Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems John Elder Robison Jenkins reassesses conventional history in

Jenkins reassesses conventional history in a bold fashion

The active learner is at the center of the learning process

As you work your way through these reflections

Each of the groups is given a distinctive color to make it easy to identify

Get up the staircase

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems John Elder Robison Jenkins reassesses conventional history inData is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical