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1.
Introduction
1.1
Project Goals
1.2
Purpose and Applications
2.
Preparation Steps
2.1
Create IAM Role
2.2
Create S3 Bucket
2.3
Upload Sample Data
3.
Create Glue Crawler
3.1
Create Glue Database
3.2
Create Glue Crawler
3.3
Run Crawler
4.
Create Glue Job
4.1
Create New Glue Job
4.2
Write ETL Script
4.3
Run Job & Verify Output
5.
Create Glue Crawler for Processed Data
5.1
Create New Crawler
5.2
Run Crawler and Verify Table
6.
Query with Amazon Athena
6.1
Configure Athena
6.2
Query Processed Data
6.3
Advanced Queries
7.
Automate with AWS Lambda
7.1
Create Lambda Function
7.2
Write Python Code for Lambda
7.3
Attach S3 Trigger
7.4
Track User Behavior with AWS CloudTrail
8.
Visualize with Amazon QuickSight
8.1
Connect Athena to QuickSight
8.2
Create interactive dashboard
9.
Clean Up Resources
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Workshop
Cloud Journey
Last Updated
26-11-2023
Team
Gia Hưng
AWS Data Pipeline Workshop
>
Create Glue Job
> Run Job & Verify Output
4.3 Run Job & Verify Output
Run Job & Verify Output
4.3 Run Job & Verify Output
Go to Glue → Jobs → select
ProcessJob
→
Run
Monitor job status:
RUNNING → SUCCEEDED
Open S3 Bucket → check the
processed/
folder
Verify output file format: Parquet or CSV