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GetFreeCourses.Co-Udemy-Master Data Engineering using GCP Data Analytics

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  1. 7. ELT Data Pipelines using Dataproc on GCP/12. Run and Validate Spark SQL Scripts in GCS.mp4 90MB
  2. 7. ELT Data Pipelines using Dataproc on GCP/21. Review Steps and Design to create Dataproc Workflow Template.mp4 74MB
  3. 7. ELT Data Pipelines using Dataproc on GCP/23. Review gcloud Commands to Add Jobs to Dataproc Workflow Templates.mp4 74MB
  4. 4. Setting up Data Lake using Google Cloud Storage/19. Manage Blobs or Files in GCS using Python.mp4 74MB
  5. 7. ELT Data Pipelines using Dataproc on GCP/16. Run Dataproc Jobs using Spark SQL Scripts.mp4 73MB
  6. 7. ELT Data Pipelines using Dataproc on GCP/27. Run and Validate ELT Data Pipeline using Dataproc.mp4 64MB
  7. 7. ELT Data Pipelines using Dataproc on GCP/7. Validate Spark SQL Script for File Format Conversion.mp4 62MB
  8. 7. ELT Data Pipelines using Dataproc on GCP/3. Review Spark SQL Commands used for Dataproc Jobs.mp4 62MB
  9. 7. ELT Data Pipelines using Dataproc on GCP/22. Create Dataproc Workflow Template and Add Cluster using gcloud Commands.mp4 60MB
  10. 5. Setup Postgres Database using Cloud SQL/10. Read Data From Files to Pandas Data Frame.mp4 60MB
  11. 4. Setting up Data Lake using Google Cloud Storage/25. Overview of Processing Data in GCS using Pandas.mp4 55MB
  12. 4. Setting up Data Lake using Google Cloud Storage/30. Get Column Names for Dataset using Schemas JSON File.mp4 54MB
  13. 5. Setup Postgres Database using Cloud SQL/8. Integration of GCP Cloud SQL Postgres with Python.mp4 54MB
  14. 9. ELT Data Pipelines using Databricks on GCP/12. Build ELT Pipeline using Databricks Job in Workflows.mp4 50MB
  15. 9. ELT Data Pipelines using Databricks on GCP/11. Validate Applications for ELT Pipeline using Databricks.mp4 48MB
  16. 4. Setting up Data Lake using Google Cloud Storage/31. Upload all Files to GCS as Parquet using Pandas.mp4 47MB
  17. 1. Introduction to Data Engineering using GCP Data Analytics/4. Overview of Udemy Platform to take course effectively.mp4 47MB
  18. 7. ELT Data Pipelines using Dataproc on GCP/20. Getting Started with Dataproc Workflow Templates using Web UI.mp4 46MB
  19. 8. Big Data Processing using Databricks on GCP/19. Process Schema Details in JSON using Pyspark.mp4 46MB
  20. 7. ELT Data Pipelines using Dataproc on GCP/15. Run Dataproc Jobs using Spark SQL Command or Query.mp4 46MB
  21. 8. Big Data Processing using Databricks on GCP/20. Create Dataframe with Schema from JSON File using Pyspark.mp4 45MB
  22. 7. ELT Data Pipelines using Dataproc on GCP/9. Validate Spark SQL Script for Daily Product Revenue.mp4 45MB
  23. 5. Setup Postgres Database using Cloud SQL/12. Write Pandas Dataframe into Postgres Database Table.mp4 44MB
  24. 7. ELT Data Pipelines using Dataproc on GCP/24. Add Jobs to Dataproc Workflow Template using Commands.mp4 43MB
  25. 5. Setup Postgres Database using Cloud SQL/17. Get Secret Details from GCP Secret Manager using Python.mp4 42MB
  26. 4. Setting up Data Lake using Google Cloud Storage/32. Perform Validation of Files Copied using Pandas.mp4 41MB
  27. 6. Big Data Processing using Google Dataproc/10. Copy Local Files into HDFS on Dataproc.mp4 40MB
  28. 6. Big Data Processing using Google Dataproc/11. Copy GCS Files into HDFS on Dataproc.cmproj.mp4 39MB
  29. 9. ELT Data Pipelines using Databricks on GCP/6. Create and Run Orchestrated Pipeline using Databricks Job.mp4 39MB
  30. 4. Setting up Data Lake using Google Cloud Storage/10. Cleanup Buckets in GCS using gsutil.mp4 39MB
  31. 7. ELT Data Pipelines using Dataproc on GCP/26. Overview of Dataproc Operations and Deleting Workflow Runs.mp4 39MB
  32. 4. Setting up Data Lake using Google Cloud Storage/26. Convert Data to Parquet and Write to GCS using Pandas.mp4 37MB
  33. 8. Big Data Processing using Databricks on GCP/5. Overview of Databricks on GCP.mp4 37MB
  34. 7. ELT Data Pipelines using Dataproc on GCP/25. Instantiate Dataproc Workflow Template to run the Data Pipeline.mp4 37MB
  35. 8. Big Data Processing using Databricks on GCP/14. Create Temporary Views using Spark SQL.mp4 36MB
  36. 8. Big Data Processing using Databricks on GCP/23. Convert CSV to Parquet with Schema using Pyspark.mp4 36MB
  37. 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/11. Install Google Cloud SDK on Windows.mp4 35MB
  38. 8. Big Data Processing using Databricks on GCP/16. Spark SQL Query to compute Daily Product Revenue.mp4 35MB
  39. 4. Setting up Data Lake using Google Cloud Storage/18. Get GCS Bucket Details using Python.mp4 35MB
  40. 4. Setting up Data Lake using Google Cloud Storage/24. Validate Files or Blobs in GCS using Python.mp4 35MB
  41. 5. Setup Postgres Database using Cloud SQL/9. Overview of Integration of GCP Cloud SQL Postgres with Pandas.mp4 33MB
  42. 6. Big Data Processing using Google Dataproc/3. Validate SSH Connectivity to Master Node of Dataproc Cluster.mp4 33MB
  43. 4. Setting up Data Lake using Google Cloud Storage/23. Upload all Files to GCS as blobs using Python.mp4 33MB
  44. 8. Big Data Processing using Databricks on GCP/13. Getting Started with Spark SQL Example using Databricks.mp4 33MB
  45. 5. Setup Postgres Database using Cloud SQL/18. Connect to Database using Credentials from Secret Manager.mp4 33MB
  46. 9. ELT Data Pipelines using Databricks on GCP/4. Create and Run First Databricks Job.mp4 32MB
  47. 6. Big Data Processing using Google Dataproc/2. Setup Single Node Dataproc Cluster for Development.mp4 32MB
  48. 5. Setup Postgres Database using Cloud SQL/13. Validate Data in Postgres Database Tables using Pandas.mp4 32MB
  49. 4. Setting up Data Lake using Google Cloud Storage/14. Setup Bucket and Files in GCS using gsutil.mp4 32MB
  50. 6. Big Data Processing using Google Dataproc/12. Validate Pyspark CLI in Dataproc Cluster.mp4 31MB
  51. 5. Setup Postgres Database using Cloud SQL/11. Process Data using Pandas Dataframe APIs.mp4 31MB
  52. 6. Big Data Processing using Google Dataproc/4. Allocate Static IP to the Master Node VM of Dataproc Cluster.mp4 31MB
  53. 9. ELT Data Pipelines using Databricks on GCP/9. Review File Format Converter Pyspark Code.mp4 30MB
  54. 7. ELT Data Pipelines using Dataproc on GCP/4. Run Dataproc Job using Spark SQL.mp4 30MB
  55. 4. Setting up Data Lake using Google Cloud Storage/29. Overview of Parquet File Format and Schemas JSON File.mp4 29MB
  56. 7. ELT Data Pipelines using Dataproc on GCP/6. Review Spark SQL Scripts for Dataproc Jobs and Workflows.mp4 29MB
  57. 9. ELT Data Pipelines using Databricks on GCP/5. Run Databricks Jobs and Tasks with Parameters.mp4 29MB
  58. 4. Setting up Data Lake using Google Cloud Storage/9. Copy Data Sets into GCS using gsutil.mp4 29MB
  59. 9. ELT Data Pipelines using Databricks on GCP/13. Run and Review Execution details of ELT Data Pipeline using Databricks Job.mp4 29MB
  60. 7. ELT Data Pipelines using Dataproc on GCP/5. Overview of Modularizing Spark SQL Applications for Dataproc.mp4 28MB
  61. 7. ELT Data Pipelines using Dataproc on GCP/10. Develop Spark SQL Script to Cleanup Databases.mp4 28MB
  62. 4. Setting up Data Lake using Google Cloud Storage/8. Managing Buckets in GCS using gsutil.mp4 28MB
  63. 4. Setting up Data Lake using Google Cloud Storage/2. Overview of Google Cloud Storage or GCS Web UI.mp4 28MB
  64. 4. Setting up Data Lake using Google Cloud Storage/13. Setup Google Cloud Libraries in Python Virtual Environment.mp4 28MB
  65. 8. Big Data Processing using Databricks on GCP/9. Create Folder in GCS using DBFS Commands.mp4 28MB
  66. 7. ELT Data Pipelines using Dataproc on GCP/14. Manage Dataproc Clusters using gcloud Commands.mp4 27MB
  67. 4. Setting up Data Lake using Google Cloud Storage/15. Getting Started to manage files in GCS using Python.mp4 27MB
  68. 7. ELT Data Pipelines using Dataproc on GCP/18. Delete Dataproc Jobs using gcloud commands.mp4 27MB
  69. 5. Setup Postgres Database using Cloud SQL/6. Setup Tables in GCP Cloud SQL Postgres Database.mp4 27MB
  70. 8. Big Data Processing using Databricks on GCP/17. Save Query Result to DBFS using Spark SQL.mp4 27MB
  71. 6. Big Data Processing using Google Dataproc/13. Validate Spark Scala CLI in Dataproc Cluster.mp4 26MB
  72. 4. Setting up Data Lake using Google Cloud Storage/4. Review GCS Buckets and Objects using gsutil commands.mp4 26MB
  73. 6. Big Data Processing using Google Dataproc/8. Recap of gsutil to manage files and folders in GCS.mp4 26MB
  74. 5. Setup Postgres Database using Cloud SQL/3. Configure Network for Cloud SQL Postgres Database.mp4 26MB
  75. 5. Setup Postgres Database using Cloud SQL/15. Configure Access to GCP Secret Manager via IAM Roles.mp4 26MB
  76. 8. Big Data Processing using Databricks on GCP/12. Process Data in DBFS using Databricks Spark SQL.mp4 26MB
  77. 6. Big Data Processing using Google Dataproc/7. Getting Started with HDFS Commands on Dataproc.mp4 26MB
  78. 6. Big Data Processing using Google Dataproc/14. Validate Spark SQL CLI in Dataproc Cluster.mp4 26MB
  79. 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/12. Initialize gcloud CLI using GCP Project.mp4 26MB
  80. 7. ELT Data Pipelines using Dataproc on GCP/13. Limitations of Running Spark SQL Scripts using Dataproc Jobs.mp4 25MB
  81. 8. Big Data Processing using Databricks on GCP/6. Overview of Databricks CLI Commands.mp4 25MB
  82. 6. Big Data Processing using Google Dataproc/5. Setup VS Code Remote Window for Dataproc VM.mp4 25MB
  83. 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/8. Overview of GCP Credits.mp4 24MB
  84. 5. Setup Postgres Database using Cloud SQL/5. Setup Database in GCP Cloud SQL Postgres Database Server.mp4 24MB
  85. 4. Setting up Data Lake using Google Cloud Storage/7. Overview of Data Sets.mp4 23MB
  86. 8. Big Data Processing using Databricks on GCP/21. Transform Data using Spark APIs.mp4 23MB
  87. 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/4. Overview of Google Cloud Platform or GCP.mp4 22MB
  88. 1. Introduction to Data Engineering using GCP Data Analytics/1. Introduction to Data Engineering using GCP Data Analytics.mp4 22MB
  89. 6. Big Data Processing using Google Dataproc/1. Getting Started with GCP Dataproc.mp4 21MB
  90. 8. Big Data Processing using Databricks on GCP/10. Upload Data Set into DBFS using GCS Web UI.mp4 21MB
  91. 8. Big Data Processing using Databricks on GCP/22. Get Schema Details for all Data Sets using Pyspark.mp4 21MB
  92. 4. Setting up Data Lake using Google Cloud Storage/21. Design to Upload multiple files into GCS using Python.mp4 21MB
  93. 7. ELT Data Pipelines using Dataproc on GCP/8. Exercise to convert file format using Spark SQL Script.mp4 21MB
  94. 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/13. Reinitialize Google Cloud Shell with Project id.mp4 21MB
  95. 4. Setting up Data Lake using Google Cloud Storage/28. Get File Names to upload into GCS using Python glob and os.mp4 21MB
  96. 8. Big Data Processing using Databricks on GCP/7. Limitations of Managing DBFS using Databricks CLI.mp4 20MB
  97. 8. Big Data Processing using Databricks on GCP/2. Create Databricks Workspace on GCP.mp4 20MB
  98. 8. Big Data Processing using Databricks on GCP/1. Signing up for Databricks on GCP.mp4 19MB
  99. 9. ELT Data Pipelines using Databricks on GCP/10. Review Databricks SQL Notebooks for Tables and Final Results.mp4 19MB
  100. 5. Setup Postgres Database using Cloud SQL/2. Setup Postgres Database Server using GCP Cloud SQL.mp4 19MB
  101. 7. ELT Data Pipelines using Dataproc on GCP/1. Overview of GCP Dataproc Jobs and Workflow.mp4 19MB
  102. 7. ELT Data Pipelines using Dataproc on GCP/2. Setup JSON Dataset in GCS for Dataproc Jobs.mp4 18MB
  103. 9. ELT Data Pipelines using Databricks on GCP/1. Overview of Databricks Workflows.mp4 18MB
  104. 4. Setting up Data Lake using Google Cloud Storage/1. Getting Started with Google Cloud Storage or GCS.mp4 18MB
  105. 4. Setting up Data Lake using Google Cloud Storage/27. Design to Upload multiple files into GCS using Pandas.mp4 18MB
  106. 2. Setup Environment for Data Engineering using GCP Data Analytics/1. Review Data Engineering on GCP Folder.mp4 18MB
  107. 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/10. Overview of Google Cloud Shell.mp4 18MB
  108. 7. ELT Data Pipelines using Dataproc on GCP/17. Exercises to Run Spark SQL Scripts as Dataproc Jobs using gcloud.mp4 17MB
  109. 6. Big Data Processing using Google Dataproc/9. Review Data Sets setup on Dataproc Master Node VM.mp4 17MB
  110. 5. Setup Postgres Database using Cloud SQL/14. Getting Started with Secrets using GCP Secret Manager.mp4 17MB
  111. 5. Setup Postgres Database using Cloud SQL/19. Stop GCP Cloud SQL Postgres Database Server.mp4 17MB
  112. 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/3. Overview of Cloud Platforms.mp4 17MB
  113. 8. Big Data Processing using Databricks on GCP/8. Overview of Copying Data Sets into DBFS on GCS.mp4 17MB
  114. 4. Setting up Data Lake using Google Cloud Storage/16. Setup Credentials for Python and GCS Integration.mp4 17MB
  115. 2. Setup Environment for Data Engineering using GCP Data Analytics/2. Setup VS Code Workspace for Data Engineering on GCP.mp4 16MB
  116. 5. Setup Postgres Database using Cloud SQL/1. Overview of GCP Cloud SQL.mp4 16MB
  117. 4. Setting up Data Lake using Google Cloud Storage/17. Review Methods in Google Cloud Storage Python library.mp4 16MB
  118. 9. ELT Data Pipelines using Databricks on GCP/8. Spark SQL Application to Cleanup Database and Datasets.mp4 16MB
  119. 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/7. Sign up for GCP using Google Account.mp4 16MB
  120. 4. Setting up Data Lake using Google Cloud Storage/6. Setup Data Repository in Google Cloud Shell.mp4 16MB
  121. 8. Big Data Processing using Databricks on GCP/11. Copy Data Set into DBFS using gsutil.mp4 15MB
  122. 4. Setting up Data Lake using Google Cloud Storage/22. Get File Names to upload into GCS using Python glob and os.mp4 15MB
  123. 2. Setup Environment for Data Engineering using GCP Data Analytics/3. Setup and Integrate Python 3.9 venv with VS Code Workspace.mp4 15MB
  124. 6. Big Data Processing using Google Dataproc/6. Setup Workspace using VS Code on Dataproc.mp4 15MB
  125. 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/14. Overview of Analytics Services on GCP.mp4 15MB
  126. 5. Setup Postgres Database using Cloud SQL/7. Validate Data in GCP Cloud SQL Postgres Database Tables.mp4 15MB
  127. 9. ELT Data Pipelines using Databricks on GCP/7. Import ELT Data Pipeline Applications into Databricks Environment.mp4 15MB
  128. 9. ELT Data Pipelines using Databricks on GCP/2. Pass Arguments to Databricks Python Notebooks.mp4 14MB
  129. 9. ELT Data Pipelines using Databricks on GCP/3. Pass Arguments to Databricks SQL Notebooks.mp4 14MB
  130. 8. Big Data Processing using Databricks on GCP/3. Getting Started with Databricks Clusters on GCP.mp4 14MB
  131. 7. ELT Data Pipelines using Dataproc on GCP/19. Importance of using gcloud commands to manage dataproc jobs.mp4 14MB
  132. 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/9. Overview of GCP Project and Billing.mp4 13MB
  133. 8. Big Data Processing using Databricks on GCP/4. Getting Started with Databricks Notebook.mp4 13MB
  134. 4. Setting up Data Lake using Google Cloud Storage/3. Upload Folders and Files using into GCS Bucket using GCP Web UI.mp4 12MB
  135. 4. Setting up Data Lake using Google Cloud Storage/20. Project Problem Statement to Manage Files in GCS using Python.mp4 12MB
  136. 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/5. Overview of Signing for GCP Account.mp4 12MB
  137. 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/2. Pre-requisite Skills to Sign up for course on GCP Data Analytics.mp4 12MB
  138. 5. Setup Postgres Database using Cloud SQL/4. Validate Client Tools for Postgres on Mac or PC.mp4 11MB
  139. 7. ELT Data Pipelines using Dataproc on GCP/11. Copy Spark SQL Scripts to GCS.mp4 11MB
  140. 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/6. Create New Google Account using Non Gmail Id.mp4 11MB
  141. 1. Introduction to Data Engineering using GCP Data Analytics/3. Highlights of the Data Engineering using GCP Data Analytics Course.mp4 10MB
  142. 5. Setup Postgres Database using Cloud SQL/16. Install Google Cloud Secret Manager Python Library.mp4 10MB
  143. 7. ELT Data Pipelines using Dataproc on GCP/28. Stop Dataproc Cluster.mp4 9MB
  144. 1. Introduction to Data Engineering using GCP Data Analytics/5. Refund Policy and Request for Rating and Feedback.mp4 9MB
  145. 8. Big Data Processing using Databricks on GCP/15. Exercise to create temporary views using Spark SQL.mp4 9MB
  146. 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/1. Introduction to Getting Started with GCP.mp4 8MB
  147. 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/15. Conclusion to Get Started with GCP for Data Engineering.mp4 8MB
  148. 4. Setting up Data Lake using Google Cloud Storage/12. Overview of Setting up Data Lake using GCS.mp4 8MB
  149. 1. Introduction to Data Engineering using GCP Data Analytics/2. Pre-requisites for Data Engineering using GCP Data Analytics.mp4 6MB
  150. 8. Big Data Processing using Databricks on GCP/18. Overview of Pyspark Examples on Databricks.cmproj.mp4 6MB
  151. 4. Setting up Data Lake using Google Cloud Storage/11. Exercise to Manage Buckets and Files in GCS using gsutil.mp4 5MB
  152. 4. Setting up Data Lake using Google Cloud Storage/5. Delete GCS Bucket using Web UI.mp4 5MB
  153. 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/How you can help GetFreeCourses.Co.txt 182B
  154. 7. ELT Data Pipelines using Dataproc on GCP/How you can help GetFreeCourses.Co.txt 182B
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