Designing Data-Intensive Applications
Ranked #1 in Big Data, Ranked #1 in Databases — see more rankings.
Many forces affect software today: larger datasets, geographical disparities, complex company structures, and the growing need to be fast and nimble in the face of change.
Proven approaches such as service-oriented and event-driven architectures are joined by newer techniques such as microservices, reactive architectures, DevOps, and stream processing. Many of these patterns are successful by themselves, but as this practical ebook demonstrates, they provide a more holistic and compelling approach when applied together.
Author Ben Stopford explains how service-based... more
Proven approaches such as service-oriented and event-driven architectures are joined by newer techniques such as microservices, reactive architectures, DevOps, and stream processing. Many of these patterns are successful by themselves, but as this practical ebook demonstrates, they provide a more holistic and compelling approach when applied together.
Author Ben Stopford explains how service-based... more
Rankings by Category
Designing Data-Intensive Applications is ranked in the following categories:
- #63 in Computer
- #20 in Computer Science
- #36 in Data Science
- #42 in Devops
- #36 in Engineering
- #19 in IT
- #38 in Information Technology
- #44 in Jobs
- #2 in MySQL
- #27 in Programming
- #34 in Ruby
- #10 in Scala
- #3 in Software Architecture
- #14 in Software Engineering
- #19 in Software Testing
- #2 in System Design
- #17 in Tech
- #14 in Technical
- #82 in Web Design
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