microservices architecture design
Taught by Neil Morrissey, who are recognized for their work in microservices design
Teaches data management within microservices, which is essential for robust microservices architecture
Offers hands-on labs and interactive materials to reinforce learning
Builds a strong foundation for beginners in microservices data management
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