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Название Data Engineering with Python and AWS Lambda
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001. 1.1 Create a Hello World AWS Lambda function in the console.mp4 23.41Мб
001. 10.1 Use API Gateway.mp4 59.99Мб
001. 11.1 Begin Cognito authentication.mp4 2.45Мб
001. 12.1 Use DynamoDB for data engineering.mp4 18.51Мб
001. 13.1 Integrate Amazon Quicksite.mp4 13.04Мб
001. 14.1 Use Kinesis Streams.mp4 34.27Мб
001. 15.1 Compare AWS Lambda with Google Cloud Functions.mp4 9.04Мб
001. 16.1 Course summary.mp4 25.01Мб
001. 2.1 Set up Cloud9.mp4 19.16Мб
001. 3.1 Use AWS Lambda with Cloudwatch events.mp4 19.84Мб
001. 4.1 Create a Producer Lambda function.mp4 48.50Мб
001. 5.1 Install SAM Local.mp4 19.60Мб
001. 6.1 What is AWS Glue.mp4 13.11Мб
001. 7.1 Learn step functions.mp4 38.85Мб
001. 8.1 Learn integration with other AWS products.mp4 19.66Мб
001. 9.1 Serverless relational databases.mp4 20.44Мб
001. Data Engineering with Python and AWS Lambda LiveLessons Introduction.mp4 36.29Мб
002. 1.2 Learn basic Lambda patterns.mp4 21.73Мб
002. 10.2 Integrate Lambda and API Gateway best practices.mp4 83.04Мб
002. 11.2 Use Cognito User Pools.mp4 37.96Мб
002. 12.2 Use Amazon Athena for data engineering.mp4 15.36Мб
002. 13.2 Integrate Lambda with AI APIs.mp4 25.94Мб
002. 14.2 Use Computer Vision Streams.mp4 11.59Мб
002. 15.2 Use GCP Cloud Functions with Pub Sub + Cloud Scheduler.mp4 31.43Мб
002. 2.2 Develop with Cloud9.mp4 14.68Мб
002. 3.2 Use AWS Lambda to populate AWS SQS.mp4 71.77Мб
002. 4.2 Enable SQS Trigger.mp4 20.29Мб
002. 5.3 Use SAM to package and deploy Lambda.mp4 20.62Мб
002. 6.2 Use AWS Glue.mp4 14.26Мб
002. 7.2 Use Amazon States Language.mp4 32.07Мб
002. 8.2 Use DynamoDB with step functions.mp4 22.13Мб
002. 9.2 Use Aurora Serverless.mp4 15.48Мб
003. 1.3 Learn Lambda Management console.mp4 29.11Мб
003. 11.3 Use Cognito authentication with API Gateway.mp4 19.50Мб
003. 12.3 Use Amazon EMR for data engineering.mp4 12.59Мб
003. 13.3 Integrate Lambda with Sagemaker.mp4 23.16Мб
003. 15.3 Use Chalice framework.mp4 18.83Мб
003. 2.3 Launch Cloud9 and workspace configuration.mp4 14.05Мб
003. 3.3 Use AWS Cloudwatch logging with AWS Lambda.mp4 19.66Мб
003. 4.3 Serverless data engineering architecture.mp4 36.61Мб
003. 5.2 Use SAM Local to invoke functions locally.mp4 9.37Мб
003. 7.3 Step functions demo.mp4 72.38Мб
003. 8.3 Use AWS ECSFargate with step functions.mp4 37.95Мб
003. 9.3 Use Data API for Aurora Serverless.mp4 19.41Мб
004. 1.4 Upload external code to AWS Lambda.mp4 25.41Мб
004. 11.4 Use Federated Identity.mp4 17.58Мб
004. 12.4 Use Amazon EFS for data engineering.mp4 10.73Мб
004. 15.4 Push versus Pull Architecture.mp4 44.82Мб
004. 2.4 Import Lambda functions.mp4 13.77Мб
004. 5.5 Use SAM Lambda environment variables.mp4 22.79Мб
004. 8.4 Use AWS Callback Pattern.mp4 18.89Мб
004. 9.4 Use stored procedures to invoke Lambda.mp4 45.27Мб
005. 15.5 Principles of DevOps.mp4 52.27Мб
005. 2.5 Invoke Lambda functions.mp4 19.04Мб
005. 5.4 Use SAM with IAM.mp4 23.64Мб
006. 15.6 Principles of cloud computing.mp4 71.50Мб
006. 2.6 Invoke Lambda functions inside API Gateway.mp4 30.49Мб
007. 15.7 Summary of serverless computing.mp4 35.51Мб
007. 2.7 Deploy a Lambda function.mp4 16.96Мб
008. 15.8 Managing Packages in AWS Lambda.mp4 16.24Мб
009. 15.9 Multi-cloud solutions.mp4 21.79Мб
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