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Relational model

The relational model represents data as relations of tuples and attributes, governed by schemas and constraints and manipulated through relational operations.

How 2 Manning books explain it

Java Persistence with Spring Data and Hibernate epub

The relational data model represents information as relations consisting of tuples and attributes with defined integrity constraints.

How it is used
Provides a shared, integrity-preserving foundation for representing business entities and persisting application data.
How deep it goes
Explains integrity, independence, SQL operations, and JDBC access, but stops short of relational execution internals.
Examples
Uses DDL, DML, DQL, DCL, joins, aggregation, subselects, and JDBC result-set processing as concrete applications.
What you can do after
Apply it via SQL and JDBC while recognizing when object-persistence frameworks or alternative consistency models are appropriate.

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Functional Design and Architecture: Examples in Haskell

A data model that represents information as relations, typically implemented as tables whose structure is defined by a relational schema.

How it is used
Positions relational models as database representations that persist domain information and connect application code with relational storage.
How deep it goes
Defines tables, schemas, references, and implementation trade-offs, but stops short of detailed relational algebra or query construction.
Examples
Uses table schemas, database-subsystem layers, Haskell SQL connectors, beam, Selda, Esqueleto, and Higher-Kinded Data.
What you can do after
Evaluate relational-model designs and choose among SQL connectors, mapping layers, and schema representations while recognizing coupling costs.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.