Java Ldap

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OpenLDAP 2.4.30 Publish Lightweight Directory Access Protocol LDAP implementation

OpenLDAP is a robust, business-class, full-featured and open source LDAP software suite. The kit is communicated, planned and developed by the global volunteer community through the Internet, and OpenLDAP software and its associated document management. OpenLDAP Software provides an open source Lightweight directory Http://www.aliyun.com/zixun/aggregation/34570.html "> Access Protocol full LDAP implementation, including servers, clients, C SDK ...

Accessplatform v2.2.1 Publishing compliant Java Data Persistence framework

DataNucleus Access Platform is a compatible standard Java data Persistence Framework, fully compatible with JDO1, JDO2, JDO2.1, JDO2.2, JDO2.3, and JPA1 Java standards. Provides a REST based API. It allows access to all common database servers, including LDAP, Neodatis, JSON, Http://www.aliyun.com/zix ...

DataNucleus Access Platform v2.2.2 Publish compliant Java persistence engines

DataNucleus Access platform is a standard Java persistence engine. It fully conforms to the jdo1,jdo2,jdo2.1 and JPA1 Java standards. In addition it also follows the OGC Simple element specification (Simplicity Feature http://www.aliyun.com/zixun/aggregation/29909.html "> Specification) for the persistence of geospatial data types ...

DataNucleus Accessplatform 3.0.0 Official release of the Java Persistence framework

DataNucleus Access Platform is a Java component that provides Java data persistence and management platforms, data, and service interfaces for JDO, JPA, and the web. DataNucleus Access Platform is a compatible standard Java data Persistence Framework, fully compatible with JDO1, JDO2, JDO2.1, JDO2.2, JDO2.3, and JPA1 Java standards. Provides an RES based ...

DataNucleus accessplatform 3.0.8 Publishing Java Persistence framework

DataNucleus Access Platform is a Java component that provides Java data persistence and management platforms, data, and service interfaces for JDO, JPA, and the web. DataNucleus Access Platform is a compatible standard Java data Persistence framework that complies fully with Java standards such as JDO1, JDO2, JDO2.1, JDO2.2, JDO2.3, and JPA1. Provide a based RE ...

XWiki 3.3 Milestone 1 releases the Open source Java wiki engine

XWiki is an open-source wiki engine written in Java. With most features of other wikis, support wiki syntax, http://www.aliyun.com/zixun/aggregation/8254.html "> Content management, supporting attachments, Full-text search, rights Management, Use hibernate for data storage, RSS output and display external RSS feeds. XWiki also supports groovy scripting language, plug-in systems, Java EE ...

10 powerful Apache open source modules

Apache is a very efficient WEB server, and is still the world's most popular Web server software first. The power of Apache is that we can develop many modules for it and configure it accordingly to make our Apache server more personal. 1, single sign-on module LemonLDAP LemonLdap can be a great Apache SSO function, and can handle ...

12 technical pain points for Hadoop

Chapter author Andrew C. Oliver is a professional software advisor and president and founder of the Open Software re-programme of North Carolina State Dalem data consulting firm.   Using Hadoop for a long time, he found that 12 things really affected the ease of use of Hadoop. Hadoop is a magical creation, but it develops too quickly and shows some flaws. I love elephants and elephants love me. But there is nothing perfect in this world, sometimes even good friends ...

These 12 things make me hate Hadoop.

Hadoop is a magical creation, but it develops too quickly and shows some flaws. I love elephants and elephants love me. But there is nothing perfect in this world, and sometimes even good friends clash. Just like the struggle between me and Hadoop. Here are 12 pain points I've listed. 1. Pig vs. Hive You can't use Hive UDFS in Pig. In the Pig ...

Using hive to build a database to prepare for the big data age

Storing them is a good choice when you need to work with a lot of data. An incredible discovery or future prediction will not come from unused data. Big data is a complex monster. Writing complex MapReduce programs in the Java programming language takes a lot of time, good resources and expertise, which is what most businesses don't have.   This is why building a database with tools such as Hive on Hadoop can be a powerful solution. Peter J Jamack is a ...

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