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1.
Introduction
1.1
Google Play
1.2
Crawl Data
1.3
Layer
1.4
Data Processing
1.5
DistilBERT-SST2 Model
1.6
Sagemaker Batch Transform
2.
Preparation Steps
2.1
Create an IAM role with sufficient permissions
2.2
Create S3 Bucket
2.3
Add Layer google_play_scraper
2.4
Create distilbert-sst2 model and upload to s3
3.
Create model on Sagemaker
4.
Create lambda to get data and trigger model
4.1
Create lambda to get app_details data
4.2
Create Lambda to collect app_reviews data
4.3
Create lambda to trigger data processing module
4.4
Schedule periodic runs with EventBridge
4.5
Keys to prepare
5.
Crawler and Data Processing on Glue
5.1
Create ETL job using Glue job
5.2
Create crawler for Chplay-gold layer
6.
Create Reports on QuickSight and Query with Athena
6.1
Query data on Athena
6.2
Create report on QuickSight
7.
Clean Up Resources
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Last Updated
12-9-2025
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Enhanced data for app review reports on market
> Preparation Steps
Preparation Steps
Preparation Steps
In this hands-on exercise, we will build a model following the diagram below:
Content
Create IAM Role
Create S3 Bucket
Add Layer google_play_scrape
Create distilbert-sst2 model and upload to S3
