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Lynda.Hadoop.Fundamentals

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2016-1-7 22:17 2024-11-18 19:36 106 471.01 MB 61
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文件列表
  1. 017 Using Amazon Web Services (AWS) and Microsoft cloud-hosted Hadoop.mp434.42MB
  2. 041 Exploring Hive tools in the Cloudera distribution and the Hue web console.mp421.24MB
  3. 028 Reviewing the code for a MapReduce WordCount job.mp417.55MB
  4. 060 Using D3, BigML, and new tools.mp417.48MB
  5. 035 Coding a basic WordCount in Java using MapReduce 2.0.mp417.24MB
  6. 024 Understanding MapReduce 1.0.mp414.93MB
  7. 015 Exploring Cloudera Hadoop via Cloudera Live.mp414.64MB
  8. 027 Using the console to run a MapReduce job.mp414.59MB
  9. 058 Understanding the Hive landscape.mp414.15MB
  10. 023 Exploring the Cloudera VM IDE.mp413.56MB
  11. 025 Exploring the components of a MapReduce job.mp412.85MB
  12. 045 Exploring Pig tools in the Cloudera distribution.mp412.43MB
  13. 026 Working with the Hadoop file system.mp412.34MB
  14. 047 Building a workflow with Oozie.mp411.3MB
  15. 007 Introducing Hadoop.mp411.02MB
  16. 031 Tuning a mapper.mp410.22MB
  17. 038 Understanding Hive.mp49.42MB
  18. 036 Exploring advanced WordCount in Java using MapReduce 2.0.mp49.41MB
  19. 030 Tuning by physical methods.mp49.11MB
  20. 054 Using Impala.mp48.62MB
  21. 039 Revisiting WordCount using Hive.mp48.57MB
  22. 055 Introducing Mahout.mp47.42MB
  23. 059 Using Tableau, Excel, and traditional tools.mp47.34MB
  24. 049 Importing data with Sqoop.mp46.88MB
  25. 004 Understanding the limits of relational database management systems.mp46.48MB
  26. 006 Understanding big data.mp46.4MB
  27. 014 Exploring the Hortonworks and MapR Hadoop distributions.mp46.32MB
  28. 034 Understanding MapReduce 2.0.mp46.28MB
  29. 057 Introducing Apache Spark.mp46.27MB
  30. 013 Exploring the Apache and Cloudera Hadoop distributions.mp46.21MB
  31. 042 Introducing Pig.mp46.2MB
  32. 018 Understanding the parts and pieces.mp46.18MB
  33. 043 Understanding Pig.mp45.96MB
  34. 053 Introducing Impala.mp45.91MB
  35. 012 Introducing Hadoop cluster components.mp45.88MB
  36. 029 Running and tracking Hadoop jobs.mp45.73MB
  37. 044 Exploring use cases for Pig.mp45.28MB
  38. 001 Welcome.mp44.98MB
  39. 033 Using a cache for lookups.mp44.89MB
  40. 005 Introducing CAP (consistency, availability, partitioning).mp44.88MB
  41. 040 Understanding more about HQL query optimization.mp44.63MB
  42. 008 Understanding the difference between HBase and Hadoop.mp44.56MB
  43. 050 Introducing Flume.mp44.24MB
  44. 011 Exploring Hadoop Distributed File System (HDFS) and other file systems.mp44.04MB
  45. 046 Introducing Oozie.mp43.97MB
  46. 051 Introducing ZooKeeper.mp43.96MB
  47. 056 Introducing Storm.mp43.86MB
  48. 037 Introducing Hive and HBase.mp43.67MB
  49. 052 Using ZooKeeper to coordinate workflows.mp43.37MB
  50. 048 Introducing Sqoop.mp43.31MB
  51. 019 Hosting Hadoop locally with the Cloudera developer distribution.mp43.27MB
  52. 032 Tuning a reducer.mp42.95MB
  53. 016 Understanding Hadoop versions.mp42.58MB
  54. 020 Setting up the Cloudera Hadoop developer virtual machine (VM).mp42.43MB
  55. 021 Adding Hadoop libraries to your test environment.mp42.35MB
  56. 010 Understanding Java virtual machines (JVMs).mp41.66MB
  57. 022 Picking your programming language and IDE.mp41.56MB
  58. 009 Exploring the future of Hadoop.mp41.35MB
  59. 061 Next steps.mp41.22MB
  60. 002 What you should know before watching this course.mp4832.07KB
  61. 003 Using the exercise files.mp4502.45KB
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