Building High-Throughput Data Microservices
Building High-Throughput Data Microservices is a course on building scalable, efficient microservices that can handle large amounts of data, published by LinkedIn Online Academy. Building High-Throughput Data Microservices is a specialized course designed to help developers build scalable, efficient microservices that can handle large amounts of data. The course covers the fundamental concepts of microservices architecture, explores tools and frameworks for high-throughput systems, and discusses best practices for designing resilient, fault-tolerant services.In this course, instructor Gregory Green covers the essential skills you need to meet today’s growing data needs with high-performance, scalable, and high-throughput architectures. Throughout the course, Gregory provides examples with RabbitMQ, Postgres, MySQL, Spring, and Apache Kafka, and provides tips with practical demonstrations on how to design and implement successful, high-throughput data microservices. By the end of the course, participants will be equipped to build robust microservices that seamlessly scale with growing data demands.

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What You'll Master in this Course
Course Curriculum27 Lectures
7 sections • 1.9 hours total length
Requirements
- Basic enthusiasm to learn and follow along with lessons
- A computer or mobile device with a modern internet connection
Description
Instructor
Senior Industry Specialist
Specialist in Software Engineering & Algorithms
Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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