Udemy Mastering AWS Lambda Functions for Data Engineers Giga Course

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2023-10-23 08:44 (3 years ago)
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Files
  1. [CourseClub.Me].url122 bytes
  2. [GigaCourse.Com].url49 bytes
  3. 1. Introduction to Mastering AWS Lambda Functions for Data Engineers.mp435.0 MB
  4. 1. Introduction to Mastering AWS Lambda Functions for Data Engineers.srt6.1 KB
  5. 2. Resources used for Mastering AWS Lambda Functions for Data Engineers.mp417.9 MB
  6. 2. Resources used for Mastering AWS Lambda Functions for Data Engineers.srt3.8 KB
  7. 2.1 GitHub Repository for resources related to Mastering AWS Lambda Functions for Data Engineers.html104 bytes
  8. [CourseClub.Me].url122 bytes
  9. [GigaCourse.Com].url49 bytes
  10. 1. Overview of Powershell on Windows 10 or Windows 11.mp427.0 MB
  11. 1. Overview of Powershell on Windows 10 or Windows 11.srt7.7 KB
  12. 2. Setup Ubuntu VM on Windows 10 or 11 using wsl.mp434.5 MB
  13. 2. Setup Ubuntu VM on Windows 10 or 11 using wsl.srt9.8 KB
  14. 3. Setup Ubuntu VM on Windows 10 or 11 using wsl.mp448.0 MB
  15. 3. Setup Ubuntu VM on Windows 10 or 11 using wsl.srt8.5 KB
  16. 4. Setup Docker Desktop on Windows.mp428.6 MB
  17. 4. Setup Docker Desktop on Windows.srt9.0 KB
  18. 5. Validate Docker on Windows using Command Line leveraging Power Shell.mp423.7 MB
  19. 5. Validate Docker on Windows using Command Line leveraging Power Shell.srt5.3 KB
  20. 6. Review Docker Desktop Resource Configurations.mp420.8 MB
  21. 6. Review Docker Desktop Resource Configurations.srt6.6 KB
  22. 7. Install Visual Studio Code on Windows.mp414.5 MB
  23. 7. Install Visual Studio Code on Windows.srt4.6 KB
  24. 8. Install Remote Development Extension Kit for Visual Studio Code.mp48.8 MB
  25. 8. Install Remote Development Extension Kit for Visual Studio Code.srt2.9 KB
  26. [CourseClub.Me].url122 bytes
  27. [GigaCourse.Com].url49 bytes
  28. 1. Setup Project Folder using Visual Studio Code.mp413.5 MB
  29. 1. Setup Project Folder using Visual Studio Code.srt5.4 KB
  30. 2. Ensure Python 3.9 for the Project.mp419.5 MB
  31. 2. Ensure Python 3.9 for the Project.srt6.9 KB
  32. 3. Create Python Virtual Environment using Python 3.mp49.7 MB
  33. 3. Create Python Virtual Environment using Python 3.srt4.6 KB
  34. 4. Install Required Dependencies for the Project using AWS Services.mp438.9 MB
  35. 4. Install Required Dependencies for the Project using AWS Services.srt11.0 KB
  36. 5. Ensure AWS CLI to interact with AWS Services using AWS CLI Commands.mp49.6 MB
  37. 5. Ensure AWS CLI to interact with AWS Services using AWS CLI Commands.srt3.4 KB
  38. 6. Recommendation to use Personal AWS Account for the course.mp47.5 MB
  39. 6. Recommendation to use Personal AWS Account for the course.srt4.2 KB
  40. [CourseClub.Me].url122 bytes
  41. [GigaCourse.Com].url49 bytes
  42. 1. Setup and Login into AWS Account.mp420.7 MB
  43. 1. Setup and Login into AWS Account.srt6.4 KB
  44. 10. Review GHActivity Data using Pandas.mp425.8 MB
  45. 10. Review GHActivity Data using Pandas.srt7.0 KB
  46. 2. Setup AWS IAM User with Administrator Permissions.mp420.6 MB
  47. 2. Setup AWS IAM User with Administrator Permissions.srt7.3 KB
  48. 3. Configure and Validate AWS CLI.mp428.7 MB
  49. 3. Configure and Validate AWS CLI.srt9.8 KB
  50. 4. Configure AWS CLI with custom profile as default.mp433.6 MB
  51. 4. Configure AWS CLI with custom profile as default.srt8.1 KB
  52. 5. Recap of Date Arithmetic using Python.mp454.0 MB
  53. 5. Recap of Date Arithmetic using Python.srt13.2 KB
  54. 6. Validate Python boto3 to interact with AWS Services.mp448.6 MB
  55. 6. Validate Python boto3 to interact with AWS Services.srt13.0 KB
  56. 7. Setup and Validate Jupyter based Interactive Environment.mp414.5 MB
  57. 7. Setup and Validate Jupyter based Interactive Environment.srt5.9 KB
  58. 8. Review GHActivity Data Details.mp414.9 MB
  59. 8. Review GHActivity Data Details.srt4.9 KB
  60. 9. Download GHActivity Data using requests.mp438.0 MB
  61. 9. Download GHActivity Data using requests.srt11.5 KB
  62. [CourseClub.Me].url122 bytes
  63. [GigaCourse.Com].url49 bytes
  64. 1. Managing s3 using Python boto3.mp458.7 MB
  65. 1. Managing s3 using Python boto3.srt13.7 KB
  66. 2. Overview of AWS Dynamodb.mp423.4 MB
  67. 2. Overview of AWS Dynamodb.srt6.6 KB
  68. 3. Create DynamoDB Table for Job Details.mp478.6 MB
  69. 3. Create DynamoDB Table for Job Details.srt19.3 KB
  70. 4. Create DynamoDB Table for Job Run Details.mp446.5 MB
  71. 4. Create DynamoDB Table for Job Run Details.srt12.1 KB
  72. 5. Get First Run Details to Copy GHActivity Data to AWS s3.mp459.0 MB
  73. 5. Get First Run Details to Copy GHActivity Data to AWS s3.srt14.5 KB
  74. 6. Get Incremental Load Logic for next file.mp452.2 MB
  75. 6. Get Incremental Load Logic for next file.srt12.1 KB
  76. 7. Understand AWS s3 concepts such as buckets and objects.mp478.2 MB
  77. 7. Understand AWS s3 concepts such as buckets and objects.srt15.5 KB
  78. 8. Copying or Uploading Files to AWS s3 as objects using Python boto3.mp481.8 MB
  79. 8. Copying or Uploading Files to AWS s3 as objects using Python boto3.srt16.5 KB
  80. 9. Writing Python Objects or Data as AWS s3 Objects using boto3.mp462.4 MB
  81. 9. Writing Python Objects or Data as AWS s3 Objects using boto3.srt13.4 KB
  82. 1. Overview of AWS Lambda and Getting Started using Python 3.mp436.7 MB
  83. 1. Overview of AWS Lambda and Getting Started using Python 3.srt12.8 KB
  84. 10. Setup Python Project for AWS Lambda using Visual Studio Code.mp420.3 MB
  85. 10. Setup Python Project for AWS Lambda using Visual Studio Code.srt4.8 KB
  86. 11. Core Logic to upload files to AWS S3 using Python boto3.mp435.4 MB
  87. 11. Core Logic to upload files to AWS S3 using Python boto3.srt8.6 KB
  88. 12. Develop Python Application to upload files to AWS s3 using Python boto3.mp426.1 MB
  89. 12. Develop Python Application to upload files to AWS s3 using Python boto3.srt7.3 KB
  90. 13. Build Zip File for Python Application to deploy as AWS Lambda Function.mp438.0 MB
  91. 13. Build Zip File for Python Application to deploy as AWS Lambda Function.srt5.9 KB
  92. 14. Deploy Python Application as AWS Lambda Function using Zip File.mp446.6 MB
  93. 14. Deploy Python Application as AWS Lambda Function using Zip File.srt10.2 KB
  94. 15. Conclusion and request for rating and feedback.mp418.6 MB
  95. 15. Conclusion and request for rating and feedback.srt4.0 KB
  96. 2. Passing Arguments to AWS Lambda and Processing using Python.mp418.3 MB
  97. 2. Passing Arguments to AWS Lambda and Processing using Python.srt6.6 KB
  98. 3. Using Custom Handlers for AWS Lambda Functions using Python 3.mp413.4 MB
  99. 3. Using Custom Handlers for AWS Lambda Functions using Python 3.srt5.3 KB
  100. 4. Using AWS Services such as s3 in AWS Lambda Functions.mp448.4 MB
  101. 4. Using AWS Services such as s3 in AWS Lambda Functions.srt15.5 KB
  102. 5. Recap of handling permissions using AWS IAM Roles and User Groups.mp428.2 MB
  103. 5. Recap of handling permissions using AWS IAM Roles and User Groups.srt5.5 KB
  104. 6. Develop AWS Lambda Function to list objects from AWS S3 Bucket.mp444.1 MB
  105. 6. Develop AWS Lambda Function to list objects from AWS S3 Bucket.srt14.8 KB
  106. 7. Passing Environment Variables to AWS Lambda Functions.mp415.9 MB
  107. 7. Passing Environment Variables to AWS Lambda Functions.srt5.7 KB
  108. 8. Customizing Resources such as memory used for AWS Lambda Function.mp431.2 MB
  109. 8. Customizing Resources such as memory used for AWS Lambda Function.srt11.3 KB
  110. 9. Understand Problem Statement for Python Application for AWS.mp411.2 MB
  111. 9. Understand Problem Statement for Python Application for AWS.srt3.1 KB
  112. [CourseClub.Me].url122 bytes
  113. [GigaCourse.Com].url49 bytes
  114. 1. Introduction to Build and Deploy AWS Lambda Function using Zip File.mp416.2 MB
  115. 1. Introduction to Build and Deploy AWS Lambda Function using Zip File.srt6.3 KB
  116. 10. Change Memory and Timeout for AWS Lambda Function and Test.mp412.5 MB
  117. 10. Change Memory and Timeout for AWS Lambda Function and Test.srt4.1 KB
  118. 11. Recap and Overview of Monitoring Lambda Functions using Cloudwatch.mp452.2 MB
  119. 11. Recap and Overview of Monitoring Lambda Functions using Cloudwatch.srt12.5 KB
  120. 12. Limitations of Deploying AWS Lambda Function using Zip file.mp43.9 MB
  121. 12. Limitations of Deploying AWS Lambda Function using Zip file.srt1.6 KB
  122. 13. Automate Build of AWS Lambda Function using Shell Scripts.mp440.3 MB
  123. 13. Automate Build of AWS Lambda Function using Shell Scripts.srt11.0 KB
  124. 2. Update Application Code with Core logic for Ingestion.mp458.9 MB
  125. 2. Update Application Code with Core logic for Ingestion.srt11.1 KB
  126. 3. Overview of Validating User Defined Functions using Python CLI.mp425.3 MB
  127. 3. Overview of Validating User Defined Functions using Python CLI.srt8.4 KB
  128. 4. Validate Application using Core Logic to ingest data.mp455.4 MB
  129. 4. Validate Application using Core Logic to ingest data.srt10.6 KB
  130. 5. Add Lambda Handler to ingest data to AWS s3.mp437.0 MB
  131. 5. Add Lambda Handler to ingest data to AWS s3.srt6.2 KB
  132. 6. Build Zip File for Python Application to deploy as AWS Lambda Function.mp445.8 MB
  133. 6. Build Zip File for Python Application to deploy as AWS Lambda Function.srt9.7 KB
  134. 7. Upload Python Application Zip File to s3 and deploy as AWS Lambda Function.mp431.4 MB
  135. 7. Upload Python Application Zip File to s3 and deploy as AWS Lambda Function.srt8.9 KB
  136. 8. Set Custom Handler and required Environment Variables for AWS Lambda Function.mp430.0 MB
  137. 8. Set Custom Handler and required Environment Variables for AWS Lambda Function.srt7.6 KB
  138. 9. Granting Permissions on AWS s3 and Dynamodb to AWS Lambda Function via Role.mp413.9 MB
  139. 9. Granting Permissions on AWS s3 and Dynamodb to AWS Lambda Function via Role.srt4.4 KB
  140. [CourseClub.Me].url122 bytes
  141. [GigaCourse.Com].url49 bytes
  142. [CourseClub.Me].url122 bytes
  143. [GigaCourse.Com].url49 bytes

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