JNBridge Labs Connect
|Java side||.NET side|
|Visual Monitoring App||Document||Code|
Managing an Apache Hadoop cluster is restricted by the lack of direct API access to the Hadoop nodes themselves. Current monitoring and managing tools are limited to simple HTML, or are limited to just one implementation of Hadoop. This Lab shows you how to push or pull any information in or out of Hadoop that its APIs permit. It works with any implementation of Hadoop, and the application can run in the standard desktop environment of Windows and .NET. While this example uses Microsoft Visio, you can easily expand the example to use WPF or WinForms, or run on Linux with Mono.
HBase is a distributed, scalable, big data storage and retrieval system developed as part of the Apache Hadoop project. This explores building a simple .NET LINQ provider for HBase using the Java API for creating, managing and scanning HBase tables and the .NET LINQ provider interfaces. In addition, the project investigates LINQ support for HBase MapReduce jobs written in Java by adding an extension to the LINQ query syntax.
Hadoop allows businesses to quickly analyze very large data sets. Microsoft Excel is the ready-to-go front end for data analysis. This lab explorse a simple Excel front-end to HBase MapReduce, allowing you to view HBase tables and execute MapReduce jobs. The goal is to make the add-in generic with respect to the column definitions and data in a HBase table.
The Apache Hadoop framework enables distributed processing of very large data sets. Hadoop is written in Java, and has limited methods to integrate with mapreducers written in other languages. This lab demonstrates how you can use JNBridgePro to program directly against the Java-based Hadoop API to create .NET-based mapreducers.
Use SSH to enable BizTalk Server to manipulate remote files securely, in the cloud or on the ground.