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In todays ever-evolving world, fast and efficient data management is becoming ever more important. With the explosion of digital data and diverse data sources, selecting the right database type, whether it’s traditional relational, NoSQL, or emerging options like NewSQL, has become pivotal. This also leads us to the next challenge for us, how do we integrate with this? Do we use JPA/JOOQ/… ? Where/how do we map our data? What is a polyglot setup, and should we be using it?
Luckily all these topics, and so many more are covered in the magnificent new book “Persistence Best Practices for Java Applications” by Otàvio Santana and Karina Varela
About the book
price: €27.99 for the eBook
publication date: August 2023
publisher: Packt
pages: 202
ISBN: 9781837631278
Content
The book itself consist of 3 overarching sections:
Persistence in cloud computing
a brief history of persistence, and involved trade-offs with distributed/cloud systems
the different flavours of databases: relational, NoSQL (and it’s subvariants) & NewSQL
possible architectures and strategies, including implications & pitfalls
persistence layer design patterns & mapping strategies (or lack thereof)
Jakarta EE, MicroProfile, modern persistence technologies & their trade-offs
Jakarta EE and JPA: what’s the state, what can be achieve with Quarkus & Panache, and performance considerations
NoSQL: what do we need to keep in mind, what can we achieve with JNoSQL, and what are the pros/cons of the different variants
JOOQ: what is it, and why should I consider using it?
in-memory persistence: use cases, and what is the object-relational impedance mismatch
Architectural considerations
Polyglot setups: what are the (dis)advantages?
architecting distributed systems: what are some anti-patterns and fallacies, and how to resolve them
modernization strategies & data integration: anti-patterns & bad practices to avoid, change data capture, cloud technologies & offerings
the power of documentation, data-domain testing and the importance of proper architecture
My thoughts
I can heartily recommend this book, it offers a lot of valuable insights into persistence in Cloud computing, the involved technologies, and technical and architectural considerations by two developers with years of experience.
The matter is not only approached from a theoretical viewpoint, but also includes a lot of practical information alongside a lot of code examples in the GitHub repository.
Furthermore, it’s delightful to see a book that takes JNoSQL and JOOQ into proper consideration, especially given their rising popularity.
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