Building a Java application around data is not a one-database decision. In Java Persistence with NoSQL, software architect and engineer Otávio Santana explores how Java teams can work with different NoSQL models and bring them into enterprise application design. The emphasis is on connecting database concepts with the patterns and frameworks developers use to build and maintain real systems.
From NoSQL fundamentals to Java persistence
The book begins with NoSQL concepts, comparisons among database options, and considerations for running them in production. It then turns to Java principles, persistence design patterns, and the architecture of the persistence layer—useful context for thinking through how application structure and data choices fit together.
Jakarta EE, MicroProfile, and database integrations
Later chapters explore Jakarta EE and MicroProfile, including validation, CDI, and REST with JAX-RS. The integration-focused material covers Redis, Cassandra, MongoDB, Neo4j, ArangoDB, and Couchbase, giving readers a tour across several approaches to persistence in Java applications.
Architecture with operational concerns in view
Choosing and integrating a database is only part of the work. Santana also addresses enterprise architecture and production considerations, including security, high availability, and fault tolerance. The result is a guide that places NoSQL integration within the broader task of designing dependable Java systems.
Who may find this guide useful
Java developers, software architects, and engineers exploring NoSQL in the Java ecosystem will find coverage that ranges from foundational comparisons to named database integrations. The mix of theory, examples, and exercises provides several ways to engage with the subject, whether reviewing persistence patterns or investigating a particular database technology.
For readers planning Java systems that use more than one kind of data store, this book offers a focused look at the concepts, frameworks, and architectural choices involved.
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