Amazon S3

Data Source Integration

Connect your Amazon S3 buckets to ChartCastr and transform stored data files into automated, actionable reports for your team.

Features

Multiple File Formats

Support for CSV, JSON, Parquet, and other common data formats

Bucket Organization

Access data from multiple S3 buckets and folders

Automatic Detection

Automatically detect and process new files in your buckets

Secure Access

IAM role-based authentication for secure data access

Common Use Cases

  • Log Analysis

    Process and visualize application logs, server metrics, and system data

  • Data Lake Reports

    Generate insights from your data lake storage without moving data

  • Backup & Archive

    Report on backup status, storage usage, and archival metrics

  • ETL Pipeline Output

    Visualize processed data from your ETL pipelines stored in S3

How It Works

1

Configure AWS Access

Set up IAM credentials or role-based access to your S3 buckets

2

Select Your Data

Choose which buckets, folders, and file patterns to monitor

3

Define Processing Rules

Specify how to parse and transform your data files

4

Automate Reports

Set up scheduled or triggered reports based on your S3 data

Ready to Connect Amazon S3?

Start building reports from your cloud storage data today.

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