Jesper Boeg on Priming Kanban
In this interview, Jesper Boeg, author of the new InfoQ book – Priming Kanban, discusses the keys to using Kanban effectively, and how to get started if you are currently using other approaches.
News
The content has been bookmarked!
There was an error bookmarking this content! Please retry.
Cloudera Seeks to Make Hadoop More Accessible With Packaged Distribution
Posted by Scott Delap on Mar 16, 2009
Numerous projects have sprouted up around the popular Hadoop open source implementation of map reduce in the last year. Now Cloudera is releasing Cloudera Distribution for Hadoop, an open source product seeking to make it easier for company's to begin using Hadoop. From the press release:
...The Cloudera Distribution for Hadoop is freely available for download and immediate use. The product is distributed as a pre-packaged RPM bundle for Red Hat Linux systems or an Amazon EC2 image. To make Hadoop easy to install and use, Cloudera is launching a new portal called my.cloudera.com where people can use a Web-based configuration tool to create custom packages that are optimized to their specific needs. Settings for the cluster can also be saved on the portal to enable automatic updates. There is no charge to use my.cloudera.com. The RPM packages and EC2 images are freely distributed under the Apache 2 software license...Cloudera is also making a pre-configured VMware image freely available for evaluation and use with their free online training (http://www.cloudera.com/hadoop-training). People that want to test the Cloudera Distribution for Hadoop or learn more about Hadoop and Cloudera’s online training can download the image and run it on their Linux, Mac or Windows desktop. The image ships with example code and all the components needed to use the Cloudera Distribution for Hadoop, including a master server and single node.
All forms of the distribution currently include:
- HDFS - Hadoop Distributed File System, a distributed and fault-tolerant file system designed to run on commodity hardware. HDFS assumes that hardware failure is normal and provides quick detection and automatic recovery.
MapReduce - divides up applications into many small blocks of work for automatic parallelization and execution on large clusters.
Hive - a data warehousing infrastructure built on top of Hadoop that provides tools for easy data summary generation, ad hoc querying, and analysis. Hive comes with HQL, a simple query language based on SQL.
More information can be found at www.cloudera.com/hadoop.
No comments
Watch Thread Reply