Building a Simple Data Analytics Pipeline on AWS
Learn how Amazon S3, AWS Glue, and Amazon Athena can work together to build a simple and scalable data analytics pipeline
# Building a Simple Data Analytics Pipeline on AWS
Data is valuable only when we can turn it into useful insights. AWS provides several managed services that make it easier to collect, store, process, and analyze data.
A simple analytics pipeline can follow this architecture:
**Raw Data → Amazon S3 → AWS Glue → Amazon Athena → Insights**
## 1. Store Data with Amazon S3
Amazon S3 provides scalable object storage for datasets such as CSV, JSON, and Parquet files.
For example:
```text
sales/
├── raw/
└── processed/
sales/
├── raw/
└── processed/
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