= 2010-11-24 =

== Hadoop & GPFS ==

 * [http://www.enterprisestorageforum.com/technology/news/article.php/3913996/IBM-Builds-on-Hadoop-with-New-Storage-Architecture.htm IBM Builds on Hadoop with New Storage Architecture] - IBM 讓 GPFS 可以跟 HDFS 合作，提供更高可用度的儲存服務。稱之為『General Parallel File System-Shared Nothing Cluster (GPFS-SNC)』
 * [http://www.zdnet.com.tw/news/hardware/0,2000085676,20148269,00.htm IBM發表新儲存架構 GPFS-SNC]

== Public Large Data Set 公用大型資料集 ==

 * 維基百科 - http://en.wikipedia.org/wiki/Wikipedia:Database_download
 * 亞馬遜提供的公用資料 - http://aws.amazon.com/publicdatasets/
   * 包括基因資料(Genome, Ex. 1000 Genome Project)
 * http://www.statmt.org/europarl/
 * http://www.opendatacenteralliance.org/
 * [http://www.data.gov/raw/92 Data.gov] - 美國公部門的資料 - 台灣應該可以上 [http://www.archives.gov.tw/ 檔案管理局] ([wiki:jazz/10-11-08 2010-11-08])
 * http://ckan.org/
 * http://stat-computing.org/dataexpo/2009/ - 飛航紀錄 - 1987-2008 years of airlines performance data. 1GB, 12M records.
 * http://kdd.ics.uci.edu/ - UCI Knowledge Discovery in Databases Archive - The data sets are categorized neatly. These are very useful for many machine-learning exercises with the use of Hadoop/Mahout.
 * A list of about 70 data sets compiled for Open Data Day: http://www.opendataday.org/wiki/Data
 * A list of 70 datasets from technology review: https://www.technologyreview.com/blog/arxiv/26097/
 * Stanford large network database collection: http://snap.stanford.edu/data/index.html
 * Digging into data dataset list: http://www.diggingintodata.org/Repositories/tabid/167/Default.aspx
 * Many Eyes from IBM: http://www-958.ibm.com/software/data/cognos/manyeyes/
 * Data360: http://www.data360.org/index.aspx
 * UN Data Explorer: http://data.un.org/Explorer.aspx
 * OECD Data Sets: http://stats.oecd.org/index.aspx
 * Freebase data dumps: http://wiki.freebase.com/wiki/Data_dumps