AppFlow
AWS AppFlow is a fully managed integration service that allows you to securely transfer data between AWS services and SaaS applications like Salesforce, SAP, Slack, and ServiceNow—without writing custom code. It helps automate data ingestion, synchronization, and transformation, making it easier to manage workflows across different platforms.
Key Features of AWS AppFlow
1. No-Code Data Integration
- Connects AWS services (like S3, Redshift, and EventBridge) with SaaS applications (Salesforce, Google Analytics, Zendesk, etc.).
- Supports bidirectional data flow between AWS and third-party services.
2. Secure Data Transfer
- Uses AWS PrivateLink to avoid exposing data to the public internet.
- Supports encryption using AWS KMS.
3. Automatic Data Transformation
- Supports filtering, validation, mapping, and aggregation.
- Applies transformations like merging fields, masking sensitive data, and filtering records.
4. Event-Driven & Scheduled Flows
- Triggers data flows on-demand, on a schedule, or based on events.
- Example: Automatically sync new Salesforce records to an S3 bucket.
5. Scalable & Cost-Effective
- Pay-as-you-go pricing with no upfront costs.
- Scales based on data volume and frequency.
Amazon S3 Glacier Select
S3 Glacier Select allows you to query and retrieve specific data from Amazon S3 Glacier without restoring the entire archive. It supports SQL-based filtering, reducing data retrieval time and cost.
1. How S3 Glacier Select Works
- Instead of retrieving the full archive, you can run SQL queries on CSV, JSON, or Apache Parquet files stored in Glacier.
- Returns only the required data, optimizing cost and retrieval performance.
- Works with Standard, Bulk, and Expedited retrieval tiers.
2. Use Cases
- Extracting specific records from large compressed log files.
- Running partial data analysis without full archive retrieval.
- Reducing storage costs by avoiding unnecessary data transfers.