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Data Science on Google Cloud Platform - Building Data Pipelines

  • 收录时间:2019-06-08 18:41:04
  • 文件大小:153MB
  • 下载次数:70
  • 最近下载:2021-01-23 17:40:22
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文件列表

  1. 4.3. Setting Up Dataflow/14.Setting up Python.mp4 12MB
  2. 4.3. Setting Up Dataflow/16.Executing in Dataflow.mp4 11MB
  3. 4.3. Setting Up Dataflow/15.Creating a simple pipeline.mp4 10MB
  4. 6.5. Cloud Pub_Sub/31.Python SDK.mp4 9MB
  5. 7.6. Streaming with Dataflow/34.Streaming and windowing example.mp4 8MB
  6. 5.4. Data Processing with Beam and Dataflow/17.Reading text files.mp4 8MB
  7. 1.Introduction/01.What goes into a data pipeline.mp4 7MB
  8. 4.3. Setting Up Dataflow/13.Setting up GCP for Dataflow.mp4 6MB
  9. 5.4. Data Processing with Beam and Dataflow/18.ParDo.mp4 6MB
  10. 5.4. Data Processing with Beam and Dataflow/19.GroupBy.mp4 5MB
  11. 5.4. Data Processing with Beam and Dataflow/20.Map.mp4 4MB
  12. 5.4. Data Processing with Beam and Dataflow/21.Combine.mp4 4MB
  13. 6.5. Cloud Pub_Sub/30.Publish and receive.mp4 4MB
  14. 6.5. Cloud Pub_Sub/25.Topics and messages.mp4 3MB
  15. 6.5. Cloud Pub_Sub/29.Create a subscription.mp4 3MB
  16. 5.4. Data Processing with Beam and Dataflow/22.Writing data to text files.mp4 3MB
  17. 1.Introduction/02.Data science modules covered.mp4 3MB
  18. 6.5. Cloud Pub_Sub/24.What is Pub_Sub.mp4 3MB
  19. 5.4. Data Processing with Beam and Dataflow/23.Other capabilities.mp4 3MB
  20. 7.6. Streaming with Dataflow/33.Windowing with Dataflow.mp4 3MB
  21. 2.1. GCP Data Pipeline Products/03.GCP data pipeline options.mp4 3MB
  22. 6.5. Cloud Pub_Sub/28.Create a topic.mp4 3MB
  23. 6.5. Cloud Pub_Sub/27.Subscribers.mp4 3MB
  24. 6.5. Cloud Pub_Sub/26.Publishers.mp4 3MB
  25. 3.2. Apache Beam/07.What is Apache Beam.mp4 3MB
  26. 7.6. Streaming with Dataflow/32.Streaming with Dataflow.mp4 3MB
  27. 8.Conclusion/35.Next steps.mp4 3MB
  28. 3.2. Apache Beam/10.Transforms.mp4 2MB
  29. 3.2. Apache Beam/12.Runners.mp4 2MB
  30. 2.1. GCP Data Pipeline Products/05.Cloud Dataflow.mp4 2MB
  31. 3.2. Apache Beam/11.Pipeline I_O.mp4 2MB
  32. 3.2. Apache Beam/09.PCollections.mp4 2MB
  33. 2.1. GCP Data Pipeline Products/06.Cloud Pub_Sub.mp4 2MB
  34. 2.1. GCP Data Pipeline Products/04.Cloud Dataproc.mp4 2MB
  35. 3.2. Apache Beam/08.Beam pipelines.mp4 1MB
  36. Exercise Files/Ex_Files_Data_Science_Google_Cloud_Data.zip 7KB
  37. 4.3. Setting Up Dataflow/14.Setting up Python.en.srt 7KB
  38. 6.5. Cloud Pub_Sub/31.Python SDK.en.srt 7KB
  39. 4.3. Setting Up Dataflow/15.Creating a simple pipeline.en.srt 6KB
  40. 4.3. Setting Up Dataflow/16.Executing in Dataflow.en.srt 6KB
  41. 7.6. Streaming with Dataflow/34.Streaming and windowing example.en.srt 5KB
  42. 5.4. Data Processing with Beam and Dataflow/17.Reading text files.en.srt 5KB
  43. 5.4. Data Processing with Beam and Dataflow/18.ParDo.en.srt 3KB
  44. 1.Introduction/02.Data science modules covered.en.srt 3KB
  45. 6.5. Cloud Pub_Sub/29.Create a subscription.en.srt 3KB
  46. 6.5. Cloud Pub_Sub/30.Publish and receive.en.srt 3KB
  47. 7.6. Streaming with Dataflow/33.Windowing with Dataflow.en.srt 3KB
  48. 6.5. Cloud Pub_Sub/25.Topics and messages.en.srt 3KB
  49. 5.4. Data Processing with Beam and Dataflow/21.Combine.en.srt 3KB
  50. 4.3. Setting Up Dataflow/13.Setting up GCP for Dataflow.en.srt 3KB
  51. 5.4. Data Processing with Beam and Dataflow/19.GroupBy.en.srt 3KB
  52. 3.2. Apache Beam/07.What is Apache Beam.en.srt 3KB
  53. 5.4. Data Processing with Beam and Dataflow/23.Other capabilities.en.srt 3KB
  54. 6.5. Cloud Pub_Sub/24.What is Pub_Sub.en.srt 3KB
  55. 6.5. Cloud Pub_Sub/27.Subscribers.en.srt 2KB
  56. 7.6. Streaming with Dataflow/32.Streaming with Dataflow.en.srt 2KB
  57. 6.5. Cloud Pub_Sub/26.Publishers.en.srt 2KB
  58. 2.1. GCP Data Pipeline Products/03.GCP data pipeline options.en.srt 2KB
  59. 3.2. Apache Beam/12.Runners.en.srt 2KB
  60. 3.2. Apache Beam/10.Transforms.en.srt 2KB
  61. 5.4. Data Processing with Beam and Dataflow/20.Map.en.srt 2KB
  62. 6.5. Cloud Pub_Sub/28.Create a topic.en.srt 2KB
  63. 3.2. Apache Beam/11.Pipeline I_O.en.srt 2KB
  64. 3.2. Apache Beam/09.PCollections.en.srt 2KB
  65. 2.1. GCP Data Pipeline Products/05.Cloud Dataflow.en.srt 2KB
  66. 5.4. Data Processing with Beam and Dataflow/22.Writing data to text files.en.srt 2KB
  67. 2.1. GCP Data Pipeline Products/04.Cloud Dataproc.en.srt 2KB
  68. 1.Introduction/01.What goes into a data pipeline.en.srt 1KB
  69. 2.1. GCP Data Pipeline Products/06.Cloud Pub_Sub.en.srt 1KB
  70. 8.Conclusion/35.Next steps.en.srt 1007B
  71. 3.2. Apache Beam/08.Beam pipelines.en.srt 883B