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- Data Platform
Build Cost-Effective Data Platform
Get started for building cost-effective data platform
By AWS Solutions Architects
Deployment method
Implementation guide
Estimated deployment time
1 hour 50 minutes
AWS Services
- Amazon Athena
- AWS Glue
- Amazon Quicksight
- Database
Overview
This workshop demonstrates how to build a modern, cost-effective data platform using Amazon Athena and DBT (Data Build Tool) . This serverless architecture is particularly suitable for Startup/SMB looking to implement data analytics solutions to leverage the existing usage of AWS Athena service with low cost.
Learning Objectives
This workshop will take you through the following:
- Understanding serverless data platform architecture and its cost benefits
- Understanding Iceberg table format and its benefits
- Using AWS DMS to ingest data from Aurora to S3
- Using AWS Glue Crawler for automated schema discovery
- Using DBT to transform data
- Using Amazon Athena to query data
- Using Amazon QuickSight to visualize data
- Leverage Generative BI capabilities with Amazon Q in QuickSight
Target Audience
This workshop is intended for data engineers and analysts. This workshop will guide you through understanding the key components associated with building a cost-effective modern data platform.
Ideally you should have basic understanding of data lakes and SQL commands and some experience with AWS services.
