This video covers a hands-on example in setting up Batch Processing example using Amazon Data Pipeline which leverages S3 and DynamoDB along with Amazon EMR.
The following is the agenda for the video:

⏱ Chapter Timestamps

0:00 - Introduction
00:28 - Architecture Flow
2:31 - Pre-requisite: Amazon S3 Buckets Creation
3:44 - Pre-requisite: Amazon DynamoDB Table Creation
5:15 - Pre-requisite: Amazon S3 file format Creation
8:20 - Pre-requisite: Amazon Data Pipeline Creation
12:40 - Data Format Configuration in Data Pipeline
14:14 - Activate Data Pipeline
17:52 - Data Loaded into DynamoDB
19:03 - Serverless Data Pipeline Trigger using EventBridge and Lambda
20:06 - Summary

πŸ“Œ Links

πŸ”— Amazon Data Pipeline: https://aws.amazon.com/datapipeline/

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πŸ”— Containers Primer: https://www.youtube.com/watch?v=yo2g_CZZWL4&list=PLTyWtrsGknYf_Oee7YOvom5Ev0F3-E2zB
πŸ”— Kubernetes Primer: https://www.youtube.com/playlist?list=PLTyWtrsGknYfanKF33E12LdJvl5q5PZGp

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🎬Video Editing: FCP


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Batch Processing Example using Amazon Data Pipeline | S3 to DynamoDB using Amazon EMR
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