AWS S3
Connect Amazon S3 to Airfold to sync with your cloud storage data.
5 Reasons to Use This Integration
1. Centralized Data Lake Analysis
Combine Amazon S3's scalable storage capabilities with Airfold's analytics platform to create a unified view of your data lake, incorporating it into your revenue operations analysis.
2. AI-Driven Insights from Unstructured Data
Leverage Airfold's AI capabilities to analyze large volumes of unstructured data stored in S3, uncovering hidden patterns and trends that can drive business decisions.
3. Custom Cross-Source Dashboards
Create tailored dashboards that blend S3 data with other sources, giving you unique insights across your entire data ecosystem, from raw data files to processed analytics.
4. Automated Data Pipeline Integration
Seamlessly integrate S3 into your data pipelines, allowing for automated ingestion, processing, and analysis of data stored in your S3 buckets alongside other revenue data sources.
5. Cost-Effective Big Data Management
Optimize your data storage and analysis costs by leveraging S3's tiered storage classes while gaining the analytical power of Airfold for your RevOps needs.
What's Included In The Integration?
Amazon S3 data objects:
- Buckets
- Objects (files)
- Folders (prefixes)
- Versioned objects
- Metadata
S3 capabilities:
- Data retrieval
- Data upload
- Lifecycle management
- Versioning
- Access control
Airfold actions:
- Retrieve data from S3 buckets
- Analyze files stored in S3
- Create custom metrics and KPIs using S3 data
- Generate AI-powered insights from S3 datasets
- Write back processed data or insights to S3
- Schedule and automate data syncs and report generation
How to Set It Up
- Log in to your Airfold account and navigate to the Integrations page.
- Find and select the Amazon S3 integration.
- Click "Connect" and you'll be prompted to provide your AWS credentials:
- Enter your AWS Access Key ID and Secret Access Key
- Alternatively, use IAM role-based authentication if your Airfold instance is running on AWS
- Once authenticated, specify the S3 buckets and prefixes you want to connect to Airfold.
- Configure access permissions, ensuring Airfold has the necessary read (and write, if needed) access to your S3 resources.
- Set up data sync options:
- Choose file types to sync (CSV, JSON, Parquet, etc.)
- Set up the sync frequency (real-time, hourly, daily, etc.)
- Configure any data transformations or preprocessing steps
- Map S3 data structures to Airfold's data model, defining how files and folders correspond to your analytics schema.
- Set up any specific automations or workflows you want to create between S3 and Airfold.
- Optionally, configure advanced settings such as versioning handling or large file processing strategies.
- Save your settings and start using S3 data in your Airfold dashboards and reports.
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