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Google Cloud Certified Professional Data Engineer

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12:37:29

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  • 1. Course Introduction .mp4
    05:48
  • 2. About the Training Architect.mp4
    00:41
  • 3. Course Updated for March 2019 Refresh.mp4
    01:09
  • 4. Intro to the Data Dossier - Interactive Study Guide.mp4
    04:53
  • 5. Course and Exam Overview.mp4
    05:06
  • 6. What is a Data Engineer.mp4
    03:19
  • 7. Data Lifecycle.mp4
    11:42
  • 8. Batch and Streaming Data.mp4
    05:28
  • 9. Cloud Storage as Staging Ground.mp4
    07:16
  • 10. Database Types.mp4
    07:21
  • 11. Monitoring Unmanaged Databases.mp4
    06:04
  • 12. Choosing a Managed Database.mp4
    07:15
  • 13. Cloud SQL Basics.mp4
    05:08
  • 14. Cloud SQL Hands On.mp4
    12:46
  • 15. Importing Data.mp4
    12:10
  • 16. SQL Query Best Practices.mp4
    02:48
  • 17. Datastore Overview.mp4
    09:21
  • 18. Data Organization.mp4
    16:03
  • 19. Queries and Indexing.mp4
    11:29
  • 20. Data Consistency.mp4
    06:18
  • 21. Bigtable Overview.mp4
    07:44
  • 22. Instance Configuration.mp4
    18:11
  • 23. Data Organization.mp4
    05:28
  • 24. Schema Design.mp4
    08:37
  • 25. Cloud Spanner Overview.mp4
    11:17
  • 26. Data Organization and Schema.mp4
    07:12
  • 27. Hands On and Viewing Examples.mp4
    11:46
  • 28. Streaming Data Challenges.mp4
    08:24
  • 29. Cloud PubSub Overview.mp4
    12:28
  • 30. PubSub Hands On.mp4
    18:24
  • 31. Connecting Kafka to GCP.mp4
    05:13
  • 32. Monitoring Subscriber Health.mp4
    09:30
  • 33. Data Processing Pipelines.mp4
    05:24
  • 34. Cloud Dataflow Overview.mp4
    10:09
  • 35. Key Concepts.mp4
    09:43
  • 36. Template Hands On.mp4
    11:08
  • 37. Streaming Ingest Pipeline Hands On.mp4
    20:03
  • 38. Additional Best Practices.mp4
    10:11
  • 39. Dataproc Overview.mp4
    10:48
  • 40. Configure Dataproc Cluster and Submit Job Part 1.mp4
    15:35
  • 41. Configure Dataproc Cluster and Submit Job Part 2.mp4
    14:35
  • 42. Migrating and Optimizing for Google Cloud.mp4
    09:49
  • 43. Best Practices for Cluster Performance.mp4
    05:42
  • 44. BigQuery Overview.mp4
    14:43
  • 45. Interacting with BigQuery.mp4
    22:10
  • 46. Load and Export Data.mp4
    19:02
  • 47. Optimize for Performance and Costs.mp4
    15:29
  • 48. Streaming Insert Example.mp4
    08:39
  • 49. BigQuery Logging and Monitoring.mp4
    08:18
  • 50. BigQuery Best Practices.mp4
    14:53
  • 51. What is Machine Learning.mp4
    14:45
  • 52. Working with Neural Networks.mp4
    15:08
  • 53. Preventing Overfitted Training Data.mp4
    07:40
  • 54. GCP Machine Learning Services.mp4
    05:57
  • 55. AI Platform Overview.mp4
    16:52
  • 56. AI Platform Hands On Part 1.mp4
    15:04
  • 57. AI Platform Hands On Part 2.mp4
    15:37
  • 58. Pre-trained ML API s.mp4
    09:10
  • 59. Vision API Demo.mp4
    13:28
  • 60. Datalab Overview.mp4
    08:45
  • 61. Datalab Demo.mp4
    17:49
  • 62. What is Dataprep.mp4
    08:58
  • 63. Dataprep Demo Part 1.mp4
    14:15
  • 64. Dataprep Demo Part 2.mp4
    16:32
  • 65. Dataprep Demo Part 3.mp4
    11:48
  • 66. Data Studio Introduction.mp4
    09:31
  • 67. Data Studio Demo.mp4
    28:19
  • 68. Cloud Composer Overview.mp4
    08:26
  • 69. Hands On - Cloud Composer.mp4
    15:25
  • 70. Additional Study Resources.mp4
    02:56
  • 71. Additional Hands On and Practice Resources.mp4
    04:43
  • 72. What s Next After Certification.mp4
    03:41
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    A Cloud Guru is an online training platform for people interested in Information Technology. Most of the courses offered prepare students to take certification exams for the three major cloud providers.
    • language english
    • Training sessions 72
    • duration 12:37:29
    • Release Date 2024/04/28