Changes between Version 3 and Version 4 of jazz/11-05-12


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Timestamp:
May 13, 2011, 12:28:26 AM (13 years ago)
Author:
jazz
Comment:

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  • jazz/11-05-12

    v3 v4  
    3636  * [http://www.youtube.com/watch?v=J9fSPwHT8o8 SnapReduce 的展示影片]
    3737  * [[Image(SnapReduce.png)]]
     38
     39 * HStack - http://hstack.org/ - 由 Adobe 的人弄的自由軟體專案
     40   * 整合 Hadoop + HBase + !ZooKeeper + Puppet
     41   * 程式碼 - https://github.com/hstack/puppet
     42   * [http://hstack.org/hbase-performance-testing HBase Performance Testing]
     43   * [[Image(http://hstack.org/wp-content/uploads/2010/04/gets_300_threads.png)]]
     44   * [[Image(http://hstack.org/wp-content/uploads/2010/04/gets_zoomed_300_threads.png)]]
     45
     46== Virtualization ==
     47
     48 * http://www.linux-kvm.org/page/Management_Tools - KVM 的管理介面
     49 * http://libvirt.org/apps.html - Applications using libvirt - 各種用 libvirt 做的應用,包含管理介面
     50
     51== libvirt & opennebula ==
     52
     53 * [[Image(http://opennebula.org/_media/documentation:rel1.4:arch.jpg)]]
     54 * [http://opennebula.org/documentation:archives:rel1.4:libvirtapi 從 OpenNebula 的 Libvirt API 1.4 文件] 可以看到兩者的關聯性。
     55
     56== Data Science ==
     57
     58 * [http://www.information-management.com/blogs/data_science_integration_statistics_databases-10020194-1.html Data Science – Part 1]
     59 * [http://www.information-management.com/blogs/data_science_BI_analytics_big_data_visualizations-10020259-1.html Data Science – Part 2]
     60 * [http://radar.oreilly.com/2010/06/what-is-data-science.html What is data science?] -
     61Analysis: The future belongs to the companies and people that turn data into products.
     62 * [http://tdwi.org/Articles/2011/01/05/Rise-of-Data-Science.aspx?p=1 The Rise of Data Science]
     63
     64== R packages & RHIPE & !BioConductor ==
     65
     66 * [http://cran.r-project.org/web/packages/bigmemory/ bigmemory]: Manage massive matrices with shared memory and memory-mapped files
     67   * 先前跑 microarray 的時候,容易遇到記憶體上限,這是一個解法。
     68   * http://www.bigmemory.org/
     69 
     70 * <官網> [http://www.stat.purdue.edu/~sguha/rhipe/ RHIPE - R and Hadoop Integrated Processing Environment]
     71 * [http://www.sdtimes.com/link/34792 RHIPE combines Hadoop and the R analytics language]
     72
     73 * [http://bioconductor.org/help/course-materials/2010/BioC2010/ BioC 2010] 有 !BioConductor 跟 R 的教學,特別是 Efficient R Programming 的部份。
     74
     75 * <書> [http://oreilly.com/catalog/9780596804787 Data Mashups in R]
     76 * <書> [http://flowingdata.com/book/ Visualize This: The FlowingData Guide to Design, Visualization, and Statistics]
     77
     78== reCAPTCHA & phpBB2 ==
     79
     80 * http://code.google.com/intl/zh-TW/apis/recaptcha/docs/phpbb.html