本套课程出自网易云微专业大数据工程师官网售价1399元,本微专业由世界顶级行业专家主持,国际学术出版商Wiley开发,面向全球化需求。通过学习,您将帮助掌握大数据技术必备技能和核心技术,包括工具选择,存储、编程、处理和管理数据架构等。
课程7.08G课程表和下载地址在文章底部
课程特色
内容专业有保障、内容全面完全匹配初入职/转行需求、注重实践更强调实际操作的动手能力。
适用岗位
1、大数据平台研发工程师
2、数据挖掘工程师
3、商业数据分析Data Miner
4、大数据研发工程师( Hadoop )
5、大数据工程师
6、大数据开发数据挖掘/数据分析…
7、数据挖掘(项目经理)
8、大数据研发
课程目录:大数据工程师 [7.1G]
┣━━1.大数据基础 [29.5M]
┃ ┣━━0.课程介绍 [604.9K]
┃ ┃ ┣━━课程简介与课程大纲.pdf [221.4K]
┃ ┃ ┣━━评价方式介绍.pdf [149.1K]
┃ ┃ ┗━━章节实验介绍.pdf [234.3K]
┃ ┣━━1.大数据基础(上) [5.8M]
┃ ┃ ┣━━Module 1 Session 1.pdf [1.7M]
┃ ┃ ┣━━Module 1 Session 2.pdf [2.7M]
┃ ┃ ┣━━Module 1 Session 3.pdf [1.3M]
┃ ┃ ┗━━Wiley大数据1章第2节Kazusa.docx [14.2K]
┃ ┣━━2.大数据基础(下) [8.3M]
┃ ┃ ┣━━Module 1 Session 4.pdf [1.6M]
┃ ┃ ┣━━Module 1 Session 5.pdf [1.7M]
┃ ┃ ┣━━WCBDD_Module 1_Session 4.pdf [1.4M]
┃ ┃ ┣━━WCBDD_Module 1_Session 5.pdf [1.3M]
┃ ┃ ┣━━Wiley大数据二章1节_Kazusa.docx [714.3K]
┃ ┃ ┣━━Wiley大数据二章1节_Kazusa.pdf [642.6K]
┃ ┃ ┣━━Wiley大数据二章2节_Kazusa.docx [397.1K]
┃ ┃ ┗━━Wiley大数据二章2节_Kazusa.pdf [658.8K]
┃ ┣━━3.管理大数据生态系统(上) [10.2M]
┃ ┃ ┣━━Module 2 Session 1.pdf [1.5M]
┃ ┃ ┣━━Module 2 Session 2.pdf [1.7M]
┃ ┃ ┣━━Module 2 Session 3.pdf [1.3M]
┃ ┃ ┣━━WCBDD_Module2_Session 1.pdf [2.5M]
┃ ┃ ┣━━WCBDD_Module2_Session 2.pdf [1.5M]
┃ ┃ ┣━━WCBDD_Module2_Session 3.pdf [1.4M]
┃ ┃ ┣━━Wiley大数据三章1节_Kazusa.docx [128K]
┃ ┃ ┣━━Wiley大数据三章2节_Kazusa.docx [50K]
┃ ┃ ┗━━Wiley大数据三章3节_Kazusa.docx [136K]
┃ ┣━━4.管理大数据生态系统(下) [4.6M]
┃ ┃ ┣━━Module 2 Session 4.pdf [1.5M]
┃ ┃ ┣━━Module 2 Session 5.pdf [1.4M]
┃ ┃ ┣━━WCBDD_Week 2_Session 4.pdf [1M]
┃ ┃ ┣━━WCBDD_Week 2_Session 5.pdf [698.1K]
┃ ┃ ┣━━Wiley大数据四章1节_Kazusa.docx [15K]
┃ ┃ ┗━━Wiley大数据四章2节_Kazusa.docx [15K]
┃ ┗━━Wiley大数据_X章X节云课堂昵称.docx [12.6K]
┣━━3.大数据实践(下) [703.8M]
┃ ┣━━0.课程介绍 [447.7K]
┃ ┃ ┣━━课程简介与课程大纲.pdf [180.5K]
┃ ┃ ┣━━评价方式介绍.pdf [85.3K]
┃ ┃ ┗━━章节实验介绍.pdf [181.9K]
┃ ┣━━1.其它 Hadoop 工具:ZooKeeper、Sqoop、Flume、YARN 和 Storm [161.1M]
┃ ┃ ┣━━1.用zookeeper调度分布式处理 [8.4M]
┃ ┃ ┃ ┣━━1.用zookeeper调度分布式处理.zip [6M]
┃ ┃ ┃ ┣━━WCBDD_W5_S1_PPT.pdf [1.5M]
┃ ┃ ┃ ┗━━WCBDD_Week 5_Session 3.pdf [973.9K]
┃ ┃ ┣━━2.用sqoop高效传输大量数据 [39.5M]
┃ ┃ ┃ ┣━━2.用sqoop高效传输大量数据.zip [36.7M]
┃ ┃ ┃ ┣━━WCBDD_W5_S2_PPT.pdf [1.7M]
┃ ┃ ┃ ┗━━WCBDD_Week 5_Session 4.pdf [1020.6K]
┃ ┃ ┣━━3.flume [43.5M]
┃ ┃ ┃ ┣━━3.flume.zip [41M]
┃ ┃ ┃ ┣━━WCBDD_W5_S3_PPT.pdf [1.5M]
┃ ┃ ┃ ┗━━WCBDD_Week 5_Session 5.pdf [993.3K]
┃ ┃ ┣━━4.超越MapReduce——YARN [10M]
┃ ┃ ┃ ┣━━1,.超越MapReduce——YARN.zip [7.6M]
┃ ┃ ┃ ┣━━WCBDD_W5_S4_PPT.pdf [1.6M]
┃ ┃ ┃ ┗━━WCBDD_Week 5_Session 6.pdf [938K]
┃ ┃ ┣━━5.在YARN上使用Storm [56.2M]
┃ ┃ ┃ ┣━━5.在YARN上使用Storm.zip [53.7M]
┃ ┃ ┃ ┣━━WCBDD_W5_S5_PPT.pdf [1.6M]
┃ ┃ ┃ ┗━━WCBDD_Week 5_Session 7.pdf [924.4K]
┃ ┃ ┣━━Wiley大数据1章1节_kazusa.docx [625K]
┃ ┃ ┣━━Wiley大数据_1章2节_kazusa.docx [677.2K]
┃ ┃ ┣━━Wiley大数据_1章3节_kazusa.docx [550.3K]
┃ ┃ ┣━━Wiley大数据_1章4节_kazusa.docx [907.8K]
┃ ┃ ┗━━Wiley大数据_1章5节_kazusa.docx [725.6K]
┃ ┣━━2.使用NoSQL和Hadoop:实时、安全和云(上) [122.1M]
┃ ┃ ┣━━1.Hello NoSQL [67.7M]
┃ ┃ ┃ ┣━━1.Hello NoSQL.zip [64.7M]
┃ ┃ ┃ ┣━━WCBDD_W6_S1_PPT+修改.pdf [1.6M]
┃ ┃ ┃ ┗━━WCBDD_Week 6_Session 1.pdf [1.5M]
┃ ┃ ┣━━2.使用NoSQL [53.3M]
┃ ┃ ┃ ┣━━2.使用NoSQL.zip [50.7M]
┃ ┃ ┃ ┣━━WCBDD_W6_S2_PPT翻译+修改.pdf [1.7M]
┃ ┃ ┃ ┗━━WCBDD_Week 6_Session 2.pdf [884.3K]
┃ ┃ ┣━━Wiley大数据第二章第1节_kazusa.docx [677.7K]
┃ ┃ ┗━━Wiley大数据第二章第2节kazusa.docx [422K]
┃ ┣━━3.使用NoSQL和Hadoop:实时、安全和云(下) [155.8M]
┃ ┃ ┣━━1.Hadoop安全 [94M]
┃ ┃ ┃ ┣━━1.Hadoop安全.zip [91M]
┃ ┃ ┃ ┣━━WCBDD_W6_S3_PPT.pdf [1.6M]
┃ ┃ ┃ ┗━━WCBDD_Week 6_Session 3.pdf [1.4M]
┃ ┃ ┣━━2.在AWS运行Hadoop应用 [45.7M]
┃ ┃ ┃ ┣━━1.在AWS运行Hadoop应用.zip [39.9M]
┃ ┃ ┃ ┣━━WCBDD_W6_S4_PPT.pdf [2.7M]
┃ ┃ ┃ ┗━━WCBDD_Week 6_Session 4.pdf [3.1M]
┃ ┃ ┣━━3.实时Hadoop [15.4M]
┃ ┃ ┃ ┣━━1.实时Hadoop.zip [12.5M]
┃ ┃ ┃ ┣━━WCBDD_W6_S5_PPT.pdf [1.7M]
┃ ┃ ┃ ┗━━WCBDD_Week 6_Session 5.pdf [1.2M]
┃ ┃ ┗━━Wiley大数据第三章第1节kazusa.docx [692.8K]
┃ ┣━━4.商用Hadoop分布与管理工具(上) [127.7M]
┃ ┃ ┣━━1.Cloudera基础与Cloudera管理 [44.8M]
┃ ┃ ┃ ┣━━1.Cloudera基础与Cloudera管理.zip [41.9M]
┃ ┃ ┃ ┣━━WCBDD_W7_S1_PPT翻译.pdf [1.3M]
┃ ┃ ┃ ┗━━WCBDD_Week 7_Session 1.pdf [1.6M]
┃ ┃ ┣━━2.在Cloudera上使用Hive与Cloudera管理 [2.3M]
┃ ┃ ┃ ┣━━WCBDD_W7_S2_PPT_翻译.pdf [1.5M]
┃ ┃ ┃ ┗━━WCBDD_Week 7_Session 2.pdf [814.6K]
┃ ┃ ┗━━3.Hortonworks与Greenplum Pivotal HD [80.6M]
┃ ┃ ┣━━1.Hortonworks与Greenplum Pivotal HD.zip [77.6M]
┃ ┃ ┣━━WCBDD_W7_S3_PPT_翻译.pdf [1.5M]
┃ ┃ ┗━━WCBDD_Week 7_Session 3.pdf [1.4M]
┃ ┣━━5.商用Hadoop分布与管理工具(下) [90.4M]
┃ ┃ ┣━━1.IBM InfoSphere BigInsights和MapR [75M]
┃ ┃ ┃ ┣━━1.IBM InfoSphere BigInsights和MapR.zip [71.1M]
┃ ┃ ┃ ┣━━WCBDD_W7_S4_PPT_翻译.pdf [1.9M]
┃ ┃ ┃ ┗━━WCBDD_Week 7_Session 4.pdf [2M]
┃ ┃ ┗━━2.就业指导 [15.3M]
┃ ┃ ┣━━译文-WCBDD_Module7_Session5.pdf [13.8M]
┃ ┃ ┣━━WCBDD_W7_S5_PPT_翻译.pdf [1014.7K]
┃ ┃ ┗━━WCBDD_Week 7_Session 5.pdf [578.6K]
┃ ┗━━6.毕业项目 [46.4M]
┃ ┣━━译文-WCBDD+Project.pdf [39.1M]
┃ ┣━━note [5.8K]
┃ ┣━━WCBDD+Project+翻译.pdf [981.5K]
┃ ┣━━Wiley大数据毕业项目_kazusa.docx [3.5M]
┃ ┗━━Wiley大数据毕业项目kazusa.pdf [2.9M]
┣━━完成配置虚拟机 [4G]
┃ ┣━━big_data_virtualmachine_64-bit.part01.rar [1G]
┃ ┣━━big_data_virtualmachine_64-bit.part02.rar [1G]
┃ ┣━━big_data_virtualmachine_64-bit.part03.rar [1G]
┃ ┣━━big_data_virtualmachine_64-bit.part04.rar [1G]
┃ ┗━━big_data_virtualmachine_64-bit.part05.rar [40.9M]
┣━━WCBDD VIRTUAL LABS [1.3G]
┃ ┣━━Additional Datasets [820.6K]
┃ ┃ ┣━━Age_Address_data.txt [1.3K]
┃ ┃ ┣━━Cust.txt [12.1K]
┃ ┃ ┣━━employee [53B]
┃ ┃ ┣━━sample.txt [806.9K]
┃ ┃ ┣━━student [75B]
┃ ┃ ┣━━studenttab10k [58B]
┃ ┃ ┣━━studtab [60B]
┃ ┃ ┗━━user [29B]
┃ ┣━━WCBDD Project [710.6M]
┃ ┃ ┣━━weblog [697.8M]
┃ ┃ ┃ ┣━━.settings [780B]
┃ ┃ ┃ ┃ ┣━━.jsdtscope [642B]
┃ ┃ ┃ ┃ ┣━━org.eclipse.php.core.prefs [83B]
┃ ┃ ┃ ┃ ┣━━org.eclipse.wst.jsdt.ui.superType.container [49B]
┃ ┃ ┃ ┃ ┗━━org.eclipse.wst.jsdt.ui.superType.name [6B] ┃ ┃ ┃ ┣━━anoceanofsky [391.8K]
┃ ┃ ┃ ┃ ┣━━150.jpg [11.2K]
┃ ┃ ┃ ┃ ┣━━350.jpg [45.2K]
┃ ┃ ┃ ┃ ┣━━anoceanofsky.css [2.6K]
┃ ┃ ┃ ┃ ┣━━anoceanofsky.jpg [99.8K]
┃ ┃ ┃ ┃ ┣━━background.png [469B]
┃ ┃ ┃ ┃ ┣━━content_back.png [294B]
┃ ┃ ┃ ┃ ┣━━footer.png [332B]
┃ ┃ ┃ ┃ ┣━━screenshot.jpg [220.7K]
┃ ┃ ┃ ┃ ┣━━spacer.gif [43B]
┃ ┃ ┃ ┃ ┣━━tab.png [274B]
┃ ┃ ┃ ┃ ┗━━Thumbs.db [11K]
┃ ┃ ┃ ┣━━charts [2.5K]
┃ ┃ ┃ ┃ ┣━━fc_col.php [686B]
┃ ┃ ┃ ┃ ┣━━fc_mcol.php [1.2K]
┃ ┃ ┃ ┃ ┗━━fc_pie.php~ [688B]
┃ ┃ ┃ ┣━━document [4.7M]
┃ ┃ ┃ ┃ ┣━━page.doc [4.7M]
┃ ┃ ┃ ┃ ┣━━pig_command.txt [3.2K]
┃ ┃ ┃ ┃ ┗━━pig_command.txt~ [3.2K]
┃ ┃ ┃ ┣━━fusioncharts [970.3K]
┃ ┃ ┃ ┃ ┣━━flash [574.9K]
┃ ┃ ┃ ┃ ┃ ┣━━Column3D.swf [68.5K]
┃ ┃ ┃ ┃ ┃ ┣━━FCExporter.swf [24.1K]
┃ ┃ ┃ ┃ ┃ ┣━━Line.swf [69K]
┃ ┃ ┃ ┃ ┃ ┣━━MSColumn3D.swf [79.6K]
┃ ┃ ┃ ┃ ┃ ┣━━MSCombiDY2D.swf [86.6K]
┃ ┃ ┃ ┃ ┃ ┣━━MSLine.swf [80.2K]
┃ ┃ ┃ ┃ ┃ ┣━━Pie3D.swf [79.7K]
┃ ┃ ┃ ┃ ┃ ┗━━ScrollColumn2D.swf [87.1K]
┃ ┃ ┃ ┃ ┣━━js [371.6K]
┃ ┃ ┃ ┃ ┃ ┣━━FlashSecuritySetup.sh [150B]
┃ ┃ ┃ ┃ ┃ ┣━━FusionCharts.HC.js [288K]
┃ ┃ ┃ ┃ ┃ ┣━━FusionCharts.jqueryplugin.js [3.6K]
┃ ┃ ┃ ┃ ┃ ┗━━FusionCharts.js [79.9K]
┃ ┃ ┃ ┃ ┗━━FusionCharts.php [23.9K]
┃ ┃ ┃ ┣━━images [1.1M]
┃ ┃ ┃ ┃ ┣━━images [1.1M]
┃ ┃ ┃ ┃ ┃ ┣━━3d_pie_chart.jpg [71.6K]
┃ ┃ ┃ ┃ ┃ ┣━━34837graph-screen.gif [21.7K]
┃ ┃ ┃ ┃ ┃ ┣━━bg_01.png [12.4K]
┃ ┃ ┃ ┃ ┃ ┣━━bg_02.png [6.5K]
┃ ┃ ┃ ┃ ┃ ┣━━bg_03.png [39.4K]
┃ ┃ ┃ ┃ ┃ ┣━━bg_04.png [34.9K]
┃ ┃ ┃ ┃ ┃ ┣━━bg_05.png [36.4K]
┃ ┃ ┃ ┃ ┃ ┣━━bg_06.png [36.3K]
┃ ┃ ┃ ┃ ┃ ┣━━bg_07.png [15.7K]
┃ ┃ ┃ ┃ ┃ ┣━━bg_08.png [46.2K]
┃ ┃ ┃ ┃ ┃ ┣━━bg_09.png [47.2K]
┃ ┃ ┃ ┃ ┃ ┣━━bg_10.jpg [38K]
┃ ┃ ┃ ┃ ┃ ┣━━big-data.jpg [306.5K]
┃ ┃ ┃ ┃ ┃ ┣━━hadoop.png [105.8K]
┃ ┃ ┃ ┃ ┃ ┣━━images.jpeg [4.2K]
┃ ┃ ┃ ┃ ┃ ┣━━MapReduce-diagram.png [65K]
┃ ┃ ┃ ┃ ┃ ┣━━Pie-chart-icon.png [11.5K]
┃ ┃ ┃ ┃ ┃ ┣━━pr1.jpg [163.3K]
┃ ┃ ┃ ┃ ┃ ┣━━stock-vector-presentation-template-with-four-colored-text-box-business-vector-121128583.jpg [36.4K]
┃ ┃ ┃ ┃ ┃ ┗━━stock-vector-vector-sphere-presentation-template-with-eight-elements-and-a-place-in-center-for-title-95801920.jpg [43.7K]
┃ ┃ ┃ ┃ ┣━━cell-blue.jpg [2.3K]
┃ ┃ ┃ ┃ ┗━━cell-grey.jpg [2.3K]
┃ ┃ ┃ ┣━━inc [31.1K]
┃ ┃ ┃ ┃ ┣━━common.php [17.1K]
┃ ┃ ┃ ┃ ┣━━conn_hive.php [556B]
┃ ┃ ┃ ┃ ┣━━functions.inc.php [12.8K]
┃ ┃ ┃ ┃ ┣━━headerhtml.inc.php [401B]
┃ ┃ ┃ ┃ ┗━━hive_func.php [338B]
┃ ┃ ┃ ┣━━include [2.5K]
┃ ┃ ┃ ┃ ┣━━conn.php [840B]
┃ ┃ ┃ ┃ ┣━━conn.php~ [857B]
┃ ┃ ┃ ┃ ┣━━headerhtml.inc.php [391B]
┃ ┃ ┃ ┃ ┗━━odbc_functions.php [465B]
┃ ┃ ┃ ┣━━thrift [3.3M]
┃ ┃ ┃ ┃ ┣━━.settings [86B]
┃ ┃ ┃ ┃ ┃ ┗━━org.eclipse.php.core.prefs [86B]
┃ ┃ ┃ ┃ ┣━━src [3.3M]
┃ ┃ ┃ ┃ ┃ ┣━━ext [2.2M]
┃ ┃ ┃ ┃ ┃ ┃ ┗━━thrift_protocol [2.2M]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━autom4te.cache [493.4K]
┃ ┃ ┃ ┃ ┃ ┃ ┃ ┣━━output.0 [456.9K]
┃ ┃ ┃ ┃ ┃ ┃ ┃ ┣━━requests [2.8K]
┃ ┃ ┃ ┃ ┃ ┃ ┃ ┗━━traces.0 [33.7K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━build [291.5K]
┃ ┃ ┃ ┃ ┃ ┃ ┃ ┣━━libtool.m4 [224.9K]
┃ ┃ ┃ ┃ ┃ ┃ ┃ ┣━━mkdep.awk [2.2K]
┃ ┃ ┃ ┃ ┃ ┃ ┃ ┣━━scan_makefile_in.awk [410B]
┃ ┃ ┃ ┃ ┃ ┃ ┃ ┗━━shtool [63.9K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━acinclude.m4 [74.2K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━aclocal.m4 [299.1K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━config.guess [43.8K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━config.h [1.7K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━config.h.in [1.6K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━config.log [22.9K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━config.m4 [628B]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━config.nice [212B]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━config.status [21K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━config.sub [32.6K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━configure [455.7K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━configure.in [4.5K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━libtool [215K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━ltmain.sh [195K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━Makefile [7.8K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━Makefile.global [5.4K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━Makefile.objects [799B]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━php_thrift_protocol.cpp [30.9K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━php_thrift_protocol.h [1K]
┃ ┃ ┃ ┃ ┃ ┃ ┗━━run-tests.php [67.6K]
┃ ┃ ┃ ┃ ┃ ┣━━packages [1M]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━fb303 [62.2K]
┃ ┃ ┃ ┃ ┃ ┃ ┃ ┣━━FacebookService.php [61.6K]
┃ ┃ ┃ ┃ ┃ ┃ ┃ ┗━━fb303_types.php [617B]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━Hbase [305.5K]
┃ ┃ ┃ ┃ ┃ ┃ ┃ ┣━━Hbase_types.php [26.8K]
┃ ┃ ┃ ┃ ┃ ┃ ┃ ┗━━Hbase.php [278.7K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━hive_metastore [556.5K]
┃ ┃ ┃ ┃ ┃ ┃ ┃ ┣━━hive_metastore_constants.php [1.5K]
┃ ┃ ┃ ┃ ┃ ┃ ┃ ┣━━hive_metastore_types.php [107.3K]
┃ ┃ ┃ ┃ ┃ ┃ ┃ ┗━━ThriftHiveMetastore.php [447.8K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━hive_service [54.6K]
┃ ┃ ┃ ┃ ┃ ┃ ┃ ┣━━hive_service_types.php [8.2K]
┃ ┃ ┃ ┃ ┃ ┃ ┃ ┗━━ThriftHive.php [46.4K]
┃ ┃ ┃ ┃ ┃ ┃ ┣━━queryplan [48.1K]
┃ ┃ ┃ ┃ ┃ ┃ ┃ ┗━━queryplan_types.php [48.1K]
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┃ ┃ ┃ ┃ ┃ ┣━━autoload.php [1.9K]
┃ ┃ ┃ ┃ ┃ ┗━━Thrift.php [22.3K]
┃ ┃ ┃ ┃ ┣━━.buildpath [174B]
┃ ┃ ┃ ┃ ┣━━.project [516B]
┃ ┃ ┃ ┃ ┣━━Hbase.thrift [19.5K]
┃ ┃ ┃ ┃ ┗━━HBaseDemoClient.php [7.1K]
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┃ ┃ ┃ ┣━━anto.php [653B]
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┃ ┃ ┃ ┣━━copy.php [6.1K]
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┃ ┃ ┃ ┣━━front.php~ [980B]
┃ ┃ ┃ ┣━━index.html [1.3K]
┃ ┃ ┃ ┣━━index.html~ [1.3K]
┃ ┃ ┃ ┣━━L2_2011_raw_data.csv [687.2M]
┃ ┃ ┃ ┣━━linecount.php [2K]
┃ ┃ ┃ ┣━━linecount.php~ [2K]
┃ ┃ ┃ ┣━━mapreduce.html [966B]
┃ ┃ ┃ ┣━━mapreduce.html~ [966B]
┃ ┃ ┃ ┣━━mongodb.php [2K]
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┃ ┃ ┃ ┣━━mysql1.php [6.1K]
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┃ ┃ ┃ ┣━━new.php [20B]
┃ ┃ ┃ ┣━━page.php [6.1K]
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┃ ┃ ┃ ┣━━pig.php [2.4K]
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┃ ┃ ┃ ┣━━test.php [776B]
┃ ┃ ┃ ┗━━test.php~ [774B]
┃ ┃ ┗━━WCBDD Project.pdf [12.8M]
┃ ┣━━Week 1 [2.9M]
┃ ┃ ┣━━Session 2 [592.7K]
┃ ┃ ┃ ┗━━WCBDD_W1_Session 2_Lab.pdf [592.7K]
┃ ┃ ┣━━Session 4 [1.2M]
┃ ┃ ┃ ┣━━W1 Session 4_Code Scripts for Labs.txt [3.9K]
┃ ┃ ┃ ┗━━WCBDD_W1_Session 4_Lab.pdf [1.2M]
┃ ┃ ┗━━Session 5 [1.1M]
┃ ┃ ┣━━W1_ Session 5_Code Scripts for Labs.txt [629B]
┃ ┃ ┗━━WCBDD_W1_Session 5_Lab.pdf [1.1M]
┃ ┣━━Week 2 [5.2M]
┃ ┃ ┣━━Session 1 [916.9K]
┃ ┃ ┃ ┣━━W2_ Session 1_Code Scripts for Labs.txt [1.8K]
┃ ┃ ┃ ┗━━WCBDD_W2_Session 1_Lab.pdf [915.2K]
┃ ┃ ┣━━Session 2 [1.3M]
┃ ┃ ┃ ┣━━W2_ Session 2_Code Scripts for Labs.txt [1.5K]
┃ ┃ ┃ ┗━━WCBDD_W2_Session 2_Lab.pdf [1.3M]
┃ ┃ ┣━━Session 3 [1.3M]
┃ ┃ ┃ ┣━━W2_ Session 3_Code Scripts for Labs.txt [768B]
┃ ┃ ┃ ┣━━W2_ Session 3_Code Scripts for Labs.txt~ [751B]
┃ ┃ ┃ ┗━━WCBDD_W2_Session 3_Lab.pdf [1.3M]
┃ ┃ ┣━━Session 4 [828.8K]
┃ ┃ ┃ ┣━━W2_ Session 4_Code Scripts for Labs.txt [740B]
┃ ┃ ┃ ┣━━W2_ Session 4_Code Scripts for Labs.txt~ [716B]
┃ ┃ ┃ ┗━━WCBDD_W2_Session 4_Lab.pdf [827.4K]
┃ ┃ ┗━━Session 5 [918.1K]
┃ ┃ ┣━━W2_ Session 5_Code Scripts for Labs.txt [1.3K]
┃ ┃ ┗━━WCBDD_W2_Session 5_Lab.pdf [916.8K]
┃ ┣━━Week 3 [281.2M]
┃ ┃ ┣━━Session 1 [784.8K]
┃ ┃ ┃ ┣━━W3_ Session 1_Code Scripts for Labs.txt [732B]
┃ ┃ ┃ ┗━━WCBDD_W3_Session 1_Lab.pdf [784.1K]
┃ ┃ ┣━━Session 2 [274M]
┃ ┃ ┃ ┣━━Datasets [270.8M]
┃ ┃ ┃ ┃ ┣━━loaddata1 [270M]
┃ ┃ ┃ ┃ ┗━━weather.txt [867.4K]
┃ ┃ ┃ ┣━━W3_ Session 2_Code Scripts for Labs.txt [7.9K]
┃ ┃ ┃ ┗━━WCBDD_W3_Session 2_Lab.pdf [3.2M]
┃ ┃ ┣━━Session 3 [4.2M]
┃ ┃ ┃ ┣━━Datasets [462K]
┃ ┃ ┃ ┃ ┣━━dictionary.txt [458.9K]
┃ ┃ ┃ ┃ ┗━━sorting.txt [3K]
┃ ┃ ┃ ┣━━W3_ Session 3_Code Scripts for Labs.txt [13.5K]
┃ ┃ ┃ ┗━━WCBDD_W3_Session 3_Lab.pdf [3.7M]
┃ ┃ ┣━━Session 4 [694.9K]
┃ ┃ ┃ ┣━━W3_ Session 4_Code Scripts for Labs.txt [4.5K]
┃ ┃ ┃ ┗━━WCBDD_W3_Session 4_Lab.pdf [690.4K]
┃ ┃ ┗━━Session 5 [1.6M]
┃ ┃ ┣━━Datasets [6.5K]
┃ ┃ ┃ ┗━━wordcount [6.5K]
┃ ┃ ┣━━W3_ Session 5_Code Scripts for Labs.txt [3.8K]
┃ ┃ ┗━━WCBDD_W3_Session 5_Lab.pdf [1.6M]
┃ ┣━━Week 4 [6.1M]
┃ ┃ ┣━━Session 1 [1.5M]
┃ ┃ ┃ ┣━━Datasets [96.9K]
┃ ┃ ┃ ┃ ┣━━sample1.txt [2.4K]
┃ ┃ ┃ ┃ ┣━━uk_data.txt [28.5K]
┃ ┃ ┃ ┃ ┗━━us_data.txt [66.1K]
┃ ┃ ┃ ┣━━W4_ Session 1_Code Scripts for Labs.txt [3.5K]
┃ ┃ ┃ ┗━━WCBDD_W4_Session 1_Lab.pdf [1.4M]
┃ ┃ ┣━━Session 2 [1.3M]
┃ ┃ ┃ ┣━━Datasets [435B]
┃ ┃ ┃ ┃ ┗━━sample.txt [435B]
┃ ┃ ┃ ┣━━W4_ Session 2_Code Scripts for Labs.txt [10.5K]
┃ ┃ ┃ ┗━━WCBDD_W4_Session 2_Lab.pdf [1.3M]
┃ ┃ ┣━━Session 3 [604.6K]
┃ ┃ ┃ ┣━━Datasets [571B]
┃ ┃ ┃ ┃ ┗━━temperature [571B]
┃ ┃ ┃ ┣━━W4_ Session 3_Code Scripts for Labs.txt [1.6K]
┃ ┃ ┃ ┗━━WCBDD_W4_Session 3_Lab.pdf [602.4K]
┃ ┃ ┣━━Session 4 [1.8M]
┃ ┃ ┃ ┣━━W4_ Session 4_Code Scripts for Labs.txt [2K]
┃ ┃ ┃ ┗━━WCBDD_W4_Session 4_Lab.pdf [1.8M]
┃ ┃ ┗━━Session 5 [1007.2K]
┃ ┃ ┣━━W4_ Session 5_Code Scripts for Labs.txt [2.6K]
┃ ┃ ┗━━WCBDD_W4_Session 5_Lab.pdf [1004.6K]
┃ ┣━━Week 5 [7.5M]
┃ ┃ ┣━━Session 1 [1000K]
┃ ┃ ┃ ┣━━W5_ Session 1_Code Scripts for Labs.txt [1.4K]
┃ ┃ ┃ ┣━━W5_Session 1_Code Scripts for Labs.txt~ [1.6K]
┃ ┃ ┃ ┗━━WCBDD_W5_Session 1_Lab.pdf [997K]
┃ ┃ ┣━━Session 2 [2.3M]
┃ ┃ ┃ ┣━━W5_ Session 2_Code Scripts for Labs.txt~ [2.9K]
┃ ┃ ┃ ┣━━W5_Session 2_Code Scripts for Labs.txt [1.6K]
┃ ┃ ┃ ┗━━WCBDD_W5_Session 2_Lab.pdf [2.3M]
┃ ┃ ┣━━Session 3 [1.1M]
┃ ┃ ┃ ┣━━Datasets [1.6K]
┃ ┃ ┃ ┃ ┗━━avro_data.txt [1.6K]
┃ ┃ ┃ ┣━━W5_ Session 3_Code Scripts for Labs.txt [2.9K]
┃ ┃ ┃ ┣━━W5_ Session 3_Code Scripts for Labs.txt~ [1.4K]
┃ ┃ ┃ ┗━━WCBDD_W5_Session 3_Lab.pdf [1.1M]
┃ ┃ ┣━━Session 4 [1.9M]
┃ ┃ ┃ ┣━━W5_ Session 4_Code Scripts for Labs.txt [1.8K]
┃ ┃ ┃ ┣━━W5_ Session 4_Code Scripts for Labs.txt~ [1.8K]
┃ ┃ ┃ ┗━━WCBDD_W5_Session 4_Lab.pdf [1.9M]
┃ ┃ ┗━━Session 5 [1.3M]
┃ ┃ ┗━━WCBDD_W5_Session 5_Lab.pdf [1.3M]
┃ ┗━━Week 6 [292.9M]
┃ ┣━━Session 1 [2.3M]
┃ ┃ ┣━━Datasets [187.8K]
┃ ┃ ┃ ┗━━lines.csv [187.8K]
┃ ┃ ┣━━W6_ Session 1_Code Scripts for Labs.txt [5.2K]
┃ ┃ ┗━━WCBDD_W6_Session 1_Lab.pdf [2.1M]
┃ ┣━━Session 2 [288.8M]
┃ ┃ ┣━━Datasets [287.4M]
┃ ┃ ┃ ┗━━L2_2011_1.tsv [287.4M]
┃ ┃ ┣━━W6_ Session 2_Code Scripts for Labs.txt [2.3K]
┃ ┃ ┗━━WCBDD_W6_Session 2_Lab.pdf [1.4M]
┃ ┗━━Session 5 [1.7M]
┃ ┣━━Datasets [11.5K]
┃ ┃ ┣━━loaddata1 [6.5K]
┃ ┃ ┗━━webcount [5K]
┃ ┣━━W6_ Session 5_Code Scripts for Labs.txt [9.1K]
┃ ┗━━WCBDD_W6_Session 5_Lab.pdf [1.7M]
┣━━2.大数据实践(上) [1010.7M]
┃ ┣━━0.课程介绍 [419.9K]
┃ ┃ ┣━━课程简介与课程大纲.pdf [165.7K]
┃ ┃ ┣━━评价方式介绍.pdf [83.6K]
┃ ┃ ┗━━章节实验介绍.pdf [170.6K]
┃ ┣━━1.数据的保存和处理(上) [175.3M]
┃ ┃ ┣━━《开发MapReduce程序》数据文件.rar [44.8M]
┃ ┃ ┣━━1.数据的保存和处理(上).zip [122M]
┃ ┃ ┣━━WCBDD_W3_S1_PPT修改后.pdf [995K]
┃ ┃ ┣━━WCBDD_W3_S2_PPT修改后.pdf [1.4M]
┃ ┃ ┣━━WCBDD_Week 3_Session 1.pdf [1.7M]
┃ ┃ ┣━━WCBDD_Week 3_Session 2.pdf [1.2M]
┃ ┃ ┣━━Wiley大数据1章1节_Kazusa.docx [244.6K]
┃ ┃ ┣━━Wiley大数据1章1节_Kazusa.pdf [338K]
┃ ┃ ┣━━Wiley大数据1章2节_Kazusa.docx [1.4M]
┃ ┃ ┗━━Wiley大数据1章2节_Kazusa.pdf [1.2M]
┃ ┣━━2.数据的保存和处理(下) [237.5M]
┃ ┃ ┣━━1.个性化设置MapReduce执行 [112.5M]
┃ ┃ ┃ ┣━━1.个性化设置MapReduce执行.zip [109.8M]
┃ ┃ ┃ ┣━━WCBDD_W3_S3_PPT修改后.pdf [1.5M]
┃ ┃ ┃ ┗━━WCBDD_Week 3_Session 3.pdf [1.1M]
┃ ┃ ┣━━2.测试和调试MapReduce程序 [116.9M]
┃ ┃ ┃ ┣━━2.测试和调试MapReduce程序.zip [114M]
┃ ┃ ┃ ┣━━dictionary+sorting.rar [151.4K]
┃ ┃ ┃ ┣━━WCBDD_W3_S4_PPT.pdf [1.4M]
┃ ┃ ┃ ┗━━WCBDD_Week 3_Session 4.pdf [1.3M]
┃ ┃ ┣━━3.实现MapReduce WordCount程序 –案例研究 [6.5M]
┃ ┃ ┃ ┣━━译文 WCBDD_Module3_Session5-案例研究-小.pdf [1.9M]
┃ ┃ ┃ ┣━━WCBDD_W3_S5_PPT.pdf [1.5M]
┃ ┃ ┃ ┗━━WCBDD_Week 3_Session 5.pdf [3.1M]
┃ ┃ ┣━━Wiley大数据_2章2节1_Kazusa.docx [937.1K]
┃ ┃ ┣━━Wiley大数据_2章2节2_Kazusa.docx [315.2K]
┃ ┃ ┗━━Wiley大数据_2章2节3_Kazusa.docx [381.5K]
┃ ┣━━3.用Hive、Pig和 Oozie提高效率(上) [386.7M]
┃ ┃ ┣━━1.探索Hive [111.2M]
┃ ┃ ┃ ┣━━1.探索Hive.zip [108.3M]
┃ ┃ ┃ ┣━━WCBDD_W4_S1_PPT.pdf [1.4M]
┃ ┃ ┃ ┗━━WCBDD_Week 4_Session 1.pdf [1.5M]
┃ ┃ ┣━━2.Hive高级查询 [272M]
┃ ┃ ┃ ┣━━2.Hive高级查询.zip [269.8M]
┃ ┃ ┃ ┣━━WCBDD_W4_S2_PPT.pdf [1.3M]
┃ ┃ ┃ ┗━━WCBDD_Week 4_Session 2.pdf [961.5K]
┃ ┃ ┣━━《使用Hive编写MapReduce程序》实验数据.rar [423B]
┃ ┃ ┣━━《熟悉Hive》实验数据.rar [40.3K]
┃ ┃ ┣━━Wiley大数据_3章1节_Kazusa.docx [1.3M]
┃ ┃ ┣━━Wiley大数据_3章1节_Kazusa.pdf [1.6M]
┃ ┃ ┣━━Wiley大数据_3章2节_Kazusa.docx [257.6K]
┃ ┃ ┗━━Wiley大数据_3章2节_Kazusa.pdf [344.8K]
┃ ┗━━4.用Hive、Pig和 Oozie提高效率(下) [210.9M]
┃ ┣━━1.用Pig分析数据 [139.1M]
┃ ┃ ┣━━1.用Pig分析数据.zip [136.1M]
┃ ┃ ┣━━WCBDD_Module4_Session3.pdf [1.4M]
┃ ┃ ┗━━WCBDD_W4_S3_PPT.pdf [1.6M]
┃ ┣━━2.用Oozie做自动数据处理 [24.3M]
┃ ┃ ┣━━2.用Oozie做自动数据处理.zip [20.6M]
┃ ┃ ┣━━WCBDD_Module4_Session4.pdf [2.4M]
┃ ┃ ┗━━WCBDD_W4_S4_PPT.pdf [1.3M]
┃ ┣━━3.使用 Oozie [43.9M]
┃ ┃ ┣━━使用 Oozie.zip [41M]
┃ ┃ ┣━━WCBDD_Module4_Session5.pdf [1.5M]
┃ ┃ ┗━━WCBDD_W4_S5_PPT.pdf [1.4M]
┃ ┣━━Wiley大数据_4章1节_Kazusa.docx [274.5K]
┃ ┣━━Wiley大数据_4章1节_Kazusa.pdf [358K]
┃ ┣━━Wiley大数据_4章2节_Kazusa.docx [968.1K]
┃ ┣━━Wiley大数据_4章2节_Kazusa.pdf [1.3M]
┃ ┣━━Wiley大数据_4章3节_Kazusa.docx [312.4K]
┃ ┗━━Wiley大数据_4章3节_Kazusa.pdf [310.1K]
┣━━大数据工程师微专业 Wiley 网易云课堂.png [1.8M]
┣━━apache-maven-3.0.5-bin.zip [5.6M]
┣━━apache-mrunit-1.1.0-hadoop1-src.tar.gz [94.2K]
┣━━Hadoop权威指南(中文版)(带书签).pdf [40.4M]
┣━━httpd-2.2.31.tar.gz [7.2M]
┣━━JavaProgram.tar.gz [13.1M]
┣━━jdo2-api-2.3-ec.jar [193.9K]
┣━━jdo2-api-2.3-ec.jar.txt [186B]
┣━━junit-4.10.jar [247.2K]
┣━━mockito-all-1.8.5.jar [1.4M]
┣━━mrunit-0.9.0-incubating-hadoop1.jar [81.9K]
┗━━mrunit-1.1.0-hadoop2.jar [134.3K]
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