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

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.

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What's inside

Syllabus

Course Overview

Data Management Architecture with Microservices

Data Management within Microservices

Data Consistency across Microservices

Good to know

Know what's good

, what to watch for

, 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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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

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This hands-on tutorial provides practical experience in building microservices with ASP.NET Core, reinforcing the concepts learned in the course.

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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

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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

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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

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This deliverable encourages students to synthesize their knowledge and articulate best practices for data management in microservices, promoting critical thinking and communication skills.

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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

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Solve Data Consistency and Replication Challenges in Microservices

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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

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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 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

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

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

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

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

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

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

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

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

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

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

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

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

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.

Architecture Modernization

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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

Building Event-Driven Microservices

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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 price

Building Event-Driven Microservices

Kindle Edition

Check price

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

Designing Data-Intensive Applications

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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

Building Microservices

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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

Docker Deep Dive

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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.

Data Mesh

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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.

NoSQL Distilled

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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

Enterprise Integration Patterns

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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

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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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Time

113 hours

Level

Intermediate

Via

Pluralsight

Instructor

Neil Morrissey

Language

English

Good to know

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

Share and help others discover this course.

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