Apache HBase 0.90.5 is now available
From Jonathan Hsieh at Cloudera:
Apache HBase 0.90.5 is now available. This is release of the scalable distributed data store inspired by Google’s BigTable is a fix release that covers 81 issue, including 5 considered blockers, and 11 considered critical. This release addresses several robustness and resource leakage issues, fixes rare data-loss scenarios having to do with splits and replication, and improves the atomicity of bulk loads. This version includes some new supporting features including improvements to hbck and an offline meta-rebuild disaster recovery mechanism.
The 0.90.5 release is backward compatible with 0.90.4. Many of the fixes in this release will be included as part of CDH3u3.
I like the HBase page:
Welcome to Apache HBase!
HBase is the Hadoop database. Think of it as a distributed scalable Big Data store.
When Would I Use HBase?
Use HBase when you need random, realtime read/write access to your Big Data. This project’s goal is the hosting of very large tables — billions of rows X millions of columns — atop clusters of commodity hardware. HBase is an open-source, distributed, versioned, column-oriented store modeled after Google’s Bigtable: A Distributed Storage System for Structured by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.
Concise, to the point, either you are interested or you are not. Doesn’t waste time on hand wringing about “big data,” “oh, what shall we do?,” or parades of data horrors.
Do you think something similar for topic maps would need an application area approach? That is to focus on a particular problem deeply rather than all the possible uses of topic maps?