Data Engineering with Python and AWS Lambda
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6:23:40
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001. Data Engineering with Python and AWS Lambda LiveLessons Introduction.mp4
05:25
001. 1.1 Create a Hello World AWS Lambda function in the console.mp4
06:31
002. 1.2 Learn basic Lambda patterns.mp4
06:03
003. 1.3 Learn Lambda Management console.mp4
08:13
004. 1.4 Upload external code to AWS Lambda.mp4
07:02
001. 2.1 Set up Cloud9.mp4
05:11
002. 2.2 Develop with Cloud9.mp4
04:06
003. 2.3 Launch Cloud9 and workspace configuration.mp4
03:54
004. 2.4 Import Lambda functions.mp4
03:32
005. 2.5 Invoke Lambda functions.mp4
04:17
006. 2.6 Invoke Lambda functions inside API Gateway.mp4
06:47
007. 2.7 Deploy a Lambda function.mp4
03:39
001. 3.1 Use AWS Lambda with Cloudwatch events.mp4
05:00
002. 3.2 Use AWS Lambda to populate AWS SQS.mp4
15:56
003. 3.3 Use AWS Cloudwatch logging with AWS Lambda.mp4
04:22
001. 4.1 Create a Producer Lambda function.mp4
09:09
002. 4.2 Enable SQS Trigger.mp4
04:22
003. 4.3 Serverless data engineering architecture.mp4
04:28
001. 5.1 Install SAM Local.mp4
04:37
002. 5.3 Use SAM to package and deploy Lambda.mp4
04:58
003. 5.2 Use SAM Local to invoke functions locally.mp4
02:58
004. 5.5 Use SAM Lambda environment variables.mp4
06:28
005. 5.4 Use SAM with IAM.mp4
06:06
001. 6.1 What is AWS Glue.mp4
04:09
002. 6.2 Use AWS Glue.mp4
03:46
001. 7.1 Learn step functions.mp4
09:36
002. 7.2 Use Amazon States Language.mp4
08:25
003. 7.3 Step functions demo.mp4
18:50
001. 8.1 Learn integration with other AWS products.mp4
04:21
002. 8.2 Use DynamoDB with step functions.mp4
04:52
003. 8.3 Use AWS ECSFargate with step functions.mp4
08:03
004. 8.4 Use AWS Callback Pattern.mp4
04:39
001. 9.1 Serverless relational databases.mp4
06:06
002. 9.2 Use Aurora Serverless.mp4
04:13
003. 9.3 Use Data API for Aurora Serverless.mp4
04:48
004. 9.4 Use stored procedures to invoke Lambda.mp4
12:20
001. 10.1 Use API Gateway.mp4
17:21
002. 10.2 Integrate Lambda and API Gateway best practices.mp4
23:44
001. 11.1 Begin Cognito authentication.mp4
00:36
002. 11.2 Use Cognito User Pools.mp4
10:48
003. 11.3 Use Cognito authentication with API Gateway.mp4
06:22
004. 11.4 Use Federated Identity.mp4
05:20
001. 12.1 Use DynamoDB for data engineering.mp4
05:47
002. 12.2 Use Amazon Athena for data engineering.mp4
04:19
003. 12.3 Use Amazon EMR for data engineering.mp4
03:42
004. 12.4 Use Amazon EFS for data engineering.mp4
03:20
001. 13.1 Integrate Amazon Quicksite.mp4
04:06
002. 13.2 Integrate Lambda with AI APIs.mp4
02:55
003. 13.3 Integrate Lambda with Sagemaker.mp4
05:45
001. 14.1 Use Kinesis Streams.mp4
08:32
002. 14.2 Use Computer Vision Streams.mp4
02:56
001. 15.1 Compare AWS Lambda with Google Cloud Functions.mp4
02:37
002. 15.2 Use GCP Cloud Functions with Pub Sub + Cloud Scheduler.mp4
09:30
003. 15.3 Use Chalice framework.mp4
04:24
004. 15.4 Push versus Pull Architecture.mp4
04:58
005. 15.5 Principles of DevOps.mp4
05:51
006. 15.6 Principles of cloud computing.mp4
08:03
007. 15.7 Summary of serverless computing.mp4
03:40
008. 15.8 Managing Packages in AWS Lambda.mp4
03:30
009. 15.9 Multi-cloud solutions.mp4
05:04
001. 16.1 Course summary.mp4
03:18
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- language english
- Training sessions 61
- duration 6:23:40
- Release Date 2023/12/06
