Showing posts with label Hadoop. Show all posts
Showing posts with label Hadoop. Show all posts
Saturday, May 19, 2012
Ambrose - Monitoring of MapReduce data
Twitter announced it's project "Ambrose" is available as open source.
It's a platform for visualization and real-time monitoring of MapReduce data workflows. It presents a global view of all the map-reduce jobs derived from your workflow after planning and optimization. As jobs are submitted for execution on your Hadoop cluster, Ambrose updates its visualization to reflect the latest job status, polled from your process.
Repository for source code/contribute.
Sunday, February 26, 2012
Scala/Hadoop - Scoobi
Scoobi is a Scala productivity framework for Hadoop. Its a Scala library that focuses on making you more productive at building Hadoop applications. It stands on the functional programming shoulders of Scala and allows you to just write what you want rather than how to do it.
Scoobi is a library that leverages the Scala programming language to provide a programmer friendly abstraction around Hadoop's MapReduce to facilitate rapid development of analytics and machine-learning algorithms.
Quick start,download and more information available here.
Labels:
Hadoop,
MapReduce,
Scala,
Scala Framework,
Scoobi
Hadoop - Crunch
It's a Java library for writing, testing, and running MapReduce pipelines, based on Google's FlumeJava. Its goal is to make pipelines that are composed of many user-defined functions simple to write, easy to test, and efficient to run.
For more information and download here.
For more information and download here.
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