We are happy to announce the general availability of CDH3 update 5. This update is a maintenance release of CDH3 platform and provides a considerable amount of bug-fixes and stability enhancements. Alongside these fixes, we have also included a few new features, most notable of which are the following:
- Apache Flume 1.2.0 – Provides a durable file channel and many more features over the previous release.
- Hive AvroSerDe – Replaces the Haivvreo SerDe and provides robust support for Avro data format.
Sqoop recently graduated from Apache Incubator to become a Top-Level Project. This post describes a brief history of Sqoop from its inception to becoming a TLP.
This blog was originally posted on the Apache Blog: https://blogs.apache.org/flume/entry/flume_ng_architecture
Apache Flume is a distributed, reliable, and available system for efficiently collecting, aggregating and moving large amounts of log data from many different sources to a centralized data store. Flume is currently undergoing incubation at The Apache Software Foundation. More information on this project can be found at http://incubator.apache.org/flume. Flume NG is work related to new major revision of Flume and is the subject of this post.
This post provides a high-level overview of Apache Sqoop (incubating). It discusses the general problem addressed by Sqoop and provides simple examples on how to use it. This post is written by Arvind Prabhakar, who is a Sqoop committer.
Hadoop has emerged as an indispensable component of any data-intensive enterprise infrastructure. In many ways, working with large datasets on a distributed computing platform (powered by commodity hardware or cloud infrastructure) has never been easier. But because customers are running clusters consisting of hundreds or thousands of nodes, and are processing massive quantities of data from production systems every hour, the logistics of efficient platform utilization can quickly become overwhelming.
To deal with this challenge,