Practical Spring LDAP

Using Enterprise Java-Based LDAP in Spring Data and Spring Framework 6

Andres Sacco, Balaji Varanasi

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Naturwissenschaften, Medizin, Informatik, Technik / Programmiersprachen

Beschreibung

This revised edition is your practical, hands-on guide to developing Java-based enterprise applications with big data or batches of data using the Spring LDAP and the Spring Data LDAP frameworks. The book covers these popular Spring project modules and explains the purpose and fundamental concepts of LDAP before giving a comprehensive tour of the latest version of Spring LDAP and Spring Data LDAP as found in Spring Framework 6. 

The book provides a detailed treatment of LDAP controls and the new features of Spring LDAP such as Object Directory Mapping and LDIF parsing. LDAP has become the de facto standard for storing and accessing information in enterprises. Despite its widespread adoption, developers often struggle when it comes to using this technology effectively. The traditional Java LDAP and JNDI approaches have proven to be painful and have resulted in complex, less modular applications. The Spring LDAP framework provides an ideal alternative.

After reading and using this book, you'll come away with a level of comfort for working with large batches of data or big data in your enterprise Spring applications development.

What You'll Learn
  • Explore "What is Java LDAP?" and understand the Spring LDAP and Spring Data LDAP frameworks
  • Search LDAP resources
  • Sort and page your LDAP results
  • Dive into object directory mapping
  • Handle LDAP transactions and more
Who This Book Is For

Intermediate to advanced Java and Spring software developers; programmers with at least some prior experience in Java, especially the Spring Framework

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Schlagwörter

directory, protocol, access, Spring LDAP, big data, lightweight, Spring Data LDAP, LDAP, batch, programmer, Spring Data, Spring 6, Boot 3, Spring, source, developer, code