首页 磁力链接怎么用

Udemy - Learn Hadoop, MapReduce and BigData from Scratch

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2017-1-23 15:29 2024-12-28 16:45 177 2.77 GB 73
二维码链接
Udemy - Learn Hadoop, MapReduce and BigData from Scratch的二维码
种子下载(838888不存储任何种子文件)
种子下载线路1(迅雷)--推荐
种子下载线路2(比特彗星)
种子下载线路3(torcache)
3条线路均为国内外知名下载网站种子链接,内容跟本站无关!
文件列表
  1. 04 Mapreduce Version 1/004 Jobs definition, Job configuration, submission, execution and monitoring Part -B.mp436.01MB
  2. 04 Mapreduce Version 1/005 Jobs definition, Job configuration, submission, execution and monitoring Part -C.mp466.34MB
  3. 04 Mapreduce Version 1/006 Hadoop Data Types, Paths, FileSystem, Splitters, Readers and Writers Part A.mp428.05MB
  4. 04 Mapreduce Version 1/003 Jobs definition, Job configuration, submission, execution and monitoring Part -A.mp433.24MB
  5. 04 Mapreduce Version 1/002 MapReduce Concepts in detail Part - B.mp436.4MB
  6. 02 Hadoop Architecture/012 Running Multi node clusters on Amazons EMR Part - E.mp449.46MB
  7. 04 Mapreduce Version 1/001 MapReduce Concepts in detail Part - A.mp439.02MB
  8. 04 Mapreduce Version 1/007 Hadoop Data Types, Paths, FileSystem, Splitters, Readers and Writers Part B.mp431.49MB
  9. 04 Mapreduce Version 1/008 Hadoop Data Types, Paths, FileSystem, Splitters, Readers and Writers Part C.mp470.95MB
  10. 08 Mapreduce Version 2/002 Apache Hadoop 2 and YARN Part - B.mp426.68MB
  11. 08 Mapreduce Version 2/003 Yarn Examples.mp452.88MB
  12. 08 Mapreduce Version 2/001 Apache Hadoop 2 and YARN Part - A.mp434.5MB
  13. 04 Mapreduce Version 1/012 The UDF class, Definition, User Defined Functions Part - B.mp442.42MB
  14. 04 Mapreduce Version 1/009 The ETL class, Definition, Extract, Transform, and Load Part - A.mp454.11MB
  15. 04 Mapreduce Version 1/010 The ETL class, Definition, Extract, Transform, and Load Part - B.mp470.04MB
  16. 02 Hadoop Architecture/011 Running Multi node clusters on Amazons EMR Part - D.mp419.62MB
  17. 04 Mapreduce Version 1/011 The UDF class, Definition, User Defined Functions Part - A.mp433.85MB
  18. 02 Hadoop Architecture/006 NameNode, Secondary Name Node, Data Nodes Part - A.mp430.39MB
  19. 02 Hadoop Architecture/007 NameNode, Secondary Name Node, Data Nodes Part - B.mp425.96MB
  20. 02 Hadoop Architecture/008 Running Multi node clusters on Amazons EMR Part - A.mp429.63MB
  21. 02 Hadoop Architecture/005 Clusters and Nodes, Hadoop Cluster Part - B.mp437.61MB
  22. 02 Hadoop Architecture/003 Set up a single Node Hadoop pseudo cluster Part - c.mp439.33MB
  23. 02 Hadoop Architecture/010 Running Multi node clusters on Amazons EMR Part - C.mp442.27MB
  24. 02 Hadoop Architecture/001 Set up a single Node Hadoop pseudo cluster Part - A.mp436.93MB
  25. 02 Hadoop Architecture/002 Set up a single Node Hadoop pseudo cluster Part - B.mp445.12MB
  26. 02 Hadoop Architecture/009 Running Multi node clusters on Amazons EMR Part - B.mp430.95MB
  27. 02 Hadoop Architecture/004 Clusters and Nodes, Hadoop Cluster Part - A.mp426.58MB
  28. 07 The Hadoop Ecosystem/003 Introduction to Avro.mp455.56MB
  29. 07 The Hadoop Ecosystem/004 Introduction to Mahout Part - A.mp438.3MB
  30. 07 The Hadoop Ecosystem/006 Introduction to Mahout Part - C.mp466.44MB
  31. 07 The Hadoop Ecosystem/005 Introduction to Mahout Part - B.mp451.85MB
  32. 07 The Hadoop Ecosystem/002 Introduction to Crunch Part - B.mp446.94MB
  33. 07 The Hadoop Ecosystem/001 Introduction to Crunch Part - A.mp442.93MB
  34. 09 Putting it all together/004 Amazon EMR example Part - D.mp437.95MB
  35. 09 Putting it all together/008 Apache Bigtop example Part - D.mp439.3MB
  36. 09 Putting it all together/007 Apache Bigtop example Part - C.mp446.95MB
  37. 09 Putting it all together/006 Apache Bigtop example Part - B.mp442.82MB
  38. 09 Putting it all together/005 Apache Bigtop example Part - A.mp440.84MB
  39. 09 Putting it all together/009 Apache Bigtop example Part - E.mp438.45MB
  40. 09 Putting it all together/002 Amazon EMR example Part - B.mp432MB
  41. 09 Putting it all together/003 Amazon EMR example Part - C.mp434.5MB
  42. 09 Putting it all together/010 Apache Bigtop example Part - F.mp452.61MB
  43. 09 Putting it all together/001 Amazon EMR example Part - A.mp439.5MB
  44. 09 Putting it all together/011 Course Summary.mp47.59MB
  45. 01 Introduction to Big Data/003 Why Hadoop, Big Data and Map Reduce Part - B.mp427.43MB
  46. 01 Introduction to Big Data/004 Why Hadoop, Big Data and Map Reduce Part - C.mp438.7MB
  47. 01 Introduction to Big Data/002 Why Hadoop, Big Data and Map Reduce Part - A.mp424.64MB
  48. 01 Introduction to Big Data/005 Architecture of Clusters.mp450.65MB
  49. 03 Distributed file systems/004 Run hadoop on Hortonworks Sandbox.mp432.55MB
  50. 03 Distributed file systems/003 Run hadoop on Cloudera, Web Administration.mp444.46MB
  51. 03 Distributed file systems/002 Hdfs vs Gfs a comparison - Part B.mp413.79MB
  52. 03 Distributed file systems/001 Hdfs vs Gfs a comparison - Part A.mp437.09MB
  53. 03 Distributed file systems/005 File system operations with the HDFS shell Part - A.mp424.06MB
  54. 03 Distributed file systems/006 File system operations with the HDFS shell Part - B.mp436.11MB
  55. 01 Introduction to Big Data/006 Virtual Machine VM, Provisioning a VM with vagrant and puppet.mp440.64MB
  56. 03 Distributed file systems/008 Advanced hadoop development with Apache Bigtop Part - B.mp420.72MB
  57. 03 Distributed file systems/007 Advanced hadoop development with Apache Bigtop Part - A.mp452.62MB
  58. 01 Introduction to Big Data/001 Introduction to the Course.mp49.3MB
  59. 05 Mapreduce with Hive Data warehousing/007 Example Hive ETL class Part - A.mp445.3MB
  60. 05 Mapreduce with Hive Data warehousing/005 Hive Query Patterns Part - B.mp443.1MB
  61. 05 Mapreduce with Hive Data warehousing/006 Hive Query Patterns Part - C.mp448.09MB
  62. 05 Mapreduce with Hive Data warehousing/004 Hive Query Patterns Part - A.mp435.95MB
  63. 05 Mapreduce with Hive Data warehousing/003 Hive Configuration.mp451.07MB
  64. 05 Mapreduce with Hive Data warehousing/001 Schema design for a Data warehouse Part - A.mp443.42MB
  65. 05 Mapreduce with Hive Data warehousing/002 Schema design for a Data warehouse Part - B.mp436.89MB
  66. 05 Mapreduce with Hive Data warehousing/008 Example Hive ETL class Part - B.mp461.21MB
  67. 06 Mapreduce with Pig Parallel processing/001 Introduction to Apache Pig Part - A.mp431.27MB
  68. 06 Mapreduce with Pig Parallel processing/005 Pig LoadFunc and EvalFunc classes.mp436.78MB
  69. 06 Mapreduce with Pig Parallel processing/006 Example Pig ETL class Part - A.mp435.44MB
  70. 06 Mapreduce with Pig Parallel processing/004 Introduction to Apache Pig Part - D.mp429.76MB
  71. 06 Mapreduce with Pig Parallel processing/003 Introduction to Apache Pig Part - C.mp427.88MB
  72. 06 Mapreduce with Pig Parallel processing/002 Introduction to Apache Pig Part - B.mp435.47MB
  73. 06 Mapreduce with Pig Parallel processing/007 Example Pig ETL class Part - B.mp441.7MB
友情提示
不会用的朋友看这里 把磁力链接复制到离线下载,或者bt下载软件里即可下载文件,或者直接复制迅雷链接到迅雷里下载! 亲,你造吗?将网页分享给您的基友,下载的人越多速度越快哦!

违规内容投诉邮箱:[email protected]

概述 838888磁力搜索是一个磁力链接搜索引擎,是学术研究的副产品,用于解决资源过度分散的问题 它通过BitTorrent协议加入DHT网络,实时的自动采集数据,仅存储文件的标题、大小、文件列表、文件标识符(磁力链接)等基础信息 838888磁力搜索不下载任何真实资源,无法判断资源的合法性及真实性,使用838888磁力搜索服务的用户需自行鉴别内容的真伪 838888磁力搜索不上传任何资源,不提供Tracker服务,不提供种子文件的下载,这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统