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High – Performance Java Persistence – eBook

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Original price was: $34.00.Current price is: $6.00.

Unlock your potential with the High – Performance Java Persistence – eBook course for only Original price was: $34.00.Current price is: $6.00. at WSOLib.com! Discover our vast library of over 60,000 downloadable digital courses across Business and Sales. Get expert-guided, self-paced learning and save over 80% compared to retail prices. Transform your skills today!

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Vlad Mihalcea - High-Performance Java Persistence - Relationships Module

High – Performance Java Persistence – eBook

A high-performance data access layer must resonate with the underlying database system. Knowing the inner workings of a relational database and the data access frameworks in use can make the difference between a high-performance enterprise application and one that barely crawls.

This video course explains how database table relationships can be mapped to entities when using JPA and Hibernate. Since not all JPA relationships are efficient, this video course will show you what associations to use and which ones to avoid.

Created By

Vlad Mihalcea

Vlad Mihalcea

Vlad Mihalcea is a Java Champion and one of the top Hibernate ORM project committers. He created the Hypersistence Optimizer tool which scans your application configuration and mappings and tells you what changes you need to do to speed up your data access layer.

He’s been answering thousands of questions about Hibernate and JPA on StackOverflow for which he’s got gold badges for Hibernate, Java, and JPA tags.

Whenever he finds something interesting, he likes to share it on his personal blog. He believes in Open Source Software, and he thinks every developer should get involved, one way or the other.

If he doesn’t find a suitable tool for a job, he takes initiative and starts a new open source project, like Hibernate Types or FlexyPool.

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Course Curriculum

High-Performance Java Persistence – Relationships Module
Relationships

JPA and Hibernate Relationships (8:54)

Equals and Hashcode (7:47)

ManyToOne and OneToMany (13:24)

OneToOne (12:34)

ManyToMany (9:28)


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