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Implementing a Data Management Strategy for an ASP.NET Core Microservices Architecture
Neil Morrissey
Neil Morrissey
This course will teach you how to address common data management tasks in a microservices architecture.
Read more
This course will teach you how to address common data management tasks in a microservices architecture.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/r2i2vy/implementing
What's inside
Syllabus
Course Overview
Data Management Architecture with Microservices
Data Management within Microservices
Data Consistency across Microservices
Read more
Syllabus
Course Overview
Data Management Architecture with Microservices
Data Management within Microservices
Data Consistency across Microservices
Read more
Good to know
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
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Implementing a Data Management Strategy for an ASP.NET Core Microservices Architecture.
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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
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.
Data Scientist
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.
Machine Learning Engineer
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.
Business Analyst
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.
Operations Research 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.
Data Architect
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.
Software Engineer
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.
Data Analyst
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.
Database Administrator
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.
Product Manager
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.
Cloud Architect
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.
Quantitative Analyst
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.
Information 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.
Management Consultant
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.
Big Data 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.
For more career information including salaries, visit:
OpenCourser.com/course/r2i2vy/implementing
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.
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
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.
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.
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.
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.
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.
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.
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.
Provides a comprehensive overview of enterprise integration patterns. It offers insights into how to implement messaging solutions for data exchange and communication between microservices.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/r2i2vy/implementing
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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
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